Ejemplo n.º 1
0
Archivo: ex58.c Proyecto: 00liujj/petsc
int main(int argc,char **argv)
{
  Mat            A,B;
  PetscInt       m = 7,n,i,rstart,rend,cols[3];
  PetscErrorCode ierr;
  PetscScalar    v[3];
  PetscBool      equal;
  const char     *eq[2];

  ierr = PetscInitialize(&argc,&argv,(char*)0,help);CHKERRQ(ierr);
  ierr = PetscViewerSetFormat(PETSC_VIEWER_STDOUT_WORLD,PETSC_VIEWER_ASCII_COMMON);CHKERRQ(ierr);
  ierr = PetscOptionsGetInt(NULL,"-m",&m,NULL);CHKERRQ(ierr);
  n    = m;

  /* ------- Assemble matrix, --------- */

  ierr = MatCreateAIJ(PETSC_COMM_WORLD,PETSC_DECIDE,PETSC_DECIDE,m,n,0,0,0,0,&A);CHKERRQ(ierr);
  ierr = MatSetOption(A,MAT_NEW_NONZERO_LOCATION_ERR,PETSC_FALSE);CHKERRQ(ierr);
  ierr = MatGetOwnershipRange(A,&rstart,&rend);CHKERRQ(ierr);
  if (!rstart) {
    cols[0] = 0;
    cols[1] = 1;
    v[0]    = 2.0; v[1] = -1.0;
    ierr    = MatSetValues(A,1,&rstart,2,cols,v,INSERT_VALUES);CHKERRQ(ierr);
    rstart++;
  }
  if (rend == m) {
    rend--;
    cols[0] = rend-1;
    cols[1] = rend;
    v[0]    = -1.0; v[1] = 2.0;
    ierr    = MatSetValues(A,1,&rend,2,cols,v,INSERT_VALUES);CHKERRQ(ierr);
  }
  v[0] = -1.0; v[1] = 2.0; v[2] = -1.0;
  for (i=rstart; i<rend; i++) {
    cols[0] = i-1;
    cols[1] = i;
    cols[2] = i+1;
    ierr    = MatSetValues(A,1,&i,3,cols,v,INSERT_VALUES);CHKERRQ(ierr);
  }
  ierr = MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);

  ierr = MatTranspose(A,MAT_INITIAL_MATRIX,&B);CHKERRQ(ierr);

  ierr = MatEqual(A,B,&equal);

  eq[0] = "not equal";
  eq[1] = "equal";
  ierr  = PetscPrintf(PETSC_COMM_WORLD,"Matrices are %s\n",eq[equal]);CHKERRQ(ierr);

  /* Free data structures */
  ierr = MatDestroy(&A);CHKERRQ(ierr);
  ierr = MatDestroy(&B);CHKERRQ(ierr);


  ierr = PetscFinalize();
  return 0;
}
Ejemplo n.º 2
0
int main(int argc,char **args)
{
  Mat            A,B;
  PetscErrorCode ierr;
  char           file[PETSC_MAX_PATH_LEN];
  PetscBool      flg;
  PetscViewer    fd;

  ierr = PetscInitialize(&argc,&args,(char*)0,help);if (ierr) return ierr;
  ierr = PetscOptionsGetString(NULL,NULL,"-f",file,PETSC_MAX_PATH_LEN,&flg);CHKERRQ(ierr);
  if (!flg) SETERRQ(PETSC_COMM_WORLD,1,"Must indicate binary file with the -f option");

  /*
     Open binary file.  Note that we use FILE_MODE_READ to indicate
     reading from this file.
  */
  ierr = PetscViewerBinaryOpen(PETSC_COMM_WORLD,file,FILE_MODE_READ,&fd);CHKERRQ(ierr);

  /*
     Load the matrix; then destroy the viewer.
  */
  ierr = MatCreate(PETSC_COMM_WORLD,&A);CHKERRQ(ierr);
  ierr = MatSetFromOptions(A);CHKERRQ(ierr);
  ierr = MatLoad(A,fd);CHKERRQ(ierr);
  ierr = PetscViewerDestroy(&fd);CHKERRQ(ierr);

  /*
     Open another binary file.  Note that we use FILE_MODE_WRITE to indicate writing to the file
  */
  ierr = PetscViewerBinaryOpen(PETSC_COMM_WORLD,"fileoutput",FILE_MODE_WRITE,&fd);CHKERRQ(ierr);
  ierr = PetscViewerBinarySetFlowControl(fd,3);CHKERRQ(ierr);
  /*
     Save the matrix and vector; then destroy the viewer.
  */
  ierr = MatView(A,fd);CHKERRQ(ierr);
  ierr = PetscViewerDestroy(&fd);CHKERRQ(ierr);

  /* load the new matrix */
  ierr = PetscViewerBinaryOpen(PETSC_COMM_WORLD,"fileoutput",FILE_MODE_READ,&fd);CHKERRQ(ierr);
  ierr = MatCreate(PETSC_COMM_WORLD,&B);CHKERRQ(ierr);
  ierr = MatSetFromOptions(B);CHKERRQ(ierr);
  ierr = MatLoad(B,fd);CHKERRQ(ierr);
  ierr = PetscViewerDestroy(&fd);CHKERRQ(ierr);

  ierr = MatEqual(A,B,&flg);CHKERRQ(ierr);
  if (flg) {
    ierr = PetscPrintf(PETSC_COMM_WORLD,"Matrices are equal\n");CHKERRQ(ierr);
  } else {
    ierr = PetscPrintf(PETSC_COMM_WORLD,"Matrices are not equal\n");CHKERRQ(ierr);
  }

  ierr = MatDestroy(&A);CHKERRQ(ierr);
  ierr = MatDestroy(&B);CHKERRQ(ierr);
  ierr = PetscFinalize();
  return ierr;
}
Ejemplo n.º 3
0
int main(int argc,char **args)
{
  Mat            C,A;
  PetscScalar    v;
  PetscInt       i,j,m = 4,n = 4,Ii,J,Istart,Iend;
  PetscMPIInt    rank,size;
  PetscErrorCode ierr;
  PetscBool      equal=PETSC_FALSE;

  PetscInitialize(&argc,&args,(char *)0,help);
  ierr = MPI_Comm_rank(PETSC_COMM_WORLD,&rank);CHKERRQ(ierr);
  ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRQ(ierr);

  ierr = PetscOptionsGetInt(PETSC_NULL,"-m",&m,PETSC_NULL);CHKERRQ(ierr);
  n    = m;

  ierr = MatCreateAIJ(PETSC_COMM_WORLD,PETSC_DECIDE,PETSC_DECIDE,
         m*n,m*n,5,PETSC_NULL,5,PETSC_NULL,&C);CHKERRQ(ierr);

  /* create the symmetric matrix for the five point stencil */
  ierr = MatGetOwnershipRange(C,&Istart,&Iend);CHKERRQ(ierr);
  for (Ii=Istart; Ii<Iend; Ii++) {
    v = -1.0; i = Ii/n; j = Ii - i*n;
    if (i>0)   {J = Ii - n; ierr = MatSetValues(C,1,&Ii,1,&J,&v,INSERT_VALUES);CHKERRQ(ierr);}
    if (i<m-1) {J = Ii + n; ierr = MatSetValues(C,1,&Ii,1,&J,&v,INSERT_VALUES);CHKERRQ(ierr);}
    if (j>0)   {J = Ii - 1; ierr = MatSetValues(C,1,&Ii,1,&J,&v,INSERT_VALUES);CHKERRQ(ierr);}
    if (j<n-1) {J = Ii + 1; ierr = MatSetValues(C,1,&Ii,1,&J,&v,INSERT_VALUES);CHKERRQ(ierr);}
    v = 4.0; ierr = MatSetValues(C,1,&Ii,1,&Ii,&v,INSERT_VALUES);CHKERRQ(ierr);
  }
  ierr = MatAssemblyBegin(C,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(C,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);

  ierr = MatTranspose(C,MAT_INITIAL_MATRIX,&A);CHKERRQ(ierr);

  ierr = MatEqual(C,A,&equal);CHKERRQ(ierr);
  if (!equal) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"C != C^T");

  ierr = MatDestroy(&C);CHKERRQ(ierr);
  ierr = MatDestroy(&A);CHKERRQ(ierr);
  ierr = PetscFinalize();
  return 0;
}
Ejemplo n.º 4
0
PetscErrorCode MatEqual_SMF(Mat A,Mat B,PetscBool *flg)
{
  PetscErrorCode    ierr;
  MatSubMatFreeCtx  ctx1,ctx2;
  PetscBool         flg1,flg2,flg3;

  PetscFunctionBegin;
  ierr = MatShellGetContext(A,(void **)&ctx1);CHKERRQ(ierr);
  ierr = MatShellGetContext(B,(void **)&ctx2);CHKERRQ(ierr);
  ierr = ISEqual(ctx1->Rows,ctx2->Rows,&flg2);CHKERRQ(ierr);
  ierr = ISEqual(ctx1->Cols,ctx2->Cols,&flg3);CHKERRQ(ierr);
  if (flg2==PETSC_FALSE || flg3==PETSC_FALSE){
    *flg=PETSC_FALSE;
  } else {
    ierr = MatEqual(ctx1->A,ctx2->A,&flg1);CHKERRQ(ierr);
    if (flg1==PETSC_FALSE){ *flg=PETSC_FALSE;}
    else { *flg=PETSC_TRUE;}
  }
  PetscFunctionReturn(0);
}
Ejemplo n.º 5
0
PetscInt main(PetscInt argc,char **args)
{
  Mat            A,As;    
  Vec            x,y,ys;
  PetscTruth     flg,disp_mat=PETSC_FALSE,disp_vec=PETSC_FALSE;  
  PetscErrorCode ierr;
  PetscMPIInt    size,rank;
  PetscInt       m,i,j; 
  PetscScalar    v,sigma2;
  PetscRandom    rctx;
  PetscReal      h2,sigma1=100.0,norm;
  PetscInt       dim,Ii,J,n = 3,use_random,rstart,rend;
  
  PetscInitialize(&argc,&args,(char *)0,help);
#if !defined(PETSC_USE_COMPLEX)
  SETERRQ(1,"This example requires complex numbers");
#endif
  ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRQ(ierr);
  ierr = MPI_Comm_rank(PETSC_COMM_WORLD,&rank);CHKERRQ(ierr);
  ierr = PetscOptionsHasName(PETSC_NULL, "-display_mat", &disp_mat);CHKERRQ(ierr);
  ierr = PetscOptionsHasName(PETSC_NULL, "-display_vec", &disp_vec);CHKERRQ(ierr);

  ierr = PetscOptionsGetReal(PETSC_NULL,"-sigma1",&sigma1,PETSC_NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetInt(PETSC_NULL,"-n",&n,PETSC_NULL);CHKERRQ(ierr);
  dim  = n*n;

  ierr = MatCreate(PETSC_COMM_WORLD,&A);CHKERRQ(ierr);
  ierr = MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,dim,dim);CHKERRQ(ierr);
  ierr = MatSetType(A,MATAIJ);CHKERRQ(ierr);
  ierr = MatSetFromOptions(A);CHKERRQ(ierr);

  ierr = PetscOptionsHasName(PETSC_NULL,"-norandom",&flg);CHKERRQ(ierr);
  if (flg) use_random = 0;
  else     use_random = 1;
  if (use_random) {
    ierr = PetscRandomCreate(PETSC_COMM_WORLD,&rctx);CHKERRQ(ierr);
    ierr = PetscRandomSetFromOptions(rctx);CHKERRQ(ierr);
    ierr = PetscRandomSetInterval(rctx,0.0,PETSC_i);CHKERRQ(ierr); 
    ierr = PetscRandomGetValue(rctx,&sigma2);CHKERRQ(ierr); /* RealPart(sigma2) == 0.0 */
  } else {
    sigma2 = 10.0*PETSC_i;
  }
  h2 = 1.0/((n+1)*(n+1));

  ierr = MatGetOwnershipRange(A,&rstart,&rend);CHKERRQ(ierr);
  for (Ii=rstart; Ii<rend; Ii++) { 
    v = -1.0; i = Ii/n; j = Ii - i*n;  
    if (i>0) {
      J = Ii-n; ierr = MatSetValues(A,1,&Ii,1,&J,&v,ADD_VALUES);CHKERRQ(ierr);}
    if (i<n-1) {
      J = Ii+n; ierr = MatSetValues(A,1,&Ii,1,&J,&v,ADD_VALUES);CHKERRQ(ierr);}
    if (j>0) {
      J = Ii-1; ierr = MatSetValues(A,1,&Ii,1,&J,&v,ADD_VALUES);CHKERRQ(ierr);}
    if (j<n-1) {
      J = Ii+1; ierr = MatSetValues(A,1,&Ii,1,&J,&v,ADD_VALUES);CHKERRQ(ierr);}
    v = 4.0 - sigma1*h2; 
    ierr = MatSetValues(A,1,&Ii,1,&Ii,&v,ADD_VALUES);CHKERRQ(ierr);
  }
  ierr = MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);

  /* Check whether A is symmetric */
  ierr = PetscOptionsHasName(PETSC_NULL, "-check_symmetric", &flg);CHKERRQ(ierr);
  if (flg) {
    Mat Trans;
    ierr = MatTranspose(A,MAT_INITIAL_MATRIX, &Trans);
    ierr = MatEqual(A, Trans, &flg);
    if (!flg) SETERRQ(PETSC_ERR_USER,"A is not symmetric");
    ierr = MatDestroy(Trans);CHKERRQ(ierr);
  } 
  ierr = MatSetOption(A,MAT_SYMMETRIC,PETSC_TRUE);CHKERRQ(ierr);

  /* make A complex Hermitian */
  Ii = 0; J = dim-1;
  if (Ii >= rstart && Ii < rend){
    v = sigma2*h2; /* RealPart(v) = 0.0 */
    ierr = MatSetValues(A,1,&Ii,1,&J,&v,ADD_VALUES);CHKERRQ(ierr);
    v = -sigma2*h2;
    ierr = MatSetValues(A,1,&J,1,&Ii,&v,ADD_VALUES);CHKERRQ(ierr);
  }

  Ii = dim-2; J = dim-1;
  if (Ii >= rstart && Ii < rend){
  v = sigma2*h2; /* RealPart(v) = 0.0 */
  ierr = MatSetValues(A,1,&Ii,1,&J,&v,ADD_VALUES);CHKERRQ(ierr);
  v = -sigma2*h2;
  ierr = MatSetValues(A,1,&J,1,&Ii,&v,ADD_VALUES);CHKERRQ(ierr);
  }

  ierr = MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);

  /* Check whether A is Hermitian */
  ierr = PetscOptionsHasName(PETSC_NULL, "-check_Hermitian", &flg);CHKERRQ(ierr);
  if (flg) {
    Mat Hermit;
    if (disp_mat){
      if (!rank) printf(" A:\n");
      ierr = MatView(A,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
    }
    ierr = MatHermitianTranspose(A,MAT_INITIAL_MATRIX, &Hermit);
    if (disp_mat){
      if (!rank) printf(" A_Hermitian:\n");
      ierr = MatView(Hermit,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
    }
    ierr = MatEqual(A, Hermit, &flg);
    if (!flg) SETERRQ(PETSC_ERR_USER,"A is not Hermitian");
    ierr = MatDestroy(Hermit);CHKERRQ(ierr);
  }
  ierr = MatSetOption(A,MAT_HERMITIAN,PETSC_TRUE);CHKERRQ(ierr);
  
  /* Create a Hermitian matrix As in sbaij format */
  ierr = MatConvert(A,MATSBAIJ,MAT_INITIAL_MATRIX,&As);CHKERRQ(ierr); 
  if (disp_mat){
    if (!rank) {ierr = PetscPrintf(PETSC_COMM_SELF," As:\n");CHKERRQ(ierr);}
    ierr = MatView(As,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
  }

  ierr = MatGetLocalSize(A,&m,&n);CHKERRQ(ierr);
  ierr = VecCreate(PETSC_COMM_WORLD,&x);CHKERRQ(ierr);
  ierr = VecSetSizes(x,n,PETSC_DECIDE);CHKERRQ(ierr);
  ierr = VecSetFromOptions(x);CHKERRQ(ierr);
  if (use_random){
    ierr = VecSetRandom(x,rctx);CHKERRQ(ierr);
  } else {
    ierr = VecSet(x,1.0);CHKERRQ(ierr);
  }

  /* Create vectors */
  ierr = VecCreate(PETSC_COMM_WORLD,&y);CHKERRQ(ierr);
  ierr = VecSetSizes(y,m,PETSC_DECIDE);CHKERRQ(ierr);
  ierr = VecSetFromOptions(y);CHKERRQ(ierr);
  ierr = VecDuplicate(y,&ys);CHKERRQ(ierr);

  /* Test MatMult */
  ierr = MatMult(A,x,y);CHKERRQ(ierr);
  ierr = MatMult(As,x,ys);CHKERRQ(ierr);
  if (disp_vec){
    printf("y = A*x:\n");
    ierr = VecView(y,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
    ierr = PetscPrintf(PETSC_COMM_WORLD,"ys = As*x:\n");
    ierr = VecView(ys,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
  }
  ierr = VecAXPY(y,-1.0,ys);CHKERRQ(ierr);
  ierr = VecNorm(y,NORM_INFINITY,&norm);CHKERRQ(ierr);
  if (norm > 1.e-12 || disp_vec){
    printf("|| A*x - As*x || = %G\n",norm);
  }

  /* Free spaces */
  if (use_random) {ierr = PetscRandomDestroy(rctx);CHKERRQ(ierr);}
  ierr = MatDestroy(A);CHKERRQ(ierr);
  ierr = MatDestroy(As);CHKERRQ(ierr);
  
  ierr = VecDestroy(x);CHKERRQ(ierr);
  ierr = VecDestroy(y);CHKERRQ(ierr);
  ierr = VecDestroy(ys);CHKERRQ(ierr);
  ierr = PetscFinalize();CHKERRQ(ierr);
  return 0;
}
Ejemplo n.º 6
0
int main(int argc,char **args)
{
  Mat            A,Atrans,sA,*submatA,*submatsA;
  PetscErrorCode ierr;
  PetscMPIInt    size,rank;
  PetscInt       bs=1,mbs=10,ov=1,i,j,k,*rows,*cols,nd=2,*idx,rstart,rend,sz,M,N,Mbs;
  PetscScalar    *vals,rval,one=1.0;
  IS             *is1,*is2;
  PetscRandom    rand;
  PetscBool      flg,TestOverlap,TestSubMat,TestAllcols,test_sorted=PETSC_FALSE;
  PetscInt       vid = -1;
#if defined(PETSC_USE_LOG)
  PetscLogStage  stages[2];
#endif

  ierr = PetscInitialize(&argc,&args,(char*)0,help);if (ierr) return ierr;
  ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRQ(ierr);
  ierr = MPI_Comm_rank(PETSC_COMM_WORLD,&rank);CHKERRQ(ierr);

  ierr = PetscOptionsGetInt(NULL,NULL,"-mat_block_size",&bs,NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetInt(NULL,NULL,"-mat_mbs",&mbs,NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetInt(NULL,NULL,"-ov",&ov,NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetInt(NULL,NULL,"-nd",&nd,NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetInt(NULL,NULL,"-view_id",&vid,NULL);CHKERRQ(ierr);
  ierr = PetscOptionsHasName(NULL,NULL, "-test_overlap", &TestOverlap);CHKERRQ(ierr);
  ierr = PetscOptionsHasName(NULL,NULL, "-test_submat", &TestSubMat);CHKERRQ(ierr);
  ierr = PetscOptionsHasName(NULL,NULL, "-test_allcols", &TestAllcols);CHKERRQ(ierr);
  ierr = PetscOptionsGetBool(NULL,NULL,"-test_sorted",&test_sorted,NULL);CHKERRQ(ierr);

  ierr = MatCreate(PETSC_COMM_WORLD,&A);CHKERRQ(ierr);
  ierr = MatSetSizes(A,mbs*bs,mbs*bs,PETSC_DECIDE,PETSC_DECIDE);CHKERRQ(ierr);
  ierr = MatSetType(A,MATBAIJ);CHKERRQ(ierr);
  ierr = MatSeqBAIJSetPreallocation(A,bs,PETSC_DEFAULT,NULL);CHKERRQ(ierr);
  ierr = MatMPIBAIJSetPreallocation(A,bs,PETSC_DEFAULT,NULL,PETSC_DEFAULT,NULL);CHKERRQ(ierr);

  ierr = PetscRandomCreate(PETSC_COMM_WORLD,&rand);CHKERRQ(ierr);
  ierr = PetscRandomSetFromOptions(rand);CHKERRQ(ierr);

  ierr = MatGetOwnershipRange(A,&rstart,&rend);CHKERRQ(ierr);
  ierr = MatGetSize(A,&M,&N);CHKERRQ(ierr);
  Mbs  = M/bs;

  ierr = PetscMalloc1(bs,&rows);CHKERRQ(ierr);
  ierr = PetscMalloc1(bs,&cols);CHKERRQ(ierr);
  ierr = PetscMalloc1(bs*bs,&vals);CHKERRQ(ierr);
  ierr = PetscMalloc1(M,&idx);CHKERRQ(ierr);

  /* Now set blocks of values */
  for (j=0; j<bs*bs; j++) vals[j] = 0.0;
  for (i=0; i<Mbs; i++) {
    cols[0] = i*bs; rows[0] = i*bs;
    for (j=1; j<bs; j++) {
      rows[j] = rows[j-1]+1;
      cols[j] = cols[j-1]+1;
    }
    ierr = MatSetValues(A,bs,rows,bs,cols,vals,ADD_VALUES);CHKERRQ(ierr);
  }
  /* second, add random blocks */
  for (i=0; i<20*bs; i++) {
    ierr    = PetscRandomGetValue(rand,&rval);CHKERRQ(ierr);
    cols[0] = bs*(PetscInt)(PetscRealPart(rval)*Mbs);
    ierr    = PetscRandomGetValue(rand,&rval);CHKERRQ(ierr);
    rows[0] = rstart + bs*(PetscInt)(PetscRealPart(rval)*mbs);
    for (j=1; j<bs; j++) {
      rows[j] = rows[j-1]+1;
      cols[j] = cols[j-1]+1;
    }

    for (j=0; j<bs*bs; j++) {
      ierr    = PetscRandomGetValue(rand,&rval);CHKERRQ(ierr);
      vals[j] = rval;
    }
    ierr = MatSetValues(A,bs,rows,bs,cols,vals,ADD_VALUES);CHKERRQ(ierr);
  }

  ierr = MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);

  /* make A a symmetric matrix: A <- A^T + A */
  ierr = MatTranspose(A,MAT_INITIAL_MATRIX, &Atrans);CHKERRQ(ierr);
  ierr = MatAXPY(A,one,Atrans,DIFFERENT_NONZERO_PATTERN);CHKERRQ(ierr);
  ierr = MatDestroy(&Atrans);CHKERRQ(ierr);
  ierr = MatTranspose(A,MAT_INITIAL_MATRIX, &Atrans);CHKERRQ(ierr);
  ierr = MatEqual(A, Atrans, &flg);CHKERRQ(ierr);
  if (flg) {
    ierr = MatSetOption(A,MAT_SYMMETRIC,PETSC_TRUE);CHKERRQ(ierr);
  } else SETERRQ(PETSC_COMM_SELF,1,"A+A^T is non-symmetric");
  ierr = MatDestroy(&Atrans);CHKERRQ(ierr);

  /* create a SeqSBAIJ matrix sA (= A) */
  ierr = MatConvert(A,MATSBAIJ,MAT_INITIAL_MATRIX,&sA);CHKERRQ(ierr);
  if (vid >= 0 && vid < size) {
    if (!rank) printf("A: \n");
    ierr = MatView(A,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
    if (!rank) printf("sA: \n");
    ierr = MatView(sA,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
  }

  /* Test sA==A through MatMult() */
  ierr = MatMultEqual(A,sA,10,&flg);CHKERRQ(ierr);
  if (!flg) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONG,"Error in MatConvert(): A != sA");

  /* Test MatIncreaseOverlap() */
  ierr = PetscMalloc1(nd,&is1);CHKERRQ(ierr);
  ierr = PetscMalloc1(nd,&is2);CHKERRQ(ierr);

  for (i=0; i<nd; i++) {
    if (!TestAllcols) {
      ierr = PetscRandomGetValue(rand,&rval);CHKERRQ(ierr);
      sz   = (PetscInt)((0.5+0.2*PetscRealPart(rval))*mbs); /* 0.5*mbs < sz < 0.7*mbs */

      for (j=0; j<sz; j++) {
        ierr      = PetscRandomGetValue(rand,&rval);CHKERRQ(ierr);
        idx[j*bs] = bs*(PetscInt)(PetscRealPart(rval)*Mbs);
        for (k=1; k<bs; k++) idx[j*bs+k] = idx[j*bs]+k;
      }
      ierr = ISCreateGeneral(PETSC_COMM_SELF,sz*bs,idx,PETSC_COPY_VALUES,is1+i);CHKERRQ(ierr);
      ierr = ISCreateGeneral(PETSC_COMM_SELF,sz*bs,idx,PETSC_COPY_VALUES,is2+i);CHKERRQ(ierr);
      if (rank == vid) {
        ierr = PetscPrintf(PETSC_COMM_SELF," [%d] IS sz[%d]: %d\n",rank,i,sz);CHKERRQ(ierr);
        ierr = ISView(is2[i],PETSC_VIEWER_STDOUT_SELF);CHKERRQ(ierr);
      }
    } else { /* Test all rows and colums */
      sz   = M;
      ierr = ISCreateStride(PETSC_COMM_SELF,sz,0,1,is1+i);CHKERRQ(ierr);
      ierr = ISCreateStride(PETSC_COMM_SELF,sz,0,1,is2+i);CHKERRQ(ierr);

      if (rank == vid) {
        PetscBool colflag;
        ierr = ISIdentity(is2[i],&colflag);CHKERRQ(ierr);
        printf("[%d] is2[%d], colflag %d\n",rank,(int)i,(int)colflag);
        ierr = ISView(is2[i],PETSC_VIEWER_STDOUT_SELF);CHKERRQ(ierr);
      }
    }
  }

  ierr = PetscLogStageRegister("MatOv_SBAIJ",&stages[0]);CHKERRQ(ierr);
  ierr = PetscLogStageRegister("MatOv_BAIJ",&stages[1]);CHKERRQ(ierr);

  /* Test MatIncreaseOverlap */
  if (TestOverlap) {
    ierr = PetscLogStagePush(stages[0]);CHKERRQ(ierr);
    ierr = MatIncreaseOverlap(sA,nd,is2,ov);CHKERRQ(ierr);
    ierr = PetscLogStagePop();CHKERRQ(ierr);

    ierr = PetscLogStagePush(stages[1]);CHKERRQ(ierr);
    ierr = MatIncreaseOverlap(A,nd,is1,ov);CHKERRQ(ierr);
    ierr = PetscLogStagePop();CHKERRQ(ierr);

    if (rank == vid) {
      printf("\n[%d] IS from BAIJ:\n",rank);
      ierr = ISView(is1[0],PETSC_VIEWER_STDOUT_SELF);CHKERRQ(ierr);
      printf("\n[%d] IS from SBAIJ:\n",rank);
      ierr = ISView(is2[0],PETSC_VIEWER_STDOUT_SELF);CHKERRQ(ierr);
    }

    for (i=0; i<nd; ++i) {
      ierr = ISEqual(is1[i],is2[i],&flg);CHKERRQ(ierr);
      if (!flg) {
        if (!rank) {
          ierr = ISSort(is1[i]);CHKERRQ(ierr);
          /* ISView(is1[i],PETSC_VIEWER_STDOUT_SELF);CHKERRQ(ierr); */
          ierr = ISSort(is2[i]);CHKERRQ(ierr);
          /* ISView(is2[i],PETSC_VIEWER_STDOUT_SELF);CHKERRQ(ierr); */
        }
        SETERRQ1(PETSC_COMM_SELF,1,"i=%D, is1 != is2",i);
      }
    }
  }

  /* Test MatCreateSubmatrices */
  if (TestSubMat) {
    if (test_sorted) {
      for (i = 0; i < nd; ++i) {
        ierr = ISSort(is1[i]);CHKERRQ(ierr);
      }
    }
    ierr = MatCreateSubMatrices(A,nd,is1,is1,MAT_INITIAL_MATRIX,&submatA);CHKERRQ(ierr);
    ierr = MatCreateSubMatrices(sA,nd,is1,is1,MAT_INITIAL_MATRIX,&submatsA);CHKERRQ(ierr);

    ierr = MatMultEqual(A,sA,10,&flg);CHKERRQ(ierr);
    if (!flg) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE,"A != sA");

    /* Now test MatCreateSubmatrices with MAT_REUSE_MATRIX option */
    ierr = MatCreateSubMatrices(A,nd,is1,is1,MAT_REUSE_MATRIX,&submatA);CHKERRQ(ierr);
    ierr = MatCreateSubMatrices(sA,nd,is1,is1,MAT_REUSE_MATRIX,&submatsA);CHKERRQ(ierr);
    ierr = MatMultEqual(A,sA,10,&flg);CHKERRQ(ierr);
    if (!flg) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE,"MatCreateSubmatrices(): A != sA");

    ierr = MatDestroySubMatrices(nd,&submatA);CHKERRQ(ierr);
    ierr = MatDestroySubMatrices(nd,&submatsA);CHKERRQ(ierr);
  }

  /* Free allocated memory */
  for (i=0; i<nd; ++i) {
    ierr = ISDestroy(&is1[i]);CHKERRQ(ierr);
    ierr = ISDestroy(&is2[i]);CHKERRQ(ierr);
  }
  ierr = PetscFree(is1);CHKERRQ(ierr);
  ierr = PetscFree(is2);CHKERRQ(ierr);
  ierr = PetscFree(idx);CHKERRQ(ierr);
  ierr = PetscFree(rows);CHKERRQ(ierr);
  ierr = PetscFree(cols);CHKERRQ(ierr);
  ierr = PetscFree(vals);CHKERRQ(ierr);
  ierr = MatDestroy(&A);CHKERRQ(ierr);
  ierr = MatDestroy(&sA);CHKERRQ(ierr);
  ierr = PetscRandomDestroy(&rand);CHKERRQ(ierr);
  ierr = PetscFinalize();
  return ierr;
}
Ejemplo n.º 7
0
Archivo: ex104.c Proyecto: hansec/petsc
int main(int argc,char **argv)
{
  Mat            A,B,C,D;
  PetscInt       i,M=10,N=5,j,nrows,ncols;
  PetscErrorCode ierr;
  PetscRandom    r;
  PetscBool      equal,iselemental;
  PetscReal      fill = 1.0;
  IS             isrows,iscols;
  const PetscInt *rows,*cols;
  PetscScalar    *v,rval;

  PetscInitialize(&argc,&argv,(char*)0,help);
  ierr = PetscOptionsGetInt(NULL,"-M",&M,NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetInt(NULL,"-N",&N,NULL);CHKERRQ(ierr);
  ierr = MatCreate(PETSC_COMM_WORLD,&A);CHKERRQ(ierr);
  ierr = MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,M,N);CHKERRQ(ierr);
  ierr = MatSetType(A,MATDENSE);CHKERRQ(ierr);
  ierr = MatSetFromOptions(A);CHKERRQ(ierr);
  ierr = MatSetUp(A);CHKERRQ(ierr);
  ierr = PetscRandomCreate(PETSC_COMM_WORLD,&r);CHKERRQ(ierr);
  ierr = PetscRandomSetFromOptions(r);CHKERRQ(ierr);

  /* Set local matrix entries */
  ierr = MatGetOwnershipIS(A,&isrows,&iscols);CHKERRQ(ierr);
  ierr = ISGetLocalSize(isrows,&nrows);CHKERRQ(ierr);
  ierr = ISGetIndices(isrows,&rows);CHKERRQ(ierr);
  ierr = ISGetLocalSize(iscols,&ncols);CHKERRQ(ierr);
  ierr = ISGetIndices(iscols,&cols);CHKERRQ(ierr);
  ierr = PetscMalloc(nrows*ncols*sizeof(*v),&v);CHKERRQ(ierr);
  for (i=0; i<nrows; i++) {
    for (j=0; j<ncols; j++) {
      ierr         = PetscRandomGetValue(r,&rval);CHKERRQ(ierr);
      v[i*ncols+j] = rval;
    }
  }
  ierr = MatSetValues(A,nrows,rows,ncols,cols,v,INSERT_VALUES);CHKERRQ(ierr);
  ierr = MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = ISRestoreIndices(isrows,&rows);CHKERRQ(ierr);
  ierr = ISRestoreIndices(iscols,&cols);CHKERRQ(ierr);
  ierr = ISDestroy(&isrows);CHKERRQ(ierr);
  ierr = ISDestroy(&iscols);CHKERRQ(ierr);
  ierr = PetscFree(v);CHKERRQ(ierr);
  ierr = PetscRandomDestroy(&r);CHKERRQ(ierr);

  /* Test MatMatMult() */
  ierr = MatTranspose(A,MAT_INITIAL_MATRIX,&B);CHKERRQ(ierr); /* B = A^T */
  ierr = MatMatMult(B,A,MAT_INITIAL_MATRIX,fill,&C);CHKERRQ(ierr); /* C = B*A = A^T*A */

  ierr = MatMatMultSymbolic(B,A,fill,&D);CHKERRQ(ierr); /* D = B*A = A^T*A */
  for (i=0; i<2; i++) {
    /* Repeat the numeric product to test reuse of the previous symbolic product */
    ierr = MatMatMultNumeric(B,A,D);CHKERRQ(ierr);
  }
  ierr = MatMultEqual(C,D,10,&equal);CHKERRQ(ierr);
  if (!equal) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE,"C != D");
  ierr = MatDestroy(&D);CHKERRQ(ierr);

  /* Test MatTransposeMatMult() */
  ierr = PetscObjectTypeCompare((PetscObject)A,MATELEMENTAL,&iselemental);CHKERRQ(ierr);
  if (!iselemental) {
    ierr = MatTransposeMatMult(A,A,MAT_INITIAL_MATRIX,fill,&D);CHKERRQ(ierr); /* D = A^T*A */
    ierr = MatEqual(C,D,&equal);CHKERRQ(ierr);
    if (!equal) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE,"C != D");
    ierr = MatDestroy(&D);CHKERRQ(ierr);
  }

  ierr = MatDestroy(&C);CHKERRQ(ierr);
  ierr = MatDestroy(&B);
  ierr = MatDestroy(&A);
  PetscFinalize();
  return(0);
}
Ejemplo n.º 8
0
/*
      Mm_ratio - ration of grid lines between fine and coarse grids.
*/
int main(int argc,char **argv)
{
  PetscErrorCode ierr;
  AppCtx         user;
  PetscInt       Npx=PETSC_DECIDE,Npy=PETSC_DECIDE,Npz=PETSC_DECIDE;
  PetscMPIInt    size,rank;
  PetscInt       m,n,M,N,i,nrows;
  PetscScalar    one = 1.0;
  PetscReal      fill=2.0;
  Mat            A,A_tmp,P,C,C1,C2;
  PetscScalar    *array,none = -1.0,alpha;
  Vec            x,v1,v2,v3,v4;
  PetscReal      norm,norm_tmp,norm_tmp1,tol=100.*PETSC_MACHINE_EPSILON;
  PetscRandom    rdm;
  PetscBool      Test_MatMatMult=PETSC_TRUE,Test_MatPtAP=PETSC_TRUE,Test_3D=PETSC_TRUE,flg;
  const PetscInt *ia,*ja;

  ierr = PetscInitialize(&argc,&argv,NULL,help);if (ierr) return ierr;
  ierr = PetscOptionsGetReal(NULL,NULL,"-tol",&tol,NULL);CHKERRQ(ierr);

  user.ratio     = 2;
  user.coarse.mx = 20; user.coarse.my = 20; user.coarse.mz = 20;

  ierr = PetscOptionsGetInt(NULL,NULL,"-Mx",&user.coarse.mx,NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetInt(NULL,NULL,"-My",&user.coarse.my,NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetInt(NULL,NULL,"-Mz",&user.coarse.mz,NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetInt(NULL,NULL,"-ratio",&user.ratio,NULL);CHKERRQ(ierr);

  if (user.coarse.mz) Test_3D = PETSC_TRUE;

  user.fine.mx = user.ratio*(user.coarse.mx-1)+1;
  user.fine.my = user.ratio*(user.coarse.my-1)+1;
  user.fine.mz = user.ratio*(user.coarse.mz-1)+1;

  ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRQ(ierr);
  ierr = MPI_Comm_rank(PETSC_COMM_WORLD,&rank);CHKERRQ(ierr);
  ierr = PetscOptionsGetInt(NULL,NULL,"-Npx",&Npx,NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetInt(NULL,NULL,"-Npy",&Npy,NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetInt(NULL,NULL,"-Npz",&Npz,NULL);CHKERRQ(ierr);

  /* Set up distributed array for fine grid */
  if (!Test_3D) {
    ierr = DMDACreate2d(PETSC_COMM_WORLD, DM_BOUNDARY_NONE, DM_BOUNDARY_NONE,DMDA_STENCIL_STAR,user.fine.mx,user.fine.my,Npx,Npy,1,1,NULL,NULL,&user.fine.da);CHKERRQ(ierr);
  } else {
    ierr = DMDACreate3d(PETSC_COMM_WORLD,DM_BOUNDARY_NONE,DM_BOUNDARY_NONE,DM_BOUNDARY_NONE,DMDA_STENCIL_STAR,user.fine.mx,user.fine.my,user.fine.mz,Npx,Npy,Npz,1,1,NULL,NULL,NULL,&user.fine.da);CHKERRQ(ierr);
  }
  ierr = DMSetFromOptions(user.fine.da);CHKERRQ(ierr);
  ierr = DMSetUp(user.fine.da);CHKERRQ(ierr);

  /* Test DMCreateMatrix()                                         */
  /*------------------------------------------------------------*/
  ierr = DMSetMatType(user.fine.da,MATAIJ);CHKERRQ(ierr);
  ierr = DMCreateMatrix(user.fine.da,&A);CHKERRQ(ierr);
  ierr = DMSetMatType(user.fine.da,MATBAIJ);CHKERRQ(ierr);
  ierr = DMCreateMatrix(user.fine.da,&C);CHKERRQ(ierr);

  ierr = MatConvert(C,MATAIJ,MAT_INITIAL_MATRIX,&A_tmp);CHKERRQ(ierr); /* not work for mpisbaij matrix! */
  ierr = MatEqual(A,A_tmp,&flg);CHKERRQ(ierr);
  if (!flg) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_NOTSAMETYPE,"A != C");
  ierr = MatDestroy(&C);CHKERRQ(ierr);
  ierr = MatDestroy(&A_tmp);CHKERRQ(ierr);

  /*------------------------------------------------------------*/

  ierr = MatGetLocalSize(A,&m,&n);CHKERRQ(ierr);
  ierr = MatGetSize(A,&M,&N);CHKERRQ(ierr);
  /* if (!rank) printf("A %d, %d\n",M,N); */

  /* set val=one to A */
  if (size == 1) {
    ierr = MatGetRowIJ(A,0,PETSC_FALSE,PETSC_FALSE,&nrows,&ia,&ja,&flg);CHKERRQ(ierr);
    if (flg) {
      ierr = MatSeqAIJGetArray(A,&array);CHKERRQ(ierr);
      for (i=0; i<ia[nrows]; i++) array[i] = one;
      ierr = MatSeqAIJRestoreArray(A,&array);CHKERRQ(ierr);
    }
    ierr = MatRestoreRowIJ(A,0,PETSC_FALSE,PETSC_FALSE,&nrows,&ia,&ja,&flg);CHKERRQ(ierr);
  } else {
    Mat AA,AB;
    ierr = MatMPIAIJGetSeqAIJ(A,&AA,&AB,NULL);CHKERRQ(ierr);
    ierr = MatGetRowIJ(AA,0,PETSC_FALSE,PETSC_FALSE,&nrows,&ia,&ja,&flg);CHKERRQ(ierr);
    if (flg) {
      ierr = MatSeqAIJGetArray(AA,&array);CHKERRQ(ierr);
      for (i=0; i<ia[nrows]; i++) array[i] = one;
      ierr = MatSeqAIJRestoreArray(AA,&array);CHKERRQ(ierr);
    }
    ierr = MatRestoreRowIJ(AA,0,PETSC_FALSE,PETSC_FALSE,&nrows,&ia,&ja,&flg);CHKERRQ(ierr);
    ierr = MatGetRowIJ(AB,0,PETSC_FALSE,PETSC_FALSE,&nrows,&ia,&ja,&flg);CHKERRQ(ierr);
    if (flg) {
      ierr = MatSeqAIJGetArray(AB,&array);CHKERRQ(ierr);
      for (i=0; i<ia[nrows]; i++) array[i] = one;
      ierr = MatSeqAIJRestoreArray(AB,&array);CHKERRQ(ierr);
    }
    ierr = MatRestoreRowIJ(AB,0,PETSC_FALSE,PETSC_FALSE,&nrows,&ia,&ja,&flg);CHKERRQ(ierr);
  }
  /* ierr = MatView(A, PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr); */

  /* Set up distributed array for coarse grid */
  if (!Test_3D) {
    ierr = DMDACreate2d(PETSC_COMM_WORLD, DM_BOUNDARY_NONE, DM_BOUNDARY_NONE,DMDA_STENCIL_STAR,user.coarse.mx,user.coarse.my,Npx,Npy,1,1,NULL,NULL,&user.coarse.da);CHKERRQ(ierr);
  } else {
    ierr = DMDACreate3d(PETSC_COMM_WORLD,DM_BOUNDARY_NONE,DM_BOUNDARY_NONE,DM_BOUNDARY_NONE,DMDA_STENCIL_STAR,user.coarse.mx,user.coarse.my,user.coarse.mz,Npx,Npy,Npz,
                        1,1,NULL,NULL,NULL,&user.coarse.da);CHKERRQ(ierr);
  }
  ierr = DMSetFromOptions(user.coarse.da);CHKERRQ(ierr);
  ierr = DMSetUp(user.coarse.da);CHKERRQ(ierr);

  /* Create interpolation between the fine and coarse grids */
  ierr = DMCreateInterpolation(user.coarse.da,user.fine.da,&P,NULL);CHKERRQ(ierr);
  ierr = MatGetLocalSize(P,&m,&n);CHKERRQ(ierr);
  ierr = MatGetSize(P,&M,&N);CHKERRQ(ierr);
  /* if (!rank) printf("P %d, %d\n",M,N); */

  /* Create vectors v1 and v2 that are compatible with A */
  ierr = VecCreate(PETSC_COMM_WORLD,&v1);CHKERRQ(ierr);
  ierr = MatGetLocalSize(A,&m,NULL);CHKERRQ(ierr);
  ierr = VecSetSizes(v1,m,PETSC_DECIDE);CHKERRQ(ierr);
  ierr = VecSetFromOptions(v1);CHKERRQ(ierr);
  ierr = VecDuplicate(v1,&v2);CHKERRQ(ierr);
  ierr = PetscRandomCreate(PETSC_COMM_WORLD,&rdm);CHKERRQ(ierr);
  ierr = PetscRandomSetFromOptions(rdm);CHKERRQ(ierr);

  /* Test MatMatMult(): C = A*P */
  /*----------------------------*/
  if (Test_MatMatMult) {
    ierr = MatDuplicate(A,MAT_COPY_VALUES,&A_tmp);CHKERRQ(ierr);
    ierr = MatMatMult(A_tmp,P,MAT_INITIAL_MATRIX,fill,&C);CHKERRQ(ierr);

    /* Test MAT_REUSE_MATRIX - reuse symbolic C */
    alpha=1.0;
    for (i=0; i<2; i++) {
      alpha -= 0.1;
      ierr   = MatScale(A_tmp,alpha);CHKERRQ(ierr);
      ierr   = MatMatMult(A_tmp,P,MAT_REUSE_MATRIX,fill,&C);CHKERRQ(ierr);
    }
    /* Free intermediate data structures created for reuse of C=Pt*A*P */
    ierr = MatFreeIntermediateDataStructures(C);CHKERRQ(ierr);

    /* Test MatDuplicate()        */
    /*----------------------------*/
    ierr = MatDuplicate(C,MAT_COPY_VALUES,&C1);CHKERRQ(ierr);
    ierr = MatDuplicate(C1,MAT_COPY_VALUES,&C2);CHKERRQ(ierr);
    ierr = MatDestroy(&C1);CHKERRQ(ierr);
    ierr = MatDestroy(&C2);CHKERRQ(ierr);

    /* Create vector x that is compatible with P */
    ierr = VecCreate(PETSC_COMM_WORLD,&x);CHKERRQ(ierr);
    ierr = MatGetLocalSize(P,NULL,&n);CHKERRQ(ierr);
    ierr = VecSetSizes(x,n,PETSC_DECIDE);CHKERRQ(ierr);
    ierr = VecSetFromOptions(x);CHKERRQ(ierr);

    norm = 0.0;
    for (i=0; i<10; i++) {
      ierr      = VecSetRandom(x,rdm);CHKERRQ(ierr);
      ierr      = MatMult(P,x,v1);CHKERRQ(ierr);
      ierr      = MatMult(A_tmp,v1,v2);CHKERRQ(ierr); /* v2 = A*P*x */
      ierr      = MatMult(C,x,v1);CHKERRQ(ierr);  /* v1 = C*x   */
      ierr      = VecAXPY(v1,none,v2);CHKERRQ(ierr);
      ierr      = VecNorm(v1,NORM_1,&norm_tmp);CHKERRQ(ierr);
      ierr      = VecNorm(v2,NORM_1,&norm_tmp1);CHKERRQ(ierr);
      norm_tmp /= norm_tmp1;
      if (norm_tmp > norm) norm = norm_tmp;
    }
    if (norm >= tol && !rank) {
      ierr = PetscPrintf(PETSC_COMM_SELF,"Error: MatMatMult(), |v1 - v2|/|v2|: %g\n",(double)norm);CHKERRQ(ierr);
    }

    ierr = VecDestroy(&x);CHKERRQ(ierr);
    ierr = MatDestroy(&C);CHKERRQ(ierr);
    ierr = MatDestroy(&A_tmp);CHKERRQ(ierr);
  }

  /* Test P^T * A * P - MatPtAP() */
  /*------------------------------*/
  if (Test_MatPtAP) {
    ierr = MatPtAP(A,P,MAT_INITIAL_MATRIX,fill,&C);CHKERRQ(ierr);
    ierr = MatGetLocalSize(C,&m,&n);CHKERRQ(ierr);

    /* Test MAT_REUSE_MATRIX - reuse symbolic C */
    alpha=1.0;
    for (i=0; i<1; i++) {
      alpha -= 0.1;
      ierr   = MatScale(A,alpha);CHKERRQ(ierr);
      ierr   = MatPtAP(A,P,MAT_REUSE_MATRIX,fill,&C);CHKERRQ(ierr);
    }

    /* Free intermediate data structures created for reuse of C=Pt*A*P */
    ierr = MatFreeIntermediateDataStructures(C);CHKERRQ(ierr);

    /* Test MatDuplicate()        */
    /*----------------------------*/
    ierr = MatDuplicate(C,MAT_COPY_VALUES,&C1);CHKERRQ(ierr);
    ierr = MatDuplicate(C1,MAT_COPY_VALUES,&C2);CHKERRQ(ierr);
    ierr = MatDestroy(&C1);CHKERRQ(ierr);
    ierr = MatDestroy(&C2);CHKERRQ(ierr);

    /* Create vector x that is compatible with P */
    ierr = VecCreate(PETSC_COMM_WORLD,&x);CHKERRQ(ierr);
    ierr = MatGetLocalSize(P,&m,&n);CHKERRQ(ierr);
    ierr = VecSetSizes(x,n,PETSC_DECIDE);CHKERRQ(ierr);
    ierr = VecSetFromOptions(x);CHKERRQ(ierr);

    ierr = VecCreate(PETSC_COMM_WORLD,&v3);CHKERRQ(ierr);
    ierr = VecSetSizes(v3,n,PETSC_DECIDE);CHKERRQ(ierr);
    ierr = VecSetFromOptions(v3);CHKERRQ(ierr);
    ierr = VecDuplicate(v3,&v4);CHKERRQ(ierr);

    norm = 0.0;
    for (i=0; i<10; i++) {
      ierr = VecSetRandom(x,rdm);CHKERRQ(ierr);
      ierr = MatMult(P,x,v1);CHKERRQ(ierr);
      ierr = MatMult(A,v1,v2);CHKERRQ(ierr);  /* v2 = A*P*x */

      ierr = MatMultTranspose(P,v2,v3);CHKERRQ(ierr); /* v3 = Pt*A*P*x */
      ierr = MatMult(C,x,v4);CHKERRQ(ierr);           /* v3 = C*x   */
      ierr = VecAXPY(v4,none,v3);CHKERRQ(ierr);
      ierr = VecNorm(v4,NORM_1,&norm_tmp);CHKERRQ(ierr);
      ierr = VecNorm(v3,NORM_1,&norm_tmp1);CHKERRQ(ierr);

      norm_tmp /= norm_tmp1;
      if (norm_tmp > norm) norm = norm_tmp;
    }
    if (norm >= tol && !rank) {
      ierr = PetscPrintf(PETSC_COMM_SELF,"Error: MatPtAP(), |v3 - v4|/|v3|: %g\n",(double)norm);CHKERRQ(ierr);
    }
    ierr = MatDestroy(&C);CHKERRQ(ierr);
    ierr = VecDestroy(&v3);CHKERRQ(ierr);
    ierr = VecDestroy(&v4);CHKERRQ(ierr);
    ierr = VecDestroy(&x);CHKERRQ(ierr);
  }

  /* Clean up */
  ierr = MatDestroy(&A);CHKERRQ(ierr);
  ierr = PetscRandomDestroy(&rdm);CHKERRQ(ierr);
  ierr = VecDestroy(&v1);CHKERRQ(ierr);
  ierr = VecDestroy(&v2);CHKERRQ(ierr);
  ierr = DMDestroy(&user.fine.da);CHKERRQ(ierr);
  ierr = DMDestroy(&user.coarse.da);CHKERRQ(ierr);
  ierr = MatDestroy(&P);CHKERRQ(ierr);
  ierr = PetscFinalize();
  return ierr;
}
Ejemplo n.º 9
0
Archivo: ex75.c Proyecto: petsc/petsc
int main(int argc,char **args)
{
    Vec            x,y,u,s1,s2;
    Mat            A,sA,sB;
    PetscRandom    rctx;
    PetscReal      r1,r2,rnorm,tol = PETSC_SQRT_MACHINE_EPSILON;
    PetscScalar    one=1.0, neg_one=-1.0, value[3], four=4.0,alpha=0.1;
    PetscInt       n,col[3],n1,block,row,i,j,i2,j2,Ii,J,rstart,rend,bs=1,mbs=16,d_nz=3,o_nz=3,prob=2;
    PetscErrorCode ierr;
    PetscMPIInt    size,rank;
    PetscBool      flg;
    MatType        type;

    ierr = PetscInitialize(&argc,&args,(char*)0,help);
    if (ierr) return ierr;
    ierr = PetscOptionsGetInt(NULL,NULL,"-mbs",&mbs,NULL);
    CHKERRQ(ierr);
    ierr = PetscOptionsGetInt(NULL,NULL,"-bs",&bs,NULL);
    CHKERRQ(ierr);

    ierr = MPI_Comm_rank(PETSC_COMM_WORLD,&rank);
    CHKERRQ(ierr);
    ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);
    CHKERRQ(ierr);

    n = mbs*bs;

    /* Assemble MPISBAIJ matrix sA */
    ierr = MatCreate(PETSC_COMM_WORLD,&sA);
    CHKERRQ(ierr);
    ierr = MatSetSizes(sA,PETSC_DECIDE,PETSC_DECIDE,n,n);
    CHKERRQ(ierr);
    ierr = MatSetType(sA,MATSBAIJ);
    CHKERRQ(ierr);
    ierr = MatSetFromOptions(sA);
    CHKERRQ(ierr);
    ierr = MatGetType(sA,&type);
    CHKERRQ(ierr);
    ierr = MatMPISBAIJSetPreallocation(sA,bs,d_nz,NULL,o_nz,NULL);
    CHKERRQ(ierr);
    ierr = MatSeqSBAIJSetPreallocation(sA,bs,d_nz,NULL);
    CHKERRQ(ierr);
    ierr = MatSetOption(sA,MAT_NEW_NONZERO_ALLOCATION_ERR,PETSC_FALSE);
    CHKERRQ(ierr);

    if (bs == 1) {
        if (prob == 1) { /* tridiagonal matrix */
            value[0] = -1.0;
            value[1] = 2.0;
            value[2] = -1.0;
            for (i=1; i<n-1; i++) {
                col[0] = i-1;
                col[1] = i;
                col[2] = i+1;
                ierr   = MatSetValues(sA,1,&i,3,col,value,INSERT_VALUES);
                CHKERRQ(ierr);
            }
            i       = n - 1;
            col[0]=0;
            col[1] = n - 2;
            col[2] = n - 1;
            value[0]= 0.1;
            value[1]=-1;
            value[2]=2;
            ierr    = MatSetValues(sA,1,&i,3,col,value,INSERT_VALUES);
            CHKERRQ(ierr);

            i        = 0;
            col[0] = 0;
            col[1] = 1;
            col[2]=n-1;
            value[0] = 2.0;
            value[1] = -1.0;
            value[2]=0.1;
            ierr     = MatSetValues(sA,1,&i,3,col,value,INSERT_VALUES);
            CHKERRQ(ierr);
        } else if (prob ==2) { /* matrix for the five point stencil */
            n1 =  (int) PetscSqrtReal((PetscReal)n);
            if (n1*n1 != n) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"n must be a perfect square of n1");

            for (i=0; i<n1; i++) {
                for (j=0; j<n1; j++) {
                    Ii = j + n1*i;
                    if (i>0)    {
                        J = Ii - n1;
                        ierr = MatSetValues(sA,1,&Ii,1,&J,&neg_one,INSERT_VALUES);
                        CHKERRQ(ierr);
                    }
                    if (i<n1-1) {
                        J = Ii + n1;
                        ierr = MatSetValues(sA,1,&Ii,1,&J,&neg_one,INSERT_VALUES);
                        CHKERRQ(ierr);
                    }
                    if (j>0)    {
                        J = Ii - 1;
                        ierr = MatSetValues(sA,1,&Ii,1,&J,&neg_one,INSERT_VALUES);
                        CHKERRQ(ierr);
                    }
                    if (j<n1-1) {
                        J = Ii + 1;
                        ierr = MatSetValues(sA,1,&Ii,1,&J,&neg_one,INSERT_VALUES);
                        CHKERRQ(ierr);
                    }
                    ierr = MatSetValues(sA,1,&Ii,1,&Ii,&four,INSERT_VALUES);
                    CHKERRQ(ierr);
                }
            }
        }
        /* end of if (bs == 1) */
    } else {  /* bs > 1 */
        for (block=0; block<n/bs; block++) {
            /* diagonal blocks */
            value[0] = -1.0;
            value[1] = 4.0;
            value[2] = -1.0;
            for (i=1+block*bs; i<bs-1+block*bs; i++) {
                col[0] = i-1;
                col[1] = i;
                col[2] = i+1;
                ierr   = MatSetValues(sA,1,&i,3,col,value,INSERT_VALUES);
                CHKERRQ(ierr);
            }
            i       = bs - 1+block*bs;
            col[0] = bs - 2+block*bs;
            col[1] = bs - 1+block*bs;
            value[0]=-1.0;
            value[1]=4.0;
            ierr    = MatSetValues(sA,1,&i,2,col,value,INSERT_VALUES);
            CHKERRQ(ierr);

            i       = 0+block*bs;
            col[0] = 0+block*bs;
            col[1] = 1+block*bs;
            value[0]=4.0;
            value[1] = -1.0;
            ierr    = MatSetValues(sA,1,&i,2,col,value,INSERT_VALUES);
            CHKERRQ(ierr);
        }
        /* off-diagonal blocks */
        value[0]=-1.0;
        for (i=0; i<(n/bs-1)*bs; i++) {
            col[0]=i+bs;
            ierr  = MatSetValues(sA,1,&i,1,col,value,INSERT_VALUES);
            CHKERRQ(ierr);
            col[0]=i;
            row=i+bs;
            ierr  = MatSetValues(sA,1,&row,1,col,value,INSERT_VALUES);
            CHKERRQ(ierr);
        }
    }
    ierr = MatAssemblyBegin(sA,MAT_FINAL_ASSEMBLY);
    CHKERRQ(ierr);
    ierr = MatAssemblyEnd(sA,MAT_FINAL_ASSEMBLY);
    CHKERRQ(ierr);

    /* Test MatView() */
    ierr = MatCreateBAIJ(PETSC_COMM_WORLD,bs,PETSC_DECIDE,PETSC_DECIDE,n,n,d_nz,NULL,o_nz,NULL,&A);
    CHKERRQ(ierr);
    ierr = MatSetOption(A,MAT_NEW_NONZERO_ALLOCATION_ERR,PETSC_FALSE);
    CHKERRQ(ierr);

    if (bs == 1) {
        if (prob == 1) { /* tridiagonal matrix */
            value[0] = -1.0;
            value[1] = 2.0;
            value[2] = -1.0;
            for (i=1; i<n-1; i++) {
                col[0] = i-1;
                col[1] = i;
                col[2] = i+1;
                ierr   = MatSetValues(A,1,&i,3,col,value,INSERT_VALUES);
                CHKERRQ(ierr);
            }
            i       = n - 1;
            col[0]=0;
            col[1] = n - 2;
            col[2] = n - 1;
            value[0]= 0.1;
            value[1]=-1;
            value[2]=2;
            ierr    = MatSetValues(A,1,&i,3,col,value,INSERT_VALUES);
            CHKERRQ(ierr);

            i        = 0;
            col[0] = 0;
            col[1] = 1;
            col[2]=n-1;
            value[0] = 2.0;
            value[1] = -1.0;
            value[2]=0.1;
            ierr     = MatSetValues(A,1,&i,3,col,value,INSERT_VALUES);
            CHKERRQ(ierr);
        } else if (prob ==2) { /* matrix for the five point stencil */
            n1 = (int) PetscSqrtReal((PetscReal)n);
            for (i=0; i<n1; i++) {
                for (j=0; j<n1; j++) {
                    Ii = j + n1*i;
                    if (i>0)    {
                        J = Ii - n1;
                        ierr = MatSetValues(A,1,&Ii,1,&J,&neg_one,INSERT_VALUES);
                        CHKERRQ(ierr);
                    }
                    if (i<n1-1) {
                        J = Ii + n1;
                        ierr = MatSetValues(A,1,&Ii,1,&J,&neg_one,INSERT_VALUES);
                        CHKERRQ(ierr);
                    }
                    if (j>0)    {
                        J = Ii - 1;
                        ierr = MatSetValues(A,1,&Ii,1,&J,&neg_one,INSERT_VALUES);
                        CHKERRQ(ierr);
                    }
                    if (j<n1-1) {
                        J = Ii + 1;
                        ierr = MatSetValues(A,1,&Ii,1,&J,&neg_one,INSERT_VALUES);
                        CHKERRQ(ierr);
                    }
                    ierr = MatSetValues(A,1,&Ii,1,&Ii,&four,INSERT_VALUES);
                    CHKERRQ(ierr);
                }
            }
        }
        /* end of if (bs == 1) */
    } else {  /* bs > 1 */
        for (block=0; block<n/bs; block++) {
            /* diagonal blocks */
            value[0] = -1.0;
            value[1] = 4.0;
            value[2] = -1.0;
            for (i=1+block*bs; i<bs-1+block*bs; i++) {
                col[0] = i-1;
                col[1] = i;
                col[2] = i+1;
                ierr   = MatSetValues(A,1,&i,3,col,value,INSERT_VALUES);
                CHKERRQ(ierr);
            }
            i       = bs - 1+block*bs;
            col[0] = bs - 2+block*bs;
            col[1] = bs - 1+block*bs;
            value[0]=-1.0;
            value[1]=4.0;
            ierr    = MatSetValues(A,1,&i,2,col,value,INSERT_VALUES);
            CHKERRQ(ierr);

            i       = 0+block*bs;
            col[0] = 0+block*bs;
            col[1] = 1+block*bs;
            value[0]=4.0;
            value[1] = -1.0;
            ierr    = MatSetValues(A,1,&i,2,col,value,INSERT_VALUES);
            CHKERRQ(ierr);
        }
        /* off-diagonal blocks */
        value[0]=-1.0;
        for (i=0; i<(n/bs-1)*bs; i++) {
            col[0]=i+bs;
            ierr  = MatSetValues(A,1,&i,1,col,value,INSERT_VALUES);
            CHKERRQ(ierr);
            col[0]=i;
            row=i+bs;
            ierr  = MatSetValues(A,1,&row,1,col,value,INSERT_VALUES);
            CHKERRQ(ierr);
        }
    }
    ierr = MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);
    CHKERRQ(ierr);
    ierr = MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);
    CHKERRQ(ierr);

    /* Test MatGetSize(), MatGetLocalSize() */
    ierr = MatGetSize(sA, &i,&j);
    CHKERRQ(ierr);
    ierr = MatGetSize(A, &i2,&j2);
    CHKERRQ(ierr);
    i   -= i2;
    j -= j2;
    if (i || j) {
        ierr = PetscSynchronizedPrintf(PETSC_COMM_WORLD,"[%d], Error: MatGetSize()\n",rank);
        CHKERRQ(ierr);
        ierr = PetscSynchronizedFlush(PETSC_COMM_WORLD,PETSC_STDOUT);
        CHKERRQ(ierr);
    }

    ierr = MatGetLocalSize(sA, &i,&j);
    CHKERRQ(ierr);
    ierr = MatGetLocalSize(A, &i2,&j2);
    CHKERRQ(ierr);
    i2  -= i;
    j2 -= j;
    if (i2 || j2) {
        ierr = PetscSynchronizedPrintf(PETSC_COMM_WORLD,"[%d], Error: MatGetLocalSize()\n",rank);
        CHKERRQ(ierr);
        ierr = PetscSynchronizedFlush(PETSC_COMM_WORLD,PETSC_STDOUT);
        CHKERRQ(ierr);
    }

    /* vectors */
    /*--------------------*/
    /* i is obtained from MatGetLocalSize() */
    ierr = VecCreate(PETSC_COMM_WORLD,&x);
    CHKERRQ(ierr);
    ierr = VecSetSizes(x,i,PETSC_DECIDE);
    CHKERRQ(ierr);
    ierr = VecSetFromOptions(x);
    CHKERRQ(ierr);
    ierr = VecDuplicate(x,&y);
    CHKERRQ(ierr);
    ierr = VecDuplicate(x,&u);
    CHKERRQ(ierr);
    ierr = VecDuplicate(x,&s1);
    CHKERRQ(ierr);
    ierr = VecDuplicate(x,&s2);
    CHKERRQ(ierr);

    ierr = PetscRandomCreate(PETSC_COMM_WORLD,&rctx);
    CHKERRQ(ierr);
    ierr = PetscRandomSetFromOptions(rctx);
    CHKERRQ(ierr);
    ierr = VecSetRandom(x,rctx);
    CHKERRQ(ierr);
    ierr = VecSet(u,one);
    CHKERRQ(ierr);

    /* Test MatNorm() */
    ierr  = MatNorm(A,NORM_FROBENIUS,&r1);
    CHKERRQ(ierr);
    ierr  = MatNorm(sA,NORM_FROBENIUS,&r2);
    CHKERRQ(ierr);
    rnorm = PetscAbsReal(r1-r2)/r2;
    if (rnorm > tol && !rank) {
        ierr = PetscPrintf(PETSC_COMM_SELF,"Error: MatNorm_FROBENIUS(), Anorm=%16.14e, sAnorm=%16.14e bs=%D\n",r1,r2,bs);
        CHKERRQ(ierr);
    }
    ierr  = MatNorm(A,NORM_INFINITY,&r1);
    CHKERRQ(ierr);
    ierr  = MatNorm(sA,NORM_INFINITY,&r2);
    CHKERRQ(ierr);
    rnorm = PetscAbsReal(r1-r2)/r2;
    if (rnorm > tol && !rank) {
        ierr = PetscPrintf(PETSC_COMM_WORLD,"Error: MatNorm_INFINITY(), Anorm=%16.14e, sAnorm=%16.14e bs=%D\n",r1,r2,bs);
        CHKERRQ(ierr);
    }
    ierr  = MatNorm(A,NORM_1,&r1);
    CHKERRQ(ierr);
    ierr  = MatNorm(sA,NORM_1,&r2);
    CHKERRQ(ierr);
    rnorm = PetscAbsReal(r1-r2)/r2;
    if (rnorm > tol && !rank) {
        ierr = PetscPrintf(PETSC_COMM_WORLD,"Error: MatNorm_1(), Anorm=%16.14e, sAnorm=%16.14e bs=%D\n",r1,r2,bs);
        CHKERRQ(ierr);
    }

    /* Test MatGetOwnershipRange() */
    ierr = MatGetOwnershipRange(sA,&rstart,&rend);
    CHKERRQ(ierr);
    ierr = MatGetOwnershipRange(A,&i2,&j2);
    CHKERRQ(ierr);
    i2  -= rstart;
    j2 -= rend;
    if (i2 || j2) {
        ierr = PetscSynchronizedPrintf(PETSC_COMM_WORLD,"[%d], Error: MaGetOwnershipRange()\n",rank);
        CHKERRQ(ierr);
        ierr = PetscSynchronizedFlush(PETSC_COMM_WORLD,PETSC_STDOUT);
        CHKERRQ(ierr);
    }

    /* Test MatDiagonalScale() */
    ierr = MatDiagonalScale(A,x,x);
    CHKERRQ(ierr);
    ierr = MatDiagonalScale(sA,x,x);
    CHKERRQ(ierr);
    ierr = MatMultEqual(A,sA,10,&flg);
    CHKERRQ(ierr);
    if (!flg) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_NOTSAMETYPE,"Error in MatDiagonalScale");

    /* Test MatGetDiagonal(), MatScale() */
    ierr = MatGetDiagonal(A,s1);
    CHKERRQ(ierr);
    ierr = MatGetDiagonal(sA,s2);
    CHKERRQ(ierr);
    ierr = VecNorm(s1,NORM_1,&r1);
    CHKERRQ(ierr);
    ierr = VecNorm(s2,NORM_1,&r2);
    CHKERRQ(ierr);
    r1  -= r2;
    if (r1<-tol || r1>tol) {
        ierr = PetscSynchronizedPrintf(PETSC_COMM_WORLD,"[%d], Error: MatDiagonalScale() or MatGetDiagonal(), r1=%g \n",rank,(double)r1);
        CHKERRQ(ierr);
        ierr = PetscSynchronizedFlush(PETSC_COMM_WORLD,PETSC_STDOUT);
        CHKERRQ(ierr);
    }

    ierr = MatScale(A,alpha);
    CHKERRQ(ierr);
    ierr = MatScale(sA,alpha);
    CHKERRQ(ierr);

    /* Test MatGetRowMaxAbs() */
    ierr = MatGetRowMaxAbs(A,s1,NULL);
    CHKERRQ(ierr);
    ierr = MatGetRowMaxAbs(sA,s2,NULL);
    CHKERRQ(ierr);

    ierr = VecNorm(s1,NORM_1,&r1);
    CHKERRQ(ierr);
    ierr = VecNorm(s2,NORM_1,&r2);
    CHKERRQ(ierr);
    r1  -= r2;
    if (r1<-tol || r1>tol) {
        ierr = PetscPrintf(PETSC_COMM_SELF,"Error: MatGetRowMaxAbs() \n");
        CHKERRQ(ierr);
    }

    /* Test MatMult(), MatMultAdd() */
    ierr = MatMultEqual(A,sA,10,&flg);
    CHKERRQ(ierr);
    if (!flg) {
        ierr = PetscSynchronizedPrintf(PETSC_COMM_WORLD,"[%d], Error: MatMult() or MatScale()\n",rank);
        CHKERRQ(ierr);
        ierr = PetscSynchronizedFlush(PETSC_COMM_WORLD,PETSC_STDOUT);
        CHKERRQ(ierr);
    }

    ierr = MatMultAddEqual(A,sA,10,&flg);
    CHKERRQ(ierr);
    if (!flg) {
        ierr = PetscSynchronizedPrintf(PETSC_COMM_WORLD,"[%d], Error: MatMultAdd()\n",rank);
        CHKERRQ(ierr);
        ierr = PetscSynchronizedFlush(PETSC_COMM_WORLD,PETSC_STDOUT);
        CHKERRQ(ierr);
    }

    /* Test MatMultTranspose(), MatMultTransposeAdd() */
    for (i=0; i<10; i++) {
        ierr = VecSetRandom(x,rctx);
        CHKERRQ(ierr);
        ierr = MatMultTranspose(A,x,s1);
        CHKERRQ(ierr);
        ierr = MatMultTranspose(sA,x,s2);
        CHKERRQ(ierr);
        ierr = VecNorm(s1,NORM_1,&r1);
        CHKERRQ(ierr);
        ierr = VecNorm(s2,NORM_1,&r2);
        CHKERRQ(ierr);
        r1  -= r2;
        if (r1<-tol || r1>tol) {
            ierr = PetscSynchronizedPrintf(PETSC_COMM_WORLD,"[%d], Error: MatMult() or MatScale(), err=%g\n",rank,(double)r1);
            CHKERRQ(ierr);
            ierr = PetscSynchronizedFlush(PETSC_COMM_WORLD,PETSC_STDOUT);
            CHKERRQ(ierr);
        }
    }
    for (i=0; i<10; i++) {
        ierr = VecSetRandom(x,rctx);
        CHKERRQ(ierr);
        ierr = VecSetRandom(y,rctx);
        CHKERRQ(ierr);
        ierr = MatMultTransposeAdd(A,x,y,s1);
        CHKERRQ(ierr);
        ierr = MatMultTransposeAdd(sA,x,y,s2);
        CHKERRQ(ierr);
        ierr = VecNorm(s1,NORM_1,&r1);
        CHKERRQ(ierr);
        ierr = VecNorm(s2,NORM_1,&r2);
        CHKERRQ(ierr);
        r1  -= r2;
        if (r1<-tol || r1>tol) {
            ierr = PetscSynchronizedPrintf(PETSC_COMM_WORLD,"[%d], Error: MatMultAdd(), err=%g \n",rank,(double)r1);
            CHKERRQ(ierr);
            ierr = PetscSynchronizedFlush(PETSC_COMM_WORLD,PETSC_STDOUT);
            CHKERRQ(ierr);
        }
    }

    /* Test MatDuplicate() */
    ierr = MatDuplicate(sA,MAT_COPY_VALUES,&sB);
    CHKERRQ(ierr);
    ierr = MatEqual(sA,sB,&flg);
    CHKERRQ(ierr);
    if (!flg) {
        ierr = PetscPrintf(PETSC_COMM_WORLD," Error in MatDuplicate(), sA != sB \n");
        CHKERRQ(ierr);
        CHKERRQ(ierr);
    }
    ierr = MatMultEqual(sA,sB,5,&flg);
    CHKERRQ(ierr);
    if (!flg) {
        ierr = PetscSynchronizedPrintf(PETSC_COMM_WORLD,"[%d], Error: MatDuplicate() or MatMult()\n",rank);
        CHKERRQ(ierr);
        ierr = PetscSynchronizedFlush(PETSC_COMM_WORLD,PETSC_STDOUT);
        CHKERRQ(ierr);
    }
    ierr = MatMultAddEqual(sA,sB,5,&flg);
    CHKERRQ(ierr);
    if (!flg) {
        ierr = PetscSynchronizedPrintf(PETSC_COMM_WORLD,"[%d], Error: MatDuplicate() or MatMultAdd(()\n",rank);
        CHKERRQ(ierr);
        ierr = PetscSynchronizedFlush(PETSC_COMM_WORLD,PETSC_STDOUT);
        CHKERRQ(ierr);
    }
    ierr = MatDestroy(&sB);
    CHKERRQ(ierr);
    ierr = VecDestroy(&u);
    CHKERRQ(ierr);
    ierr = VecDestroy(&x);
    CHKERRQ(ierr);
    ierr = VecDestroy(&y);
    CHKERRQ(ierr);
    ierr = VecDestroy(&s1);
    CHKERRQ(ierr);
    ierr = VecDestroy(&s2);
    CHKERRQ(ierr);
    ierr = MatDestroy(&sA);
    CHKERRQ(ierr);
    ierr = MatDestroy(&A);
    CHKERRQ(ierr);
    ierr = PetscRandomDestroy(&rctx);
    CHKERRQ(ierr);

    ierr = PetscFinalize();
    return ierr;
}
Ejemplo n.º 10
0
int main(int argc,char **args)
{
  Mat            A,C,Bdense,Cdense;
  PetscErrorCode ierr;
  PetscViewer    fd;              /* viewer */
  char           file[PETSC_MAX_PATH_LEN]; /* input file name */
  PetscBool      flg,viewmats=PETSC_FALSE;
  PetscMPIInt    rank,size;
  PetscReal      fill=1.0;
  PetscInt       m,n,i,j,BN=10,rstart,rend,*rows,*cols;
  PetscScalar    *Barray,*Carray,rval,*array;
  Vec            x,y;
  PetscRandom    rand;

  PetscInitialize(&argc,&args,(char*)0,help);
  ierr = MPI_Comm_rank(PETSC_COMM_WORLD,&rank);CHKERRQ(ierr);

  /* Determine file from which we read the matrix A */
  ierr = PetscOptionsGetString(NULL,"-f",file,PETSC_MAX_PATH_LEN,&flg);CHKERRQ(ierr);
  if (!flg) SETERRQ(PETSC_COMM_WORLD,1,"Must indicate binary file with the -f option");

  /* Load matrix A */
  ierr = PetscViewerBinaryOpen(PETSC_COMM_WORLD,file,FILE_MODE_READ,&fd);CHKERRQ(ierr);
  ierr = MatCreate(PETSC_COMM_WORLD,&A);CHKERRQ(ierr);
  ierr = MatLoad(A,fd);CHKERRQ(ierr);
  ierr = PetscViewerDestroy(&fd);CHKERRQ(ierr);

  /* Print (for testing only) */
  ierr = PetscOptionsHasName(NULL, "-view_mats", &viewmats);CHKERRQ(ierr);
  if (viewmats) {
    if (!rank) printf("A_aij:\n");
    ierr = MatView(A,0);CHKERRQ(ierr);
  }

  /* Test MatTransposeMatMult_aij_aij() */
  ierr = MatTransposeMatMult(A,A,MAT_INITIAL_MATRIX,fill,&C);CHKERRQ(ierr);
  if (viewmats) {
    if (!rank) printf("\nC = A_aij^T * A_aij:\n");
    ierr = MatView(C,0);CHKERRQ(ierr);
  }
  ierr = MatDestroy(&C);CHKERRQ(ierr);
  ierr = MatGetLocalSize(A,&m,&n);CHKERRQ(ierr);
  
  /* create a dense matrix Bdense */
  ierr = MatCreate(PETSC_COMM_WORLD,&Bdense);CHKERRQ(ierr);
  ierr = MatSetSizes(Bdense,m,PETSC_DECIDE,PETSC_DECIDE,BN);CHKERRQ(ierr);
  ierr = MatSetType(Bdense,MATDENSE);CHKERRQ(ierr);
  ierr = MatSetFromOptions(Bdense);CHKERRQ(ierr);
  ierr = MatSetUp(Bdense);CHKERRQ(ierr);
  ierr = MatGetOwnershipRange(Bdense,&rstart,&rend);CHKERRQ(ierr);
  //printf("[%d] rstart/end %d %d; local size %d %d\n",rank,rstart,rend,m,n);

  ierr = PetscMalloc3(m,PetscInt,&rows,BN,PetscInt,&cols,m*BN,PetscScalar,&array);CHKERRQ(ierr);
  for (i=0; i<m; i++) rows[i] = rstart + i;
  ierr = PetscRandomCreate(PETSC_COMM_WORLD,&rand);CHKERRQ(ierr);
  ierr = PetscRandomSetFromOptions(rand);CHKERRQ(ierr);
  for (j=0; j<BN; j++) {
    cols[j] = j;
    for (i=0; i<m; i++) {
      ierr = PetscRandomGetValue(rand,&rval);CHKERRQ(ierr);
      array[m*j+i] = rval;
    }
  }
  ierr = MatSetValues(Bdense,m,rows,BN,cols,array,INSERT_VALUES);CHKERRQ(ierr);
  ierr = MatAssemblyBegin(Bdense,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(Bdense,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = PetscRandomDestroy(&rand);CHKERRQ(ierr);
  ierr = PetscFree3(rows,cols,array);CHKERRQ(ierr);
  if (viewmats) {
    if (!rank) printf("\nBdense:\n");
    ierr = MatView(Bdense,0);CHKERRQ(ierr);
  }

  /* Test MatTransposeMatMult_aij_dense() */
  ierr = MatTransposeMatMult(A,Bdense,MAT_INITIAL_MATRIX,fill,&C);CHKERRQ(ierr);
  ierr = MatTransposeMatMult(A,Bdense,MAT_REUSE_MATRIX,fill,&C);CHKERRQ(ierr);
  if (viewmats) {
    if (!rank) printf("\nC=A^T*Bdense:\n");
    ierr = MatView(C,0);CHKERRQ(ierr);
  }

  /* Check accuracy */
  ierr = MatCreate(PETSC_COMM_WORLD,&Cdense);CHKERRQ(ierr);
  ierr = MatSetSizes(Cdense,n,PETSC_DECIDE,PETSC_DECIDE,BN);CHKERRQ(ierr);
  ierr = MatSetType(Cdense,MATDENSE);CHKERRQ(ierr);
  ierr = MatSetFromOptions(Cdense);CHKERRQ(ierr);
  ierr = MatSetUp(Cdense);CHKERRQ(ierr);
  ierr = MatAssemblyBegin(Cdense,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(Cdense,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);

  ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRQ(ierr);
  if (size == 1) {
    ierr = VecCreateSeqWithArray(PETSC_COMM_SELF,1,m,NULL,&x);CHKERRQ(ierr);
    ierr = VecCreateSeqWithArray(PETSC_COMM_SELF,1,n,NULL,&y);CHKERRQ(ierr);
  } else {
    ierr = VecCreateMPIWithArray(PETSC_COMM_WORLD,1,m,PETSC_DECIDE,NULL,&x);CHKERRQ(ierr);
    ierr = VecCreateMPIWithArray(PETSC_COMM_WORLD,1,n,PETSC_DECIDE,NULL,&y);CHKERRQ(ierr);
  }

  /* Cdense[:,j] = A^T * Bdense[:,j] */
  ierr = MatDenseGetArray(Bdense,&Barray);CHKERRQ(ierr);
  ierr = MatDenseGetArray(Cdense,&Carray);CHKERRQ(ierr);
  for (j=0; j<BN; j++) {
    ierr = VecPlaceArray(x,Barray);CHKERRQ(ierr);
    ierr = VecPlaceArray(y,Carray);CHKERRQ(ierr);

    ierr = MatMultTranspose(A,x,y);CHKERRQ(ierr);
    
    ierr = VecResetArray(x);CHKERRQ(ierr);
    ierr = VecResetArray(y);CHKERRQ(ierr);
    Barray += m;
    Carray += n;
  }
  ierr = MatDenseRestoreArray(Bdense,&Barray);CHKERRQ(ierr);
  ierr = MatDenseRestoreArray(Cdense,&Carray);CHKERRQ(ierr);
  if (viewmats) {
    if (!rank) printf("\nCdense:\n");
    ierr = MatView(Cdense,0);CHKERRQ(ierr);
  }

  ierr = MatEqual(C,Cdense,&flg);CHKERRQ(ierr);
  if (!flg) {
    if (!rank) printf(" C != Cdense\n");
  }

  /* Free data structures */
  ierr = MatDestroy(&A);CHKERRQ(ierr);
  ierr = MatDestroy(&C);CHKERRQ(ierr);
  ierr = MatDestroy(&Bdense);CHKERRQ(ierr);
  ierr = MatDestroy(&Cdense);CHKERRQ(ierr);
  ierr = VecDestroy(&x);CHKERRQ(ierr);
  ierr = VecDestroy(&y);CHKERRQ(ierr);
  ierr = PetscFinalize();
  return 0;
}
Ejemplo n.º 11
0
Archivo: ex55.c Proyecto: Kun-Qu/petsc
int main(int argc,char **args)
{
  Mat            C,A,B,D; 
  PetscErrorCode ierr;
  PetscInt       i,j,ntypes,bs,mbs,m,block,d_nz=6, o_nz=3,col[3],row,verbose=0;
  PetscMPIInt    size,rank;
  const MatType  type[9]; 
  char           file[PETSC_MAX_PATH_LEN];
  PetscViewer    fd;
  PetscBool      equal,flg_loadmat,flg;
  PetscScalar    value[3];

  PetscInitialize(&argc,&args,(char *)0,help);
  ierr = PetscOptionsGetInt(PETSC_NULL,"-verbose",&verbose,PETSC_NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetString(PETSC_NULL,"-f",file,PETSC_MAX_PATH_LEN,&flg_loadmat);CHKERRQ(ierr);
  ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRQ(ierr);
  ierr = MPI_Comm_rank(PETSC_COMM_WORLD,&rank);CHKERRQ(ierr);

  ierr = PetscOptionsHasName(PETSC_NULL,"-testseqaij",&flg);CHKERRQ(ierr);
  if (flg){
    if (size == 1){
      type[0] = MATSEQAIJ;
    } else {
      type[0] = MATMPIAIJ;
    }
  } else {
    type[0] = MATAIJ;
  }
  if (size == 1){ 
    ntypes = 3; 
    type[1] = MATSEQBAIJ;
    type[2] = MATSEQSBAIJ;
  } else {
    ntypes = 3; 
    type[1] = MATMPIBAIJ;
    type[2] = MATMPISBAIJ;
  }

  /* input matrix C */
  if (flg_loadmat){
    /* Open binary file. */
    ierr = PetscViewerBinaryOpen(PETSC_COMM_WORLD,file,FILE_MODE_READ,&fd);CHKERRQ(ierr);

    /* Load a baij matrix, then destroy the viewer. */
    ierr = MatCreate(PETSC_COMM_WORLD,&C);CHKERRQ(ierr);
    if (size == 1){
      ierr = MatSetType(C,MATSEQBAIJ);CHKERRQ(ierr);
    } else {
      ierr = MatSetType(C,MATMPIBAIJ);CHKERRQ(ierr);
    }
    ierr = MatLoad(C,fd);CHKERRQ(ierr);
    ierr = PetscViewerDestroy(&fd);CHKERRQ(ierr);
  } else { /* Create a baij mat with bs>1  */
    bs = 2; mbs=8;
    ierr = PetscOptionsGetInt(PETSC_NULL,"-mbs",&mbs,PETSC_NULL);CHKERRQ(ierr);
    ierr = PetscOptionsGetInt(PETSC_NULL,"-bs",&bs,PETSC_NULL);CHKERRQ(ierr);
    if (bs <= 1) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONG," bs must be >1 in this case");
    m = mbs*bs;
    ierr = MatCreateBAIJ(PETSC_COMM_WORLD,bs,PETSC_DECIDE,PETSC_DECIDE,m,m,d_nz,PETSC_NULL,o_nz,PETSC_NULL,&C);CHKERRQ(ierr); 
    for (block=0; block<mbs; block++){
      /* diagonal blocks */
      value[0] = -1.0; value[1] = 4.0; value[2] = -1.0;
      for (i=1+block*bs; i<bs-1+block*bs; i++) {
        col[0] = i-1; col[1] = i; col[2] = i+1;
        ierr = MatSetValues(C,1,&i,3,col,value,INSERT_VALUES);CHKERRQ(ierr);    
      }
      i = bs - 1+block*bs; col[0] = bs - 2+block*bs; col[1] = bs - 1+block*bs;
      value[0]=-1.0; value[1]=4.0;  
      ierr = MatSetValues(C,1,&i,2,col,value,INSERT_VALUES);CHKERRQ(ierr); 

      i = 0+block*bs; col[0] = 0+block*bs; col[1] = 1+block*bs; 
      value[0]=4.0; value[1] = -1.0; 
      ierr = MatSetValues(C,1,&i,2,col,value,INSERT_VALUES);CHKERRQ(ierr);  
    }
    /* off-diagonal blocks */
    value[0]=-1.0;
    for (i=0; i<(mbs-1)*bs; i++){
      col[0]=i+bs;
      ierr = MatSetValues(C,1,&i,1,col,value,INSERT_VALUES);CHKERRQ(ierr);
      col[0]=i; row=i+bs;
      ierr = MatSetValues(C,1,&row,1,col,value,INSERT_VALUES);CHKERRQ(ierr);
    }
    ierr = MatAssemblyBegin(C,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
    ierr = MatAssemblyEnd(C,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  }

  {
    /* Check the symmetry of C because it will be converted to a sbaij matrix */
    Mat Ctrans;
    ierr = MatTranspose(C, MAT_INITIAL_MATRIX,&Ctrans);
    ierr = MatEqual(C, Ctrans, &flg);CHKERRQ(ierr);
    if (flg) {
      ierr = MatSetOption(C,MAT_SYMMETRIC,PETSC_TRUE);CHKERRQ(ierr);
    } else {
      SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"C must be symmetric for this example");
    }
    ierr = MatDestroy(&Ctrans);CHKERRQ(ierr);
  }
  //ierr = MatView(C,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
 
  /* convert C to other formats */
  for (i=0; i<ntypes; i++) {
    ierr = MatConvert(C,type[i],MAT_INITIAL_MATRIX,&A);CHKERRQ(ierr);
    ierr = MatMultEqual(A,C,10,&equal);CHKERRQ(ierr);
    if (!equal) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_NOTSAMETYPE,"Error in conversion from BAIJ to %s",type[i]);
    for (j=i+1; j<ntypes; j++) { 
      if (verbose>0) {
        ierr = PetscPrintf(PETSC_COMM_WORLD," \n[%d] test conversion between %s and %s\n",rank,type[i],type[j]);CHKERRQ(ierr);
      }
      
      if (!rank && verbose) printf("Convert %s A to %s B\n",type[i],type[j]);
      ierr = MatConvert(A,type[j],MAT_INITIAL_MATRIX,&B);CHKERRQ(ierr);
      /*
      if (j == 2){
        ierr = PetscPrintf(PETSC_COMM_SELF," A: %s\n",type[i]);CHKERRQ(ierr);
        ierr = MatView(A,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
        ierr = PetscPrintf(PETSC_COMM_SELF," B: %s\n",type[j]);CHKERRQ(ierr);
        ierr = MatView(B,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
      }
       */
      ierr = MatMultEqual(A,B,10,&equal);CHKERRQ(ierr);
      if (!equal) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_NOTSAMETYPE,"Error in conversion from %s to %s",type[i],type[j]);

      if (size == 1 || j != 2){ /* Matconvert from mpisbaij mat to other formats are not supported */
        if (!rank && verbose) printf("Convert %s B to %s D\n",type[j],type[i]);
        ierr = MatConvert(B,type[i],MAT_INITIAL_MATRIX,&D);CHKERRQ(ierr); 
        ierr = MatMultEqual(B,D,10,&equal);CHKERRQ(ierr);
        if (!equal) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_NOTSAMETYPE,"Error in conversion from %s to %s",type[j],type[i]);

        ierr = MatDestroy(&D);CHKERRQ(ierr);
      }
      ierr = MatDestroy(&B);CHKERRQ(ierr);
      ierr = MatDestroy(&D);CHKERRQ(ierr);
    }

    /* Test in-place convert */
    if (size == 1){ /* size > 1 is not working yet! */
      j = (i+1)%ntypes;
      /* printf("[%d] i: %d, j: %d\n",rank,i,j); */
      ierr = MatConvert(A,type[j],MAT_REUSE_MATRIX,&A);CHKERRQ(ierr);
    }

    ierr = MatDestroy(&A);CHKERRQ(ierr);
  }
  ierr = MatDestroy(&C);CHKERRQ(ierr);

  ierr = PetscFinalize();
  return 0;
}
Ejemplo n.º 12
0
int main(int argc,char **argv) 
{
  Mat            A,B,C,D;
  PetscInt       i,j,k,M=10,N=5;
  PetscScalar    *array,*a;
  PetscErrorCode ierr;
  PetscRandom    r;
  PetscTruth     equal=PETSC_FALSE;
  PetscReal      fill = 1.0;
  PetscInt       rstart,rend,nza,col,am,an,bm,bn;

  PetscInitialize(&argc,&argv,(char *)0,help);
  ierr = PetscOptionsGetInt(PETSC_NULL,"-M",&M,PETSC_NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetInt(PETSC_NULL,"-N",&N,PETSC_NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetReal(PETSC_NULL,"-fill",&fill,PETSC_NULL);CHKERRQ(ierr);

  ierr = PetscRandomCreate(PETSC_COMM_WORLD,&r);CHKERRQ(ierr);
  ierr = PetscRandomSetFromOptions(r);CHKERRQ(ierr);

  /* create a aij matrix A */
  ierr = MatCreate(PETSC_COMM_WORLD,&A);CHKERRQ(ierr);
  ierr = MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,N,M);CHKERRQ(ierr);
  ierr = MatSetType(A,MATAIJ);CHKERRQ(ierr);
  nza  = (PetscInt)(.3*M); /* num of nozeros in each row of A */
  ierr = MatSeqAIJSetPreallocation(A,nza,PETSC_NULL);CHKERRQ(ierr);
  ierr = MatMPIAIJSetPreallocation(A,nza,PETSC_NULL,nza,PETSC_NULL);CHKERRQ(ierr);  
  ierr = MatGetOwnershipRange(A,&rstart,&rend);CHKERRQ(ierr);
  ierr = PetscMalloc((nza+1)*sizeof(PetscScalar),&a);CHKERRQ(ierr);
  for (i=rstart; i<rend; i++) { 
    for (j=0; j<nza; j++) {
      ierr  = PetscRandomGetValue(r,&a[j]);CHKERRQ(ierr);
      col   = (PetscInt)(M*PetscRealPart(a[j]));
      ierr  = MatSetValues(A,1,&i,1,&col,&a[j],ADD_VALUES);CHKERRQ(ierr);
    }
  }
  ierr = MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);

  /* create a dense matrix B */
  ierr = MatGetLocalSize(A,&am,&an);CHKERRQ(ierr);
  ierr = MatCreate(PETSC_COMM_WORLD,&B);CHKERRQ(ierr);
  ierr = MatSetSizes(B,PETSC_DECIDE,am,N,PETSC_DECIDE);CHKERRQ(ierr);
  ierr = MatSetType(B,MATDENSE);CHKERRQ(ierr);
  ierr = MatSeqDenseSetPreallocation(B,PETSC_NULL);CHKERRQ(ierr);
  ierr = MatMPIDenseSetPreallocation(B,PETSC_NULL);CHKERRQ(ierr);
  ierr = MatGetLocalSize(B,&bm,&bn);CHKERRQ(ierr);
  ierr = MatGetArray(B,&array);CHKERRQ(ierr);
  k = 0;
  for (j=0; j<N; j++){ /* local column-wise entries */
    for (i=0; i<bm; i++){
      ierr = PetscRandomGetValue(r,&array[k++]);CHKERRQ(ierr); 
    }
  }
  ierr = MatRestoreArray(B,&array);CHKERRQ(ierr);
  ierr = PetscRandomDestroy(r);CHKERRQ(ierr);
  ierr = MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);


  /* Test MatMatMult() */
  ierr = MatMatMult(B,A,MAT_INITIAL_MATRIX,fill,&C);CHKERRQ(ierr);

  /*
  ierr = PetscViewerSetFormat(PETSC_VIEWER_STDOUT_WORLD,PETSC_VIEWER_ASCII_MATLAB);
  ierr = MatView(C,0);CHKERRQ(ierr);
  ierr = MatView(B,0);CHKERRQ(ierr);
  ierr = MatView(A,0);CHKERRQ(ierr);
  */
  

  ierr = MatMatMultSymbolic(B,A,fill,&D);CHKERRQ(ierr);
  for (i=0; i<2; i++){    
    ierr = MatMatMultNumeric(B,A,D);CHKERRQ(ierr);
  }  
  ierr = MatEqual(C,D,&equal);CHKERRQ(ierr);
  if (!equal) SETERRQ(PETSC_ERR_ARG_WRONGSTATE,"C != D");

  ierr = MatDestroy(D);CHKERRQ(ierr); 
  ierr = MatDestroy(C);CHKERRQ(ierr);
  ierr = MatDestroy(B);CHKERRQ(ierr);
  ierr = MatDestroy(A);CHKERRQ(ierr);
  ierr = PetscFree(a);CHKERRQ(ierr);
  PetscFinalize();
  return(0);
}
Ejemplo n.º 13
0
PetscInt main(PetscInt argc,char **args)
{
  Mat            A,A_dense,B;
  Vec            *evecs;
  PetscBool      flg,TestZHEEV=PETSC_TRUE,TestZHEEVX=PETSC_FALSE,TestZHEGV=PETSC_FALSE,TestZHEGVX=PETSC_FALSE;
  PetscErrorCode ierr;
  PetscBool      isSymmetric;
  PetscScalar    sigma,*arrayA,*arrayB,*evecs_array=NULL,*work;
  PetscReal      *evals,*rwork;
  PetscMPIInt    size;
  PetscInt       m,i,j,nevs,il,iu,cklvl=2;
  PetscReal      vl,vu,abstol=1.e-8;
  PetscBLASInt   *iwork,*ifail,lwork,lierr,bn;
  PetscReal      tols[2];
  PetscInt       nzeros[2],nz;
  PetscReal      ratio;
  PetscScalar    v,none = -1.0,sigma2,pfive = 0.5,*xa;
  PetscRandom    rctx;
  PetscReal      h2,sigma1 = 100.0;
  PetscInt       dim,Ii,J,Istart,Iend,n = 6,its,use_random,one=1;

  PetscInitialize(&argc,&args,(char*)0,help);
#if !defined(PETSC_USE_COMPLEX)
  SETERRQ(PETSC_COMM_WORLD,1,"This example requires complex numbers");
#endif
  ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRQ(ierr);
  if (size != 1) SETERRQ(PETSC_COMM_WORLD,PETSC_ERR_SUP,"This is a uniprocessor example only!");

  ierr = PetscOptionsHasName(NULL, "-test_zheevx", &flg);CHKERRQ(ierr);
  if (flg) {
    TestZHEEV  = PETSC_FALSE;
    TestZHEEVX = PETSC_TRUE;
  }
  ierr = PetscOptionsHasName(NULL, "-test_zhegv", &flg);CHKERRQ(ierr);
  if (flg) {
    TestZHEEV = PETSC_FALSE;
    TestZHEGV = PETSC_TRUE;
  }
  ierr = PetscOptionsHasName(NULL, "-test_zhegvx", &flg);CHKERRQ(ierr);
  if (flg) {
    TestZHEEV  = PETSC_FALSE;
    TestZHEGVX = PETSC_TRUE;
  }

  ierr = PetscOptionsGetReal(NULL,"-sigma1",&sigma1,NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetInt(NULL,"-n",&n,NULL);CHKERRQ(ierr);
  dim  = n*n;

  ierr = MatCreate(PETSC_COMM_SELF,&A);CHKERRQ(ierr);
  ierr = MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,dim,dim);CHKERRQ(ierr);
  ierr = MatSetType(A,MATSEQDENSE);CHKERRQ(ierr);
  ierr = MatSetFromOptions(A);CHKERRQ(ierr);

  ierr = PetscOptionsHasName(NULL,"-norandom",&flg);CHKERRQ(ierr);
  if (flg) use_random = 0;
  else     use_random = 1;
  if (use_random) {
    ierr = PetscRandomCreate(PETSC_COMM_SELF,&rctx);CHKERRQ(ierr);
    ierr = PetscRandomSetFromOptions(rctx);CHKERRQ(ierr);
    ierr = PetscRandomSetInterval(rctx,0.0,PETSC_i);CHKERRQ(ierr);
  } else {
    sigma2 = 10.0*PETSC_i;
  }
  h2 = 1.0/((n+1)*(n+1));
  for (Ii=0; Ii<dim; Ii++) {
    v = -1.0; i = Ii/n; j = Ii - i*n;
    if (i>0) {
      J = Ii-n; ierr = MatSetValues(A,1,&Ii,1,&J,&v,ADD_VALUES);CHKERRQ(ierr);
    }
    if (i<n-1) {
      J = Ii+n; ierr = MatSetValues(A,1,&Ii,1,&J,&v,ADD_VALUES);CHKERRQ(ierr);
    }
    if (j>0) {
      J = Ii-1; ierr = MatSetValues(A,1,&Ii,1,&J,&v,ADD_VALUES);CHKERRQ(ierr);
    }
    if (j<n-1) {
      J = Ii+1; ierr = MatSetValues(A,1,&Ii,1,&J,&v,ADD_VALUES);CHKERRQ(ierr);
    }
    if (use_random) {ierr = PetscRandomGetValue(rctx,&sigma2);CHKERRQ(ierr);}
    v    = 4.0 - sigma1*h2;
    ierr = MatSetValues(A,1,&Ii,1,&Ii,&v,ADD_VALUES);CHKERRQ(ierr);
  }
  /* make A complex Hermitian */
  v    = sigma2*h2;
  Ii   = 0; J = 1;
  ierr = MatSetValues(A,1,&Ii,1,&J,&v,ADD_VALUES);CHKERRQ(ierr);
  v    = -sigma2*h2;
  ierr = MatSetValues(A,1,&J,1,&Ii,&v,ADD_VALUES);CHKERRQ(ierr);
  if (use_random) {ierr = PetscRandomDestroy(&rctx);CHKERRQ(ierr);}
  ierr = MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  m    = n = dim;

  /* Check whether A is symmetric */
  ierr = PetscOptionsHasName(NULL, "-check_symmetry", &flg);CHKERRQ(ierr);
  if (flg) {
    Mat Trans;
    ierr = MatTranspose(A,MAT_INITIAL_MATRIX, &Trans);
    ierr = MatEqual(A, Trans, &isSymmetric);
    if (!isSymmetric) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_USER,"A must be symmetric");
    ierr = MatDestroy(&Trans);CHKERRQ(ierr);
  }

  /* Convert aij matrix to MatSeqDense for LAPACK */
  ierr = PetscObjectTypeCompare((PetscObject)A,MATSEQDENSE,&flg);CHKERRQ(ierr);
  if (flg) {
    ierr = MatDuplicate(A,MAT_COPY_VALUES,&A_dense);CHKERRQ(ierr);
  } else {
    ierr = MatConvert(A,MATSEQDENSE,MAT_INITIAL_MATRIX,&A_dense);CHKERRQ(ierr);
  }

  ierr = MatCreate(PETSC_COMM_SELF,&B);CHKERRQ(ierr);
  ierr = MatSetSizes(B,PETSC_DECIDE,PETSC_DECIDE,dim,dim);CHKERRQ(ierr);
  ierr = MatSetType(B,MATSEQDENSE);CHKERRQ(ierr);
  ierr = MatSetFromOptions(B);CHKERRQ(ierr);
  v    = 1.0;
  for (Ii=0; Ii<dim; Ii++) {
    ierr = MatSetValues(B,1,&Ii,1,&Ii,&v,ADD_VALUES);CHKERRQ(ierr);
  }

  /* Solve standard eigenvalue problem: A*x = lambda*x */
  /*===================================================*/
  ierr = PetscBLASIntCast(2*n,&lwork);CHKERRQ(ierr);
  ierr = PetscBLASIntCast(n,&bn);CHKERRQ(ierr);
  ierr = PetscMalloc(n*sizeof(PetscReal),&evals);CHKERRQ(ierr);
  ierr = PetscMalloc(lwork*sizeof(PetscScalar),&work);CHKERRQ(ierr);
  ierr = MatDenseGetArray(A_dense,&arrayA);CHKERRQ(ierr);

  if (TestZHEEV) { /* test zheev() */
    printf(" LAPACKsyev: compute all %d eigensolutions...\n",m);
    ierr = PetscMalloc((3*n-2)*sizeof(PetscReal),&rwork);CHKERRQ(ierr);
    LAPACKsyev_("V","U",&bn,arrayA,&bn,evals,work,&lwork,rwork,&lierr);
    ierr = PetscFree(rwork);CHKERRQ(ierr);

    evecs_array = arrayA;
    nevs        = m;
    il          =1; iu=m;
  }
  if (TestZHEEVX) {
    il   = 1;
    ierr = PetscBLASIntCast((0.2*m),&iu);CHKERRQ(ierr);
    printf(" LAPACKsyevx: compute %d to %d-th eigensolutions...\n",il,iu);
    ierr = PetscMalloc((m*n+1)*sizeof(PetscScalar),&evecs_array);CHKERRQ(ierr);
    ierr = PetscMalloc((7*n+1)*sizeof(PetscReal),&rwork);CHKERRQ(ierr);
    ierr = PetscMalloc((5*n+1)*sizeof(PetscBLASInt),&iwork);CHKERRQ(ierr);
    ierr = PetscMalloc((n+1)*sizeof(PetscBLASInt),&ifail);CHKERRQ(ierr);

    /* in the case "I", vl and vu are not referenced */
    vl = 0.0; vu = 8.0;
    LAPACKsyevx_("V","I","U",&bn,arrayA,&bn,&vl,&vu,&il,&iu,&abstol,&nevs,evals,evecs_array,&n,work,&lwork,rwork,iwork,ifail,&lierr);
    ierr = PetscFree(iwork);CHKERRQ(ierr);
    ierr = PetscFree(ifail);CHKERRQ(ierr);
    ierr = PetscFree(rwork);CHKERRQ(ierr);
  }
  if (TestZHEGV) {
    printf(" LAPACKsygv: compute all %d eigensolutions...\n",m);
    ierr = PetscMalloc((3*n+1)*sizeof(PetscReal),&rwork);CHKERRQ(ierr);
    ierr = MatDenseGetArray(B,&arrayB);CHKERRQ(ierr);
    LAPACKsygv_(&one,"V","U",&bn,arrayA,&bn,arrayB,&bn,evals,work,&lwork,rwork,&lierr);
    evecs_array = arrayA;
    nevs        = m;
    il          = 1; iu=m;
    ierr        = MatDenseRestoreArray(B,&arrayB);CHKERRQ(ierr);
    ierr        = PetscFree(rwork);CHKERRQ(ierr);
  }
  if (TestZHEGVX) {
    il   = 1;
    ierr = PetscBLASIntCast((0.2*m),&iu);CHKERRQ(ierr);
    printf(" LAPACKsygv: compute %d to %d-th eigensolutions...\n",il,iu);
    ierr  = PetscMalloc((m*n+1)*sizeof(PetscScalar),&evecs_array);CHKERRQ(ierr);
    ierr  = PetscMalloc((6*n+1)*sizeof(PetscBLASInt),&iwork);CHKERRQ(ierr);
    ifail = iwork + 5*n;
    ierr  = PetscMalloc((7*n+1)*sizeof(PetscReal),&rwork);CHKERRQ(ierr);
    ierr  = MatDenseGetArray(B,&arrayB);CHKERRQ(ierr);
    vl    = 0.0; vu = 8.0;
    LAPACKsygvx_(&one,"V","I","U",&bn,arrayA,&bn,arrayB,&bn,&vl,&vu,&il,&iu,&abstol,&nevs,evals,evecs_array,&n,work,&lwork,rwork,iwork,ifail,&lierr);
    ierr = MatDenseRestoreArray(B,&arrayB);CHKERRQ(ierr);
    ierr = PetscFree(iwork);CHKERRQ(ierr);
    ierr = PetscFree(rwork);CHKERRQ(ierr);
  }
  ierr = MatDenseRestoreArray(A_dense,&arrayA);CHKERRQ(ierr);
  if (nevs <= 0) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_CONV_FAILED, "nev=%d, no eigensolution has found", nevs);

  /* View evals */
  ierr = PetscOptionsHasName(NULL, "-eig_view", &flg);CHKERRQ(ierr);
  if (flg) {
    printf(" %d evals: \n",nevs);
    for (i=0; i<nevs; i++) printf("%d  %G\n",i+il,evals[i]);
  }

  /* Check residuals and orthogonality */
  ierr = PetscMalloc((nevs+1)*sizeof(Vec),&evecs);CHKERRQ(ierr);
  for (i=0; i<nevs; i++) {
    ierr = VecCreate(PETSC_COMM_SELF,&evecs[i]);CHKERRQ(ierr);
    ierr = VecSetSizes(evecs[i],PETSC_DECIDE,n);CHKERRQ(ierr);
    ierr = VecSetFromOptions(evecs[i]);CHKERRQ(ierr);
    ierr = VecPlaceArray(evecs[i],evecs_array+i*n);CHKERRQ(ierr);
  }

  tols[0] = 1.e-8;  tols[1] = 1.e-8;
  ierr    = CkEigenSolutions(cklvl,A,il-1,iu-1,evals,evecs,tols);CHKERRQ(ierr);
  for (i=0; i<nevs; i++) { ierr = VecDestroy(&evecs[i]);CHKERRQ(ierr);}
  ierr = PetscFree(evecs);CHKERRQ(ierr);

  /* Free work space. */
  if (TestZHEEVX || TestZHEGVX) {
    ierr = PetscFree(evecs_array);CHKERRQ(ierr);
  }
  ierr = PetscFree(evals);CHKERRQ(ierr);
  ierr = PetscFree(work);CHKERRQ(ierr);
  ierr = MatDestroy(&A_dense);CHKERRQ(ierr);
  ierr = MatDestroy(&A);CHKERRQ(ierr);
  ierr = MatDestroy(&B);CHKERRQ(ierr);
  ierr = PetscFinalize();
  return 0;
}
Ejemplo n.º 14
0
Archivo: ex110.c Proyecto: Kun-Qu/petsc
int main(int argc,char **argv) {
  Mat            A,B;
  PetscInt       i,j,column;
  PetscInt       *di,*dj,*oi,*oj;
  PetscScalar    *oa,*da,value; 
  PetscRandom    rctx;
  PetscErrorCode ierr;
  PetscBool      equal;
  Mat_SeqAIJ     *daij,*oaij;
  Mat_MPIAIJ     *Ampiaij;
  PetscMPIInt    size,rank;

  PetscInitialize(&argc,&argv,(char *)0,help);
  ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRQ(ierr);
  if (size == 1) SETERRQ(PETSC_COMM_WORLD,PETSC_ERR_ARG_OUTOFRANGE,"Must run with 2 or more processes");CHKERRQ(ierr);
  ierr = MPI_Comm_rank(PETSC_COMM_WORLD,&rank);CHKERRQ(ierr);

  /* Create a mpiaij matrix for checking */
  ierr = MatCreateAIJ(PETSC_COMM_WORLD,5,5,PETSC_DECIDE,PETSC_DECIDE,0,PETSC_NULL,0,PETSC_NULL,&A);CHKERRQ(ierr);
  ierr = MatSetOption(A,MAT_NEW_NONZERO_LOCATION_ERR,PETSC_FALSE);CHKERRQ(ierr);
  ierr = MatSetUp(A);CHKERRQ(ierr);
  ierr = PetscRandomCreate(PETSC_COMM_WORLD,&rctx);CHKERRQ(ierr);
  ierr = PetscRandomSetFromOptions(rctx);CHKERRQ(ierr);
 
  for (i=5*rank; i<5*rank+5; i++) {
    for (j=0; j<5*size; j++){
      ierr   = PetscRandomGetValue(rctx,&value);CHKERRQ(ierr);
      column = (PetscInt) (5*size*PetscRealPart(value));
      ierr   = PetscRandomGetValue(rctx,&value);CHKERRQ(ierr);
      ierr   = MatSetValues(A,1,&i,1,&column,&value,INSERT_VALUES);CHKERRQ(ierr);
    }
  }
  ierr = MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);

  Ampiaij = (Mat_MPIAIJ*) A->data;
  daij    = (Mat_SeqAIJ*) Ampiaij->A->data;
  oaij    = (Mat_SeqAIJ*) Ampiaij->B->data;
  
  di      = daij->i;
  dj      = daij->j;
  da      = daij->a;

  oi      = oaij->i;
  oa      = oaij->a;
  ierr    = PetscMalloc(oi[5]*sizeof(PetscInt),&oj);CHKERRQ(ierr);
  ierr    = PetscMemcpy(oj,oaij->j,oi[5]*sizeof(PetscInt));CHKERRQ(ierr);
  /* modify the column entries in the non-diagonal portion back to global numbering */
  for (i=0; i<oi[5]; i++) {
    oj[i] = Ampiaij->garray[oj[i]];
  }

  ierr = MatCreateMPIAIJWithSplitArrays(PETSC_COMM_WORLD,5,5,PETSC_DETERMINE,PETSC_DETERMINE,di,dj,da,oi,oj,oa,&B);CHKERRQ(ierr);
  ierr = MatSetUp(B);CHKERRQ(ierr);
  ierr = MatEqual(A,B,&equal);CHKERRQ(ierr);

  if (!equal) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Likely a bug in MatCreateMPIAIJWithSplitArrays()");

  /* Free spaces */
  ierr = PetscRandomDestroy(&rctx);CHKERRQ(ierr);
  ierr = MatDestroy(&A);CHKERRQ(ierr);
  ierr = MatDestroy(&B);CHKERRQ(ierr);
  ierr = PetscFree(oj);CHKERRQ(ierr);
  ierr = PetscFinalize();
  return(0);
}
Ejemplo n.º 15
0
Archivo: ex91.c Proyecto: Kun-Qu/petsc
int main(int argc,char **args)
{
  Mat            A,Atrans,sA,*submatA,*submatsA;
  PetscInt       bs=1,m=43,ov=1,i,j,k,*rows,*cols,M,nd=5,*idx,mm,nn;
  PetscErrorCode ierr;
  PetscMPIInt    size;
  PetscScalar    *vals,rval,one=1.0;
  IS             *is1,*is2;
  PetscRandom    rand;
  Vec            xx,s1,s2;
  PetscReal      s1norm,s2norm,rnorm,tol = 1.e-10;
  PetscBool      flg;

  PetscInitialize(&argc,&args,(char *)0,help);
 

  ierr = PetscOptionsGetInt(PETSC_NULL,"-mat_block_size",&bs,PETSC_NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetInt(PETSC_NULL,"-mat_size",&m,PETSC_NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetInt(PETSC_NULL,"-ov",&ov,PETSC_NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetInt(PETSC_NULL,"-nd",&nd,PETSC_NULL);CHKERRQ(ierr);

  /* create a SeqBAIJ matrix A */
  M    = m*bs;
  ierr = MatCreateSeqBAIJ(PETSC_COMM_SELF,bs,M,M,1,PETSC_NULL,&A);CHKERRQ(ierr);
  ierr = PetscRandomCreate(PETSC_COMM_SELF,&rand);CHKERRQ(ierr);
  ierr = PetscRandomSetFromOptions(rand);CHKERRQ(ierr);

  ierr = PetscMalloc(bs*sizeof(PetscInt),&rows);CHKERRQ(ierr);
  ierr = PetscMalloc(bs*sizeof(PetscInt),&cols);CHKERRQ(ierr);
  ierr = PetscMalloc(bs*bs*sizeof(PetscScalar),&vals);CHKERRQ(ierr);
  ierr = PetscMalloc(M*sizeof(PetscScalar),&idx);CHKERRQ(ierr);
  
  /* Now set blocks of random values */
  /* first, set diagonal blocks as zero */
  for (j=0; j<bs*bs; j++) vals[j] = 0.0;
  for (i=0; i<m; i++){
    cols[0] = i*bs; rows[0] = i*bs; 
    for (j=1; j<bs; j++) {
      rows[j] = rows[j-1]+1;
      cols[j] = cols[j-1]+1;
    }
    ierr = MatSetValues(A,bs,rows,bs,cols,vals,ADD_VALUES);CHKERRQ(ierr);
  }
  /* second, add random blocks */
  for (i=0; i<20*bs; i++) {
      ierr = PetscRandomGetValue(rand,&rval);CHKERRQ(ierr);
      cols[0] = bs*(int)(PetscRealPart(rval)*m);
      ierr = PetscRandomGetValue(rand,&rval);CHKERRQ(ierr);
      rows[0] = bs*(int)(PetscRealPart(rval)*m);
      for (j=1; j<bs; j++) {
        rows[j] = rows[j-1]+1;
        cols[j] = cols[j-1]+1;
      }

      for (j=0; j<bs*bs; j++) {
        ierr = PetscRandomGetValue(rand,&rval);CHKERRQ(ierr);
        vals[j] = rval;
      }
      ierr = MatSetValues(A,bs,rows,bs,cols,vals,ADD_VALUES);CHKERRQ(ierr);
  }

  ierr = MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);

  /* make A a symmetric matrix: A <- A^T + A */
  ierr = MatTranspose(A,MAT_INITIAL_MATRIX, &Atrans);CHKERRQ(ierr);
  ierr = MatAXPY(A,one,Atrans,DIFFERENT_NONZERO_PATTERN);CHKERRQ(ierr); 
  ierr = MatDestroy(&Atrans);CHKERRQ(ierr);
  ierr = MatTranspose(A,MAT_INITIAL_MATRIX, &Atrans);
  ierr = MatEqual(A, Atrans, &flg);
  if (!flg) {
    SETERRQ(PETSC_COMM_SELF,1,"A+A^T is non-symmetric");
  }
  ierr = MatDestroy(&Atrans);CHKERRQ(ierr);

  /* create a SeqSBAIJ matrix sA (= A) */
  ierr = MatConvert(A,MATSEQSBAIJ,MAT_INITIAL_MATRIX,&sA);CHKERRQ(ierr); 
 
  /* Test sA==A through MatMult() */
  for (i=0; i<nd; i++) {
    ierr = MatGetSize(A,&mm,&nn);CHKERRQ(ierr);
    ierr = VecCreateSeq(PETSC_COMM_SELF,mm,&xx);CHKERRQ(ierr);
    ierr = VecDuplicate(xx,&s1);CHKERRQ(ierr);
    ierr = VecDuplicate(xx,&s2);CHKERRQ(ierr);
    for (j=0; j<3; j++) {
      ierr = VecSetRandom(xx,rand);CHKERRQ(ierr);
      ierr = MatMult(A,xx,s1);CHKERRQ(ierr);
      ierr = MatMult(sA,xx,s2);CHKERRQ(ierr);
      ierr = VecNorm(s1,NORM_2,&s1norm);CHKERRQ(ierr);
      ierr = VecNorm(s2,NORM_2,&s2norm);CHKERRQ(ierr);
      rnorm = s2norm-s1norm;
      if (rnorm<-tol || rnorm>tol) { 
        ierr = PetscPrintf(PETSC_COMM_SELF,"Error:MatMult - Norm1=%16.14e Norm2=%16.14e\n",s1norm,s2norm);CHKERRQ(ierr);
      }
    }
    ierr = VecDestroy(&xx);CHKERRQ(ierr);
    ierr = VecDestroy(&s1);CHKERRQ(ierr);
    ierr = VecDestroy(&s2);CHKERRQ(ierr);
  } 

  /* Test MatIncreaseOverlap() */
  ierr = PetscMalloc(nd*sizeof(IS **),&is1);CHKERRQ(ierr);
  ierr = PetscMalloc(nd*sizeof(IS **),&is2);CHKERRQ(ierr);

  
  for (i=0; i<nd; i++) {
    ierr = PetscRandomGetValue(rand,&rval);CHKERRQ(ierr);
    size = (int)(PetscRealPart(rval)*m);
    for (j=0; j<size; j++) {
      ierr = PetscRandomGetValue(rand,&rval);CHKERRQ(ierr);
      idx[j*bs] = bs*(int)(PetscRealPart(rval)*m);
      for (k=1; k<bs; k++) idx[j*bs+k] = idx[j*bs]+k;
    }
    ierr = ISCreateGeneral(PETSC_COMM_SELF,size*bs,idx,PETSC_COPY_VALUES,is1+i);CHKERRQ(ierr);
    ierr = ISCreateGeneral(PETSC_COMM_SELF,size*bs,idx,PETSC_COPY_VALUES,is2+i);CHKERRQ(ierr);
  }
  /* for debugging */
  /*
  ierr = MatView(A,PETSC_VIEWER_STDOUT_SELF);CHKERRQ(ierr); 
  ierr = MatView(sA,PETSC_VIEWER_STDOUT_SELF);CHKERRQ(ierr); 
  */

  ierr = MatIncreaseOverlap(A,nd,is1,ov);CHKERRQ(ierr);
  ierr = MatIncreaseOverlap(sA,nd,is2,ov);CHKERRQ(ierr);

  for (i=0; i<nd; ++i) { 
    ierr = ISSort(is1[i]);CHKERRQ(ierr);
    ierr = ISSort(is2[i]);CHKERRQ(ierr);
  }

  for (i=0; i<nd; ++i) {
    ierr = ISEqual(is1[i],is2[i],&flg);CHKERRQ(ierr);
    if (!flg){
      /* ISView(is1[i],PETSC_VIEWER_STDOUT_SELF);CHKERRQ(ierr);
         ISView(is2[i],PETSC_VIEWER_STDOUT_SELF);CHKERRQ(ierr); */
      SETERRQ1(PETSC_COMM_SELF,1,"i=%d, is1 != is2",i);
    }
  }
  
  ierr = MatGetSubMatrices(A,nd,is1,is1,MAT_INITIAL_MATRIX,&submatA);CHKERRQ(ierr);
  ierr = MatGetSubMatrices(sA,nd,is2,is2,MAT_INITIAL_MATRIX,&submatsA);CHKERRQ(ierr);

  /* Test MatMult() */
  for (i=0; i<nd; i++) {
    ierr = MatGetSize(submatA[i],&mm,&nn);CHKERRQ(ierr);
    ierr = VecCreateSeq(PETSC_COMM_SELF,mm,&xx);CHKERRQ(ierr);
    ierr = VecDuplicate(xx,&s1);CHKERRQ(ierr);
    ierr = VecDuplicate(xx,&s2);CHKERRQ(ierr);
    for (j=0; j<3; j++) {
      ierr = VecSetRandom(xx,rand);CHKERRQ(ierr);
      ierr = MatMult(submatA[i],xx,s1);CHKERRQ(ierr);
      ierr = MatMult(submatsA[i],xx,s2);CHKERRQ(ierr);
      ierr = VecNorm(s1,NORM_2,&s1norm);CHKERRQ(ierr);
      ierr = VecNorm(s2,NORM_2,&s2norm);CHKERRQ(ierr);
      rnorm = s2norm-s1norm;
      if (rnorm<-tol || rnorm>tol) { 
        ierr = PetscPrintf(PETSC_COMM_SELF,"Error:MatMult - Norm1=%16.14e Norm2=%16.14e\n",s1norm,s2norm);CHKERRQ(ierr);
      }
    }
    ierr = VecDestroy(&xx);CHKERRQ(ierr);
    ierr = VecDestroy(&s1);CHKERRQ(ierr);
    ierr = VecDestroy(&s2);CHKERRQ(ierr);
  } 

  /* Now test MatGetSubmatrices with MAT_REUSE_MATRIX option */
  ierr = MatGetSubMatrices(A,nd,is1,is1,MAT_REUSE_MATRIX,&submatA);CHKERRQ(ierr);
  ierr = MatGetSubMatrices(sA,nd,is2,is2,MAT_REUSE_MATRIX,&submatsA);CHKERRQ(ierr);
  
  /* Test MatMult() */
  for (i=0; i<nd; i++) {
    ierr = MatGetSize(submatA[i],&mm,&nn);CHKERRQ(ierr);
    ierr = VecCreateSeq(PETSC_COMM_SELF,mm,&xx);CHKERRQ(ierr);
    ierr = VecDuplicate(xx,&s1);CHKERRQ(ierr);
    ierr = VecDuplicate(xx,&s2);CHKERRQ(ierr);
    for (j=0; j<3; j++) {
      ierr = VecSetRandom(xx,rand);CHKERRQ(ierr);
      ierr = MatMult(submatA[i],xx,s1);CHKERRQ(ierr);
      ierr = MatMult(submatsA[i],xx,s2);CHKERRQ(ierr);
      ierr = VecNorm(s1,NORM_2,&s1norm);CHKERRQ(ierr);
      ierr = VecNorm(s2,NORM_2,&s2norm);CHKERRQ(ierr);
      rnorm = s2norm-s1norm;
      if (rnorm<-tol || rnorm>tol) { 
        ierr = PetscPrintf(PETSC_COMM_SELF,"Error:MatMult - Norm1=%16.14e Norm2=%16.14e\n",s1norm,s2norm);CHKERRQ(ierr);
      }
    }
    ierr = VecDestroy(&xx);CHKERRQ(ierr);
    ierr = VecDestroy(&s1);CHKERRQ(ierr);
    ierr = VecDestroy(&s2);CHKERRQ(ierr);
  } 
    
  /* Free allocated memory */
  for (i=0; i<nd; ++i) { 
    ierr = ISDestroy(&is1[i]);CHKERRQ(ierr);
    ierr = ISDestroy(&is2[i]);CHKERRQ(ierr);
    
    ierr = MatDestroy(&submatA[i]);CHKERRQ(ierr);
    ierr = MatDestroy(&submatsA[i]);CHKERRQ(ierr);
    
  }
  
  ierr = PetscFree(submatA);CHKERRQ(ierr);
  ierr = PetscFree(submatsA);CHKERRQ(ierr);
  
  ierr = PetscFree(is1);CHKERRQ(ierr);
  ierr = PetscFree(is2);CHKERRQ(ierr);
  ierr = PetscFree(idx);CHKERRQ(ierr);
  ierr = PetscFree(rows);CHKERRQ(ierr);
  ierr = PetscFree(cols);CHKERRQ(ierr);
  ierr = PetscFree(vals);CHKERRQ(ierr);
  ierr = MatDestroy(&A);CHKERRQ(ierr);
  ierr = MatDestroy(&sA);CHKERRQ(ierr);
  ierr = PetscRandomDestroy(&rand);CHKERRQ(ierr);
  ierr = PetscFinalize();
  return 0;
}
Ejemplo n.º 16
0
int main(int argc,char **argv)
{
  Mat                  A,R,C,C_dense,C_sparse,Rt_dense,P,PtAP;
  PetscInt             row,col,m,n;
  PetscErrorCode       ierr;
  MatScalar            one         =1.0,val;
  MatColoring          mc;
  MatTransposeColoring matcoloring = 0;
  ISColoring           iscoloring;
  PetscBool            equal;
  PetscMPIInt          size;

  ierr = PetscInitialize(&argc,&argv,(char*)0,help);if (ierr) return ierr;
  ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRQ(ierr);
  if (size != 1) SETERRQ(PETSC_COMM_WORLD,PETSC_ERR_SUP,"This is a uniprocessor example only!");

  /* Create seqaij A */
  ierr = MatCreate(PETSC_COMM_SELF,&A);CHKERRQ(ierr);
  ierr = MatSetSizes(A,4,4,4,4);CHKERRQ(ierr);
  ierr = MatSetType(A,MATSEQAIJ);CHKERRQ(ierr);
  ierr = MatSetFromOptions(A);CHKERRQ(ierr);
  ierr = MatSetUp(A);CHKERRQ(ierr);
  row  = 0; col=0; val=1.0; ierr = MatSetValues(A,1,&row,1,&col,&val,ADD_VALUES);CHKERRQ(ierr);
  row  = 1; col=3; val=2.0; ierr = MatSetValues(A,1,&row,1,&col,&val,ADD_VALUES);CHKERRQ(ierr);
  row  = 2; col=2; val=3.0; ierr = MatSetValues(A,1,&row,1,&col,&val,ADD_VALUES);CHKERRQ(ierr);
  row  = 3; col=0; val=4.0; ierr = MatSetValues(A,1,&row,1,&col,&val,ADD_VALUES);CHKERRQ(ierr);
  ierr = MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatSetOptionsPrefix(A,"A_");CHKERRQ(ierr);
  ierr = MatView(A,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_SELF,"\n");CHKERRQ(ierr);

  /* Create seqaij R */
  ierr = MatCreate(PETSC_COMM_SELF,&R);CHKERRQ(ierr);
  ierr = MatSetSizes(R,2,4,2,4);CHKERRQ(ierr);
  ierr = MatSetType(R,MATSEQAIJ);CHKERRQ(ierr);
  ierr = MatSetFromOptions(R);CHKERRQ(ierr);
  ierr = MatSetUp(R);CHKERRQ(ierr);
  row  = 0; col=0; ierr = MatSetValues(R,1,&row,1,&col,&one,ADD_VALUES);CHKERRQ(ierr);
  row  = 0; col=1; ierr = MatSetValues(R,1,&row,1,&col,&one,ADD_VALUES);CHKERRQ(ierr);

  row  = 1; col=1; ierr = MatSetValues(R,1,&row,1,&col,&one,ADD_VALUES);CHKERRQ(ierr);
  row  = 1; col=2; ierr = MatSetValues(R,1,&row,1,&col,&one,ADD_VALUES);CHKERRQ(ierr);
  row  = 1; col=3; ierr = MatSetValues(R,1,&row,1,&col,&one,ADD_VALUES);CHKERRQ(ierr);
  ierr = MatAssemblyBegin(R,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(R,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatSetOptionsPrefix(R,"R_");CHKERRQ(ierr);
  ierr = MatView(R,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_SELF,"\n");CHKERRQ(ierr);

  /* C = A*R^T */
  ierr = MatMatTransposeMult(A,R,MAT_INITIAL_MATRIX,2.0,&C);CHKERRQ(ierr);
  ierr = MatSetOptionsPrefix(C,"ARt_");CHKERRQ(ierr);
  ierr = MatView(C,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_SELF,"\n");CHKERRQ(ierr);

  /* Create MatTransposeColoring from symbolic C=A*R^T */
  ierr = MatColoringCreate(C,&mc);CHKERRQ(ierr);
  ierr = MatColoringSetDistance(mc,2);CHKERRQ(ierr);
  /* ierr = MatColoringSetType(mc,MATCOLORINGSL);CHKERRQ(ierr); */
  ierr = MatColoringSetFromOptions(mc);CHKERRQ(ierr);
  ierr = MatColoringApply(mc,&iscoloring);CHKERRQ(ierr);
  ierr = MatColoringDestroy(&mc);CHKERRQ(ierr);
  ierr = MatTransposeColoringCreate(C,iscoloring,&matcoloring);CHKERRQ(ierr);
  ierr = ISColoringDestroy(&iscoloring);CHKERRQ(ierr);

  /* Create Rt_dense */
  ierr = MatCreate(PETSC_COMM_WORLD,&Rt_dense);CHKERRQ(ierr);
  ierr = MatSetSizes(Rt_dense,4,matcoloring->ncolors,PETSC_DECIDE,PETSC_DECIDE);CHKERRQ(ierr);
  ierr = MatSetType(Rt_dense,MATDENSE);CHKERRQ(ierr);
  ierr = MatSeqDenseSetPreallocation(Rt_dense,NULL);CHKERRQ(ierr);
  ierr = MatAssemblyBegin(Rt_dense,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(Rt_dense,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatGetLocalSize(Rt_dense,&m,&n);CHKERRQ(ierr);
  printf("Rt_dense: %d,%d\n",(int)m,(int)n);

  /* Get Rt_dense by Apply MatTransposeColoring to R */
  ierr = MatTransColoringApplySpToDen(matcoloring,R,Rt_dense);CHKERRQ(ierr);

  /* C_dense = A*Rt_dense */
  ierr = MatMatMult(A,Rt_dense,MAT_INITIAL_MATRIX,2.0,&C_dense);CHKERRQ(ierr);
  ierr = MatSetOptionsPrefix(C_dense,"ARt_dense_");CHKERRQ(ierr);
  /*ierr = MatView(C_dense,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr); */
  /*ierr = PetscPrintf(PETSC_COMM_SELF,"\n");CHKERRQ(ierr); */

  /* Recover C from C_dense */
  ierr = MatDuplicate(C,MAT_DO_NOT_COPY_VALUES,&C_sparse);CHKERRQ(ierr);
  ierr = MatTransColoringApplyDenToSp(matcoloring,C_dense,C_sparse);CHKERRQ(ierr);
  ierr = MatSetOptionsPrefix(C_sparse,"ARt_color_");CHKERRQ(ierr);
  ierr = MatView(C_sparse,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_SELF,"\n");CHKERRQ(ierr);

  ierr = MatDestroy(&C_dense);CHKERRQ(ierr);
  ierr = MatDestroy(&C_sparse);CHKERRQ(ierr);
  ierr = MatDestroy(&Rt_dense);CHKERRQ(ierr);
  ierr = MatTransposeColoringDestroy(&matcoloring);CHKERRQ(ierr);
  ierr = MatDestroy(&C);CHKERRQ(ierr);

  /* Test PtAP = P^T*A*P, P = R^T */
  ierr = MatTranspose(R,MAT_INITIAL_MATRIX,&P);CHKERRQ(ierr);
  ierr = MatPtAP(A,P,MAT_INITIAL_MATRIX,2.0,&PtAP);CHKERRQ(ierr);
  ierr = MatSetOptionsPrefix(PtAP,"PtAP_");CHKERRQ(ierr);
  ierr = MatView(PtAP,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
  ierr = MatDestroy(&P);CHKERRQ(ierr);

  /* Test C = RARt */
  ierr = MatRARt(A,R,MAT_INITIAL_MATRIX,2.0,&C);CHKERRQ(ierr);
  ierr = MatRARt(A,R,MAT_REUSE_MATRIX,2.0,&C);CHKERRQ(ierr);
  ierr = MatEqual(C,PtAP,&equal);CHKERRQ(ierr);
  if (!equal) {
    ierr = PetscPrintf(PETSC_COMM_SELF,"Error: PtAP != RARt");CHKERRQ(ierr);
  }

  /* Free spaces */
  ierr = MatDestroy(&C);CHKERRQ(ierr);
  ierr = MatDestroy(&A);CHKERRQ(ierr);
  ierr = MatDestroy(&R);CHKERRQ(ierr);
  ierr = MatDestroy(&PtAP);CHKERRQ(ierr);
  ierr = PetscFinalize();
  return ierr;
}
Ejemplo n.º 17
0
int main(int argc,char **args)
{
  Mat            C,C1,F; 
  Vec            u,x,b;
  PetscErrorCode ierr;
  PetscMPIInt    rank,nproc;
  PetscInt       i,M = 10,m,n,nfact,nsolve;
  PetscScalar    *array,rval;
  PetscReal      norm,tol=1.e-12;
  IS             perm,iperm;
  MatFactorInfo  info;
  PetscRandom    rand;
  PetscTruth     flg;

  PetscInitialize(&argc,&args,(char *)0,help);
  ierr = MPI_Comm_rank(PETSC_COMM_WORLD, &rank);CHKERRQ(ierr);
  ierr = MPI_Comm_size(PETSC_COMM_WORLD, &nproc);CHKERRQ(ierr);

  /* Create matrix and vectors */
  ierr = PetscOptionsGetInt(PETSC_NULL,"-M",&M,PETSC_NULL);CHKERRQ(ierr);
  ierr = MatCreate(PETSC_COMM_WORLD,&C);CHKERRQ(ierr);
  ierr = MatSetSizes(C,PETSC_DECIDE,PETSC_DECIDE,M,M);CHKERRQ(ierr);
  ierr = MatSetType(C,MATDENSE);CHKERRQ(ierr); 
  ierr = MatSetFromOptions(C);CHKERRQ(ierr); 
  
  ierr = MatGetLocalSize(C,&m,&n);CHKERRQ(ierr);
  if (m != n) SETERRQ2(PETSC_ERR_ARG_WRONG,"Matrix local size m %d must equal n %d",m,n);

  ierr = VecCreate(PETSC_COMM_WORLD,&x);CHKERRQ(ierr);
  ierr = VecSetSizes(x,n,PETSC_DECIDE);CHKERRQ(ierr);
  ierr = VecSetFromOptions(x);CHKERRQ(ierr);
  ierr = VecDuplicate(x,&b);CHKERRQ(ierr);
  ierr = VecDuplicate(x,&u);CHKERRQ(ierr); /* save the true solution */

  /* Assembly */
  ierr = PetscRandomCreate(PETSC_COMM_WORLD,&rand);CHKERRQ(ierr);
  ierr = PetscRandomSetFromOptions(rand);CHKERRQ(ierr);
  ierr = MatGetArray(C,&array);CHKERRQ(ierr);
  for (i=0; i<m*M; i++){
    ierr = PetscRandomGetValue(rand,&rval);CHKERRQ(ierr);
    array[i] = rval; 
  }
  ierr = MatRestoreArray(C,&array);CHKERRQ(ierr);
  ierr = MatAssemblyBegin(C,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(C,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);   
  /*if (!rank) {printf("main, C: \n");}
    ierr = MatView(C,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr); */

  /* Test MatDuplicate() */
  ierr = MatDuplicate(C,MAT_COPY_VALUES,&C1);CHKERRQ(ierr); 
  ierr = MatEqual(C,C1,&flg);CHKERRQ(ierr);
  if (!flg){
    SETERRQ(PETSC_ERR_ARG_WRONG,"Duplicate C1 != C");
  }

  /* Test LU Factorization */
  ierr = MatGetOrdering(C1,MATORDERING_NATURAL,&perm,&iperm);CHKERRQ(ierr);
  if (nproc == 1){
    ierr = MatGetFactor(C1,MAT_SOLVER_PETSC,MAT_FACTOR_LU,&F);CHKERRQ(ierr);
  } else {
    ierr = MatGetFactor(C1,MAT_SOLVER_PLAPACK,MAT_FACTOR_LU,&F);CHKERRQ(ierr);
  }
  ierr = MatLUFactorSymbolic(F,C1,perm,iperm,&info);CHKERRQ(ierr);

  for (nfact = 0; nfact < 2; nfact++){
    if (!rank) printf(" LU nfact %d\n",nfact);
    ierr = MatLUFactorNumeric(F,C1,&info);CHKERRQ(ierr);

    /* Test MatSolve() */
    for (nsolve = 0; nsolve < 5; nsolve++){
      ierr = VecGetArray(x,&array);CHKERRQ(ierr);
      for (i=0; i<m; i++){
        ierr = PetscRandomGetValue(rand,&rval);CHKERRQ(ierr);
        array[i] = rval; 
      }
      ierr = VecRestoreArray(x,&array);CHKERRQ(ierr);
      ierr = VecCopy(x,u);CHKERRQ(ierr); 
      ierr = MatMult(C,x,b);CHKERRQ(ierr);

      ierr = MatSolve(F,b,x);CHKERRQ(ierr); 

      /* Check the error */
      ierr = VecAXPY(u,-1.0,x);CHKERRQ(ierr);  /* u <- (-1.0)x + u */
      ierr = VecNorm(u,NORM_2,&norm);CHKERRQ(ierr);
      if (norm > tol){ 
        if (!rank){
          ierr = PetscPrintf(PETSC_COMM_SELF,"Error: Norm of error %g, LU nfact %d\n",norm,nfact);CHKERRQ(ierr);
        }
      }
    }
  }
  ierr = MatDestroy(C1);CHKERRQ(ierr);
  ierr = MatDestroy(F);CHKERRQ(ierr);

  /* Test Cholesky Factorization */
  ierr = MatTranspose(C,MAT_INITIAL_MATRIX,&C1);CHKERRQ(ierr); /* C1 = C^T */
  ierr = MatAXPY(C,1.0,C1,SAME_NONZERO_PATTERN);CHKERRQ(ierr); /* make C symmetric: C <- C + C^T */
  ierr = MatShift(C,M);CHKERRQ(ierr);  /* make C positive definite */
  ierr = MatDestroy(C1);CHKERRQ(ierr);
  
  ierr = MatSetOption(C,MAT_SYMMETRIC,PETSC_TRUE);CHKERRQ(ierr);
  ierr = MatSetOption(C,MAT_SYMMETRY_ETERNAL,PETSC_TRUE);CHKERRQ(ierr); 
  
  if (nproc == 1){
    ierr = MatGetFactor(C,MAT_SOLVER_PETSC,MAT_FACTOR_CHOLESKY,&F);CHKERRQ(ierr);
  } else {
    ierr = MatGetFactor(C,MAT_SOLVER_PLAPACK,MAT_FACTOR_CHOLESKY,&F);CHKERRQ(ierr);
  }
  ierr = MatCholeskyFactorSymbolic(F,C,perm,&info);CHKERRQ(ierr);
  for (nfact = 0; nfact < 2; nfact++){
    if (!rank) printf(" Cholesky nfact %d\n",nfact);
    ierr = MatCholeskyFactorNumeric(F,C,&info);CHKERRQ(ierr);

    /* Test MatSolve() */
    for (nsolve = 0; nsolve < 5; nsolve++){
      ierr = VecGetArray(x,&array);CHKERRQ(ierr);
      for (i=0; i<m; i++){
        ierr = PetscRandomGetValue(rand,&rval);CHKERRQ(ierr);
        array[i] = rval; 
      }
      ierr = VecRestoreArray(x,&array);CHKERRQ(ierr);
      ierr = VecCopy(x,u);CHKERRQ(ierr); 
      ierr = MatMult(C,x,b);CHKERRQ(ierr);

      ierr = MatSolve(F,b,x);CHKERRQ(ierr); 

      /* Check the error */
      ierr = VecAXPY(u,-1.0,x);CHKERRQ(ierr);  /* u <- (-1.0)x + u */
      ierr = VecNorm(u,NORM_2,&norm);CHKERRQ(ierr);
      if (norm > tol){ 
        if (!rank){
          ierr = PetscPrintf(PETSC_COMM_SELF,"Error: Norm of error %g, Cholesky nfact %d\n",norm,nfact);CHKERRQ(ierr);
        }
      }
    }
  }
  ierr = MatDestroy(F);CHKERRQ(ierr);

  /* Free data structures */
  ierr = PetscRandomDestroy(rand);CHKERRQ(ierr);
  ierr = ISDestroy(perm);CHKERRQ(ierr);
  ierr = ISDestroy(iperm);CHKERRQ(ierr);
  ierr = VecDestroy(x);CHKERRQ(ierr); 
  ierr = VecDestroy(b);CHKERRQ(ierr);
  ierr = VecDestroy(u);CHKERRQ(ierr); 
  ierr = MatDestroy(C);CHKERRQ(ierr); 

  ierr = PetscFinalize();CHKERRQ(ierr);
  return 0;
}
Ejemplo n.º 18
0
  -fA <input_file> -fB <input_file> -fC <input_file> \n\n";

#include <petscmat.h>

#undef __FUNCT__
#define __FUNCT__ "main"
int main(int argc,char **args)
{
  Mat            A,B,C,D,BC,ABC;
  PetscViewer    fd;
  char           file[3][PETSC_MAX_PATH_LEN];
  PetscBool      flg;
  PetscErrorCode ierr;

  PetscInitialize(&argc,&args,(char*)0,help);
  /* read matrices A, B and C */
  ierr = PetscOptionsGetString(NULL,NULL,"-fA",file[0],PETSC_MAX_PATH_LEN,&flg);CHKERRQ(ierr);
  if (!flg) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_USER,"Must indicate binary file with the -fA options");

  ierr = PetscOptionsGetString(NULL,NULL,"-fB",file[1],PETSC_MAX_PATH_LEN,&flg);CHKERRQ(ierr);
  if (!flg) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_USER,"Must indicate binary file with the -fB options");

  ierr = PetscOptionsGetString(NULL,NULL,"-fC",file[2],PETSC_MAX_PATH_LEN,&flg);CHKERRQ(ierr);
  if (!flg) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_USER,"Must indicate binary file with the -fC options");

  /* Load matrices */
  ierr = PetscViewerBinaryOpen(PETSC_COMM_WORLD,file[0],FILE_MODE_READ,&fd);CHKERRQ(ierr);
  ierr = MatCreate(PETSC_COMM_WORLD,&A);CHKERRQ(ierr);
  ierr = MatLoad(A,fd);CHKERRQ(ierr);
  ierr = PetscViewerDestroy(&fd);CHKERRQ(ierr);

  ierr = PetscViewerBinaryOpen(PETSC_COMM_WORLD,file[1],FILE_MODE_READ,&fd);CHKERRQ(ierr);
  ierr = MatCreate(PETSC_COMM_WORLD,&B);CHKERRQ(ierr);
  ierr = MatLoad(B,fd);CHKERRQ(ierr);
  ierr = PetscViewerDestroy(&fd);CHKERRQ(ierr);

  ierr = PetscViewerBinaryOpen(PETSC_COMM_WORLD,file[2],FILE_MODE_READ,&fd);CHKERRQ(ierr);
  ierr = MatCreate(PETSC_COMM_WORLD,&C);CHKERRQ(ierr);
  ierr = MatLoad(C,fd);CHKERRQ(ierr);
  ierr = PetscViewerDestroy(&fd);CHKERRQ(ierr);

  /* Test MatMatMult() */
  ierr = MatMatMult(B,C,MAT_INITIAL_MATRIX,PETSC_DEFAULT,&BC);CHKERRQ(ierr);
  ierr = MatMatMult(A,BC,MAT_INITIAL_MATRIX,PETSC_DEFAULT,&ABC);CHKERRQ(ierr);

  ierr = MatMatMatMult(A,B,C,MAT_INITIAL_MATRIX,PETSC_DEFAULT,&D);CHKERRQ(ierr);
  ierr = MatMatMatMult(A,B,C,MAT_REUSE_MATRIX,PETSC_DEFAULT,&D);CHKERRQ(ierr);
  /* ierr = MatView(D,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr); */

  ierr = MatEqual(ABC,D,&flg);CHKERRQ(ierr);
  if (!flg) SETERRQ(PetscObjectComm((PetscObject)A),PETSC_ERR_ARG_INCOMP,"ABC != D");
 
  ierr = MatDestroy(&ABC);CHKERRQ(ierr);
  ierr = MatDestroy(&BC);CHKERRQ(ierr);
  ierr = MatDestroy(&D);CHKERRQ(ierr);
  ierr = MatDestroy(&C);CHKERRQ(ierr);
  ierr = MatDestroy(&B);CHKERRQ(ierr);
  ierr = MatDestroy(&A);CHKERRQ(ierr);
  PetscFinalize();
  return 0;
}
Ejemplo n.º 19
0
int main(int argc,char **argv)
{
  Mat            A,B,C,D;
  PetscInt       i,M,N,Istart,Iend,n=7,j,J,Ii,m=8,am,an;
  PetscScalar    v;
  PetscErrorCode ierr;
  PetscRandom    r;
  PetscBool      equal=PETSC_FALSE;
  PetscReal      fill = 1.0;
  PetscMPIInt    size;

  PetscInitialize(&argc,&argv,(char*)0,help);
  ierr = PetscOptionsGetInt(NULL,NULL,"-m",&m,NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetInt(NULL,NULL,"-n",&n,NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetReal(NULL,NULL,"-fill",&fill,NULL);CHKERRQ(ierr);

  ierr = PetscRandomCreate(PETSC_COMM_WORLD,&r);CHKERRQ(ierr);
  ierr = PetscRandomSetFromOptions(r);CHKERRQ(ierr);

  /* Create a aij matrix A */
  M    = N = m*n;
  ierr = MatCreate(PETSC_COMM_WORLD,&A);CHKERRQ(ierr);
  ierr = MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,M,N);CHKERRQ(ierr);
  ierr = MatSetType(A,MATAIJ);CHKERRQ(ierr);
  ierr = MatSetFromOptions(A);CHKERRQ(ierr);
  ierr = MatMPIAIJSetPreallocation(A,5,NULL,5,NULL);CHKERRQ(ierr);
  ierr = MatSeqAIJSetPreallocation(A,5,NULL);CHKERRQ(ierr);

  ierr = MatGetOwnershipRange(A,&Istart,&Iend);CHKERRQ(ierr);
  am   = Iend - Istart;
  for (Ii=Istart; Ii<Iend; Ii++) {
    v = -1.0; i = Ii/n; j = Ii - i*n;
    if (i>0)   {J = Ii - n; ierr = MatSetValues(A,1,&Ii,1,&J,&v,INSERT_VALUES);CHKERRQ(ierr);}
    if (i<m-1) {J = Ii + n; ierr = MatSetValues(A,1,&Ii,1,&J,&v,INSERT_VALUES);CHKERRQ(ierr);}
    if (j>0)   {J = Ii - 1; ierr = MatSetValues(A,1,&Ii,1,&J,&v,INSERT_VALUES);CHKERRQ(ierr);}
    if (j<n-1) {J = Ii + 1; ierr = MatSetValues(A,1,&Ii,1,&J,&v,INSERT_VALUES);CHKERRQ(ierr);}
    v = 4.0; ierr = MatSetValues(A,1,&Ii,1,&Ii,&v,INSERT_VALUES);CHKERRQ(ierr);
  }
  ierr = MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);

  /* Create a dense matrix B */
  ierr = MatGetLocalSize(A,&am,&an);CHKERRQ(ierr);
  ierr = MatCreate(PETSC_COMM_WORLD,&B);CHKERRQ(ierr);
  ierr = MatSetSizes(B,an,PETSC_DECIDE,PETSC_DECIDE,M);CHKERRQ(ierr);
  ierr = MatSetType(B,MATDENSE);CHKERRQ(ierr);
  ierr = MatSeqDenseSetPreallocation(B,NULL);CHKERRQ(ierr);
  ierr = MatMPIDenseSetPreallocation(B,NULL);CHKERRQ(ierr);
  ierr = MatSetFromOptions(B);CHKERRQ(ierr);
  ierr = MatSetRandom(B,r);CHKERRQ(ierr);
  ierr = PetscRandomDestroy(&r);CHKERRQ(ierr);
  ierr = MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);

  /* Test C = A*B (aij*dense) */
  ierr = MatMatMult(A,B,MAT_INITIAL_MATRIX,fill,&C);CHKERRQ(ierr);
  ierr = MatMatMult(A,B,MAT_REUSE_MATRIX,fill,&C);CHKERRQ(ierr);

  ierr = MatMatMultSymbolic(A,B,fill,&D);CHKERRQ(ierr);
  for (i=0; i<2; i++) {
    ierr = MatMatMultNumeric(A,B,D);CHKERRQ(ierr);
  }
  ierr = MatEqual(C,D,&equal);CHKERRQ(ierr);
  if (!equal) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE,"C != D");
  ierr = MatDestroy(&D);CHKERRQ(ierr);

  /* Test D = C*A (dense*aij) */
  ierr = MatMatMult(C,A,MAT_INITIAL_MATRIX,fill,&D);CHKERRQ(ierr);
  ierr = MatMatMult(C,A,MAT_REUSE_MATRIX,fill,&D);CHKERRQ(ierr);
  ierr = MatDestroy(&D);CHKERRQ(ierr);

  /* Test D = A*C (aij*dense) */
  ierr = MatMatMult(A,C,MAT_INITIAL_MATRIX,fill,&D);CHKERRQ(ierr);
  ierr = MatMatMult(A,C,MAT_REUSE_MATRIX,fill,&D);CHKERRQ(ierr);
  ierr = MatDestroy(&D);CHKERRQ(ierr);

  /* Test D = B*C (dense*dense) */
  ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRQ(ierr);
  if (size == 1) {
    ierr = MatMatMult(B,C,MAT_INITIAL_MATRIX,fill,&D);CHKERRQ(ierr);
    ierr = MatMatMult(B,C,MAT_REUSE_MATRIX,fill,&D);CHKERRQ(ierr);
    ierr = MatDestroy(&D);CHKERRQ(ierr);
  }

  ierr = MatDestroy(&C);CHKERRQ(ierr);
  ierr = MatDestroy(&B);CHKERRQ(ierr);
  ierr = MatDestroy(&A);CHKERRQ(ierr);
  PetscFinalize();
  return(0);
}
Ejemplo n.º 20
0
int main(int argc,char **args)
{
  PetscMPIInt    size;
  PetscErrorCode ierr;
  Vec            x,y,b,s1,s2;
  Mat            A;                    /* linear system matrix */
  Mat            sA,sB,sC;             /* symmetric part of the matrices */
  PetscInt       n,mbs=16,bs=1,nz=3,prob=1,i,j,k1,k2,col[3],lf,block, row,Ii,J,n1,inc;
  PetscReal      norm1,norm2,rnorm,tol=PETSC_SMALL;
  PetscScalar    neg_one = -1.0,four=4.0,value[3];
  IS             perm, iscol;
  PetscRandom    rdm;
  PetscBool      doIcc=PETSC_TRUE,equal;
  MatInfo        minfo1,minfo2;
  MatFactorInfo  factinfo;
  MatType        type;

  PetscInitialize(&argc,&args,(char*)0,help);
  ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRQ(ierr);
  if (size != 1) SETERRQ(PETSC_COMM_WORLD,PETSC_ERR_SUP,"This is a uniprocessor example only!");
  ierr = PetscOptionsGetInt(NULL,"-bs",&bs,NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetInt(NULL,"-mbs",&mbs,NULL);CHKERRQ(ierr);

  n    = mbs*bs;
  ierr = MatCreate(PETSC_COMM_SELF,&A);CHKERRQ(ierr);
  ierr = MatSetSizes(A,n,n,PETSC_DETERMINE,PETSC_DETERMINE);CHKERRQ(ierr);
  ierr = MatSetType(A,MATSEQBAIJ);CHKERRQ(ierr);
  ierr = MatSetFromOptions(A);CHKERRQ(ierr);
  ierr = MatSeqBAIJSetPreallocation(A,bs,nz,NULL);CHKERRQ(ierr);

  ierr = MatCreate(PETSC_COMM_SELF,&sA);CHKERRQ(ierr);
  ierr = MatSetSizes(sA,n,n,PETSC_DETERMINE,PETSC_DETERMINE);CHKERRQ(ierr);
  ierr = MatSetType(sA,MATSEQSBAIJ);CHKERRQ(ierr);
  ierr = MatSetFromOptions(sA);CHKERRQ(ierr);
  ierr = MatGetType(sA,&type);CHKERRQ(ierr);
  ierr = PetscObjectTypeCompare((PetscObject)sA,MATSEQSBAIJ,&doIcc);CHKERRQ(ierr);
  ierr = MatSeqSBAIJSetPreallocation(sA,bs,nz,NULL);CHKERRQ(ierr);
  ierr = MatSetOption(sA,MAT_IGNORE_LOWER_TRIANGULAR,PETSC_TRUE);CHKERRQ(ierr);

  /* Test MatGetOwnershipRange() */
  ierr = MatGetOwnershipRange(A,&Ii,&J);CHKERRQ(ierr);
  ierr = MatGetOwnershipRange(sA,&i,&j);CHKERRQ(ierr);
  if (i-Ii || j-J) {
    ierr = PetscPrintf(PETSC_COMM_SELF,"Error: MatGetOwnershipRange() in MatSBAIJ format\n");CHKERRQ(ierr);
  }

  /* Assemble matrix */
  if (bs == 1) {
    ierr = PetscOptionsGetInt(NULL,"-test_problem",&prob,NULL);CHKERRQ(ierr);
    if (prob == 1) { /* tridiagonal matrix */
      value[0] = -1.0; value[1] = 2.0; value[2] = -1.0;
      for (i=1; i<n-1; i++) {
        col[0] = i-1; col[1] = i; col[2] = i+1;
        ierr   = MatSetValues(A,1,&i,3,col,value,INSERT_VALUES);CHKERRQ(ierr);
        ierr   = MatSetValues(sA,1,&i,3,col,value,INSERT_VALUES);CHKERRQ(ierr);
      }
      i = n - 1; col[0]=0; col[1] = n - 2; col[2] = n - 1;

      value[0]= 0.1; value[1]=-1; value[2]=2;

      ierr = MatSetValues(A,1,&i,3,col,value,INSERT_VALUES);CHKERRQ(ierr);
      ierr = MatSetValues(sA,1,&i,3,col,value,INSERT_VALUES);CHKERRQ(ierr);

      i        = 0;
      col[0]   = n-1;   col[1] = 1;      col[2] = 0;
      value[0] = 0.1; value[1] = -1.0; value[2] = 2;

      ierr = MatSetValues(A,1,&i,3,col,value,INSERT_VALUES);CHKERRQ(ierr);
      ierr = MatSetValues(sA,1,&i,3,col,value,INSERT_VALUES);CHKERRQ(ierr);

    } else if (prob ==2) { /* matrix for the five point stencil */
      n1 = (PetscInt) (PetscSqrtReal((PetscReal)n) + 0.001);
      if (n1*n1 - n) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONG,"sqrt(n) must be a positive interger!");
      for (i=0; i<n1; i++) {
        for (j=0; j<n1; j++) {
          Ii = j + n1*i;
          if (i>0) {
            J    = Ii - n1;
            ierr = MatSetValues(A,1,&Ii,1,&J,&neg_one,INSERT_VALUES);CHKERRQ(ierr);
            ierr = MatSetValues(sA,1,&Ii,1,&J,&neg_one,INSERT_VALUES);CHKERRQ(ierr);
          }
          if (i<n1-1) {
            J    = Ii + n1;
            ierr = MatSetValues(A,1,&Ii,1,&J,&neg_one,INSERT_VALUES);CHKERRQ(ierr);
            ierr = MatSetValues(sA,1,&Ii,1,&J,&neg_one,INSERT_VALUES);CHKERRQ(ierr);
          }
          if (j>0) {
            J    = Ii - 1;
            ierr = MatSetValues(A,1,&Ii,1,&J,&neg_one,INSERT_VALUES);CHKERRQ(ierr);
            ierr = MatSetValues(sA,1,&Ii,1,&J,&neg_one,INSERT_VALUES);CHKERRQ(ierr);
          }
          if (j<n1-1) {
            J    = Ii + 1;
            ierr = MatSetValues(A,1,&Ii,1,&J,&neg_one,INSERT_VALUES);CHKERRQ(ierr);
            ierr = MatSetValues(sA,1,&Ii,1,&J,&neg_one,INSERT_VALUES);CHKERRQ(ierr);
          }
          ierr = MatSetValues(A,1,&Ii,1,&Ii,&four,INSERT_VALUES);CHKERRQ(ierr);
          ierr = MatSetValues(sA,1,&Ii,1,&Ii,&four,INSERT_VALUES);CHKERRQ(ierr);
        }
      }
    }

  } else { /* bs > 1 */
    for (block=0; block<n/bs; block++) {
      /* diagonal blocks */
      value[0] = -1.0; value[1] = 4.0; value[2] = -1.0;
      for (i=1+block*bs; i<bs-1+block*bs; i++) {
        col[0] = i-1; col[1] = i; col[2] = i+1;
        ierr   = MatSetValues(A,1,&i,3,col,value,INSERT_VALUES);CHKERRQ(ierr);
        ierr   = MatSetValues(sA,1,&i,3,col,value,INSERT_VALUES);CHKERRQ(ierr);
      }
      i = bs - 1+block*bs; col[0] = bs - 2+block*bs; col[1] = bs - 1+block*bs;

      value[0]=-1.0; value[1]=4.0;

      ierr = MatSetValues(A,1,&i,2,col,value,INSERT_VALUES);CHKERRQ(ierr);
      ierr = MatSetValues(sA,1,&i,2,col,value,INSERT_VALUES);CHKERRQ(ierr);

      i = 0+block*bs; col[0] = 0+block*bs; col[1] = 1+block*bs;

      value[0]=4.0; value[1] = -1.0;

      ierr = MatSetValues(A,1,&i,2,col,value,INSERT_VALUES);CHKERRQ(ierr);
      ierr = MatSetValues(sA,1,&i,2,col,value,INSERT_VALUES);CHKERRQ(ierr);
    }
    /* off-diagonal blocks */
    value[0]=-1.0;
    for (i=0; i<(n/bs-1)*bs; i++) {
      col[0]=i+bs;

      ierr = MatSetValues(A,1,&i,1,col,value,INSERT_VALUES);CHKERRQ(ierr);
      ierr = MatSetValues(sA,1,&i,1,col,value,INSERT_VALUES);CHKERRQ(ierr);

      col[0]=i; row=i+bs;

      ierr = MatSetValues(A,1,&row,1,col,value,INSERT_VALUES);CHKERRQ(ierr);
      ierr = MatSetValues(sA,1,&row,1,col,value,INSERT_VALUES);CHKERRQ(ierr);
    }
  }
  ierr = MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);

  ierr = MatAssemblyBegin(sA,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(sA,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);

  /* Test MatGetInfo() of A and sA */
  ierr = MatGetInfo(A,MAT_LOCAL,&minfo1);CHKERRQ(ierr);
  ierr = MatGetInfo(sA,MAT_LOCAL,&minfo2);CHKERRQ(ierr);
  /*
  printf("A matrix nonzeros (BAIJ format) = %d, allocated nonzeros= %d\n", (int)minfo1.nz_used,(int)minfo1.nz_allocated);
  printf("sA matrix nonzeros(SBAIJ format) = %d, allocated nonzeros= %d\n", (int)minfo2.nz_used,(int)minfo2.nz_allocated);
  */
  i  = (int) (minfo1.nz_used - minfo2.nz_used);
  j  = (int) (minfo1.nz_allocated - minfo2.nz_allocated);
  k1 = (int) (minfo1.nz_allocated - minfo1.nz_used);
  k2 = (int) (minfo2.nz_allocated - minfo2.nz_used);
  if (i < 0 || j < 0 || k1 < 0 || k2 < 0) {
    ierr = PetscPrintf(PETSC_COMM_SELF,"Error (compare A and sA): MatGetInfo()\n");CHKERRQ(ierr);
  }

  /* Test MatDuplicate() */
  ierr = MatNorm(A,NORM_FROBENIUS,&norm1);CHKERRQ(ierr);
  ierr = MatDuplicate(sA,MAT_COPY_VALUES,&sB);CHKERRQ(ierr);
  ierr = MatEqual(sA,sB,&equal);CHKERRQ(ierr);
  if (!equal) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_NOTSAMETYPE,"Error in MatDuplicate()");

  /* Test MatNorm() */
  ierr  = MatNorm(A,NORM_FROBENIUS,&norm1);CHKERRQ(ierr);
  ierr  = MatNorm(sB,NORM_FROBENIUS,&norm2);CHKERRQ(ierr);
  rnorm = PetscAbsReal(norm1-norm2)/norm2;
  if (rnorm > tol) {
    ierr = PetscPrintf(PETSC_COMM_SELF,"Error: MatNorm_FROBENIUS, NormA=%16.14e NormsB=%16.14e\n",norm1,norm2);CHKERRQ(ierr);
  }
  ierr  = MatNorm(A,NORM_INFINITY,&norm1);CHKERRQ(ierr);
  ierr  = MatNorm(sB,NORM_INFINITY,&norm2);CHKERRQ(ierr);
  rnorm = PetscAbsReal(norm1-norm2)/norm2;
  if (rnorm > tol) {
    ierr = PetscPrintf(PETSC_COMM_SELF,"Error: MatNorm_INFINITY(), NormA=%16.14e NormsB=%16.14e\n",norm1,norm2);CHKERRQ(ierr);
  }
  ierr  = MatNorm(A,NORM_1,&norm1);CHKERRQ(ierr);
  ierr  = MatNorm(sB,NORM_1,&norm2);CHKERRQ(ierr);
  rnorm = PetscAbsReal(norm1-norm2)/norm2;
  if (rnorm > tol) {
    ierr = PetscPrintf(PETSC_COMM_SELF,"Error: MatNorm_INFINITY(), NormA=%16.14e NormsB=%16.14e\n",norm1,norm2);CHKERRQ(ierr);
  }

  /* Test MatGetInfo(), MatGetSize(), MatGetBlockSize() */
  ierr = MatGetInfo(A,MAT_LOCAL,&minfo1);CHKERRQ(ierr);
  ierr = MatGetInfo(sB,MAT_LOCAL,&minfo2);CHKERRQ(ierr);
  /*
  printf("matrix nonzeros (BAIJ format) = %d, allocated nonzeros= %d\n", (int)minfo1.nz_used,(int)minfo1.nz_allocated);
  printf("matrix nonzeros(SBAIJ format) = %d, allocated nonzeros= %d\n", (int)minfo2.nz_used,(int)minfo2.nz_allocated);
  */
  i  = (int) (minfo1.nz_used - minfo2.nz_used);
  j  = (int) (minfo1.nz_allocated - minfo2.nz_allocated);
  k1 = (int) (minfo1.nz_allocated - minfo1.nz_used);
  k2 = (int) (minfo2.nz_allocated - minfo2.nz_used);
  if (i < 0 || j < 0 || k1 < 0 || k2 < 0) {
    ierr = PetscPrintf(PETSC_COMM_SELF,"Error(compare A and sB): MatGetInfo()\n");CHKERRQ(ierr);
  }

  ierr = MatGetSize(A,&Ii,&J);CHKERRQ(ierr);
  ierr = MatGetSize(sB,&i,&j);CHKERRQ(ierr);
  if (i-Ii || j-J) {
    PetscPrintf(PETSC_COMM_SELF,"Error: MatGetSize()\n");CHKERRQ(ierr);
  }

  ierr = MatGetBlockSize(A, &Ii);CHKERRQ(ierr);
  ierr = MatGetBlockSize(sB, &i);CHKERRQ(ierr);
  if (i-Ii) {
    ierr = PetscPrintf(PETSC_COMM_SELF,"Error: MatGetBlockSize()\n");CHKERRQ(ierr);
  }

  ierr = PetscRandomCreate(PETSC_COMM_SELF,&rdm);CHKERRQ(ierr);
  ierr = PetscRandomSetFromOptions(rdm);CHKERRQ(ierr);
  ierr = VecCreateSeq(PETSC_COMM_SELF,n,&x);CHKERRQ(ierr);
  ierr = VecDuplicate(x,&s1);CHKERRQ(ierr);
  ierr = VecDuplicate(x,&s2);CHKERRQ(ierr);
  ierr = VecDuplicate(x,&y);CHKERRQ(ierr);
  ierr = VecDuplicate(x,&b);CHKERRQ(ierr);
  ierr = VecSetRandom(x,rdm);CHKERRQ(ierr);

  /* Test MatDiagonalScale(), MatGetDiagonal(), MatScale() */
#if !defined(PETSC_USE_COMPLEX)
  /* Scaling matrix with complex numbers results non-spd matrix,
     causing crash of MatForwardSolve() and MatBackwardSolve() */
  ierr = MatDiagonalScale(A,x,x);CHKERRQ(ierr);
  ierr = MatDiagonalScale(sB,x,x);CHKERRQ(ierr);
  ierr = MatMultEqual(A,sB,10,&equal);CHKERRQ(ierr);
  if (!equal) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_NOTSAMETYPE,"Error in MatDiagonalScale");

  ierr = MatGetDiagonal(A,s1);CHKERRQ(ierr);
  ierr = MatGetDiagonal(sB,s2);CHKERRQ(ierr);
  ierr = VecAXPY(s2,neg_one,s1);CHKERRQ(ierr);
  ierr = VecNorm(s2,NORM_1,&norm1);CHKERRQ(ierr);
  if (norm1>tol) {
    ierr = PetscPrintf(PETSC_COMM_SELF,"Error:MatGetDiagonal(), ||s1-s2||=%G\n",norm1);CHKERRQ(ierr);
  }

  {
    PetscScalar alpha=0.1;
    ierr = MatScale(A,alpha);CHKERRQ(ierr);
    ierr = MatScale(sB,alpha);CHKERRQ(ierr);
  }
#endif

  /* Test MatGetRowMaxAbs() */
  ierr   = MatGetRowMaxAbs(A,s1,NULL);CHKERRQ(ierr);
  ierr   = MatGetRowMaxAbs(sB,s2,NULL);CHKERRQ(ierr);
  ierr   = VecNorm(s1,NORM_1,&norm1);CHKERRQ(ierr);
  ierr   = VecNorm(s2,NORM_1,&norm2);CHKERRQ(ierr);
  norm1 -= norm2;
  if (norm1<-tol || norm1>tol) {
    ierr = PetscPrintf(PETSC_COMM_SELF,"Error:MatGetRowMaxAbs() \n");CHKERRQ(ierr);
  }

  /* Test MatMult() */
  for (i=0; i<40; i++) {
    ierr   = VecSetRandom(x,rdm);CHKERRQ(ierr);
    ierr   = MatMult(A,x,s1);CHKERRQ(ierr);
    ierr   = MatMult(sB,x,s2);CHKERRQ(ierr);
    ierr   = VecNorm(s1,NORM_1,&norm1);CHKERRQ(ierr);
    ierr   = VecNorm(s2,NORM_1,&norm2);CHKERRQ(ierr);
    norm1 -= norm2;
    if (norm1<-tol || norm1>tol) {
      ierr = PetscPrintf(PETSC_COMM_SELF,"Error: MatMult(), norm1-norm2: %G\n",norm1);CHKERRQ(ierr);
    }
  }

  /* MatMultAdd() */
  for (i=0; i<40; i++) {
    ierr   = VecSetRandom(x,rdm);CHKERRQ(ierr);
    ierr   = VecSetRandom(y,rdm);CHKERRQ(ierr);
    ierr   = MatMultAdd(A,x,y,s1);CHKERRQ(ierr);
    ierr   = MatMultAdd(sB,x,y,s2);CHKERRQ(ierr);
    ierr   = VecNorm(s1,NORM_1,&norm1);CHKERRQ(ierr);
    ierr   = VecNorm(s2,NORM_1,&norm2);CHKERRQ(ierr);
    norm1 -= norm2;
    if (norm1<-tol || norm1>tol) {
      ierr = PetscPrintf(PETSC_COMM_SELF,"Error:MatMultAdd(),  norm1-norm2: %G\n",norm1);CHKERRQ(ierr);
    }
  }

  /* Test MatCholeskyFactor(), MatICCFactor() with natural ordering */
  ierr  = MatGetOrdering(A,MATORDERINGNATURAL,&perm,&iscol);CHKERRQ(ierr);
  ierr  = ISDestroy(&iscol);CHKERRQ(ierr);
  norm1 = tol;
  inc   = bs;

  /* initialize factinfo */
  ierr = PetscMemzero(&factinfo,sizeof(MatFactorInfo));CHKERRQ(ierr);

  for (lf=-1; lf<10; lf += inc) {
    if (lf==-1) {  /* Cholesky factor of sB (duplicate sA) */
      factinfo.fill = 5.0;

      ierr = MatGetFactor(sB,MATSOLVERPETSC,MAT_FACTOR_CHOLESKY,&sC);CHKERRQ(ierr);
      ierr = MatCholeskyFactorSymbolic(sC,sB,perm,&factinfo);CHKERRQ(ierr);
    } else if (!doIcc) break;
    else {       /* incomplete Cholesky factor */
      factinfo.fill   = 5.0;
      factinfo.levels = lf;

      ierr = MatGetFactor(sB,MATSOLVERPETSC,MAT_FACTOR_ICC,&sC);CHKERRQ(ierr);
      ierr = MatICCFactorSymbolic(sC,sB,perm,&factinfo);CHKERRQ(ierr);
    }
    ierr = MatCholeskyFactorNumeric(sC,sB,&factinfo);CHKERRQ(ierr);
    /* MatView(sC, PETSC_VIEWER_DRAW_WORLD); */

    /* test MatGetDiagonal on numeric factor */
    /*
    if (lf == -1) {
      ierr = MatGetDiagonal(sC,s1);CHKERRQ(ierr);
      printf(" in ex74.c, diag: \n");
      ierr = VecView(s1,PETSC_VIEWER_STDOUT_SELF);CHKERRQ(ierr);
    }
    */

    ierr = MatMult(sB,x,b);CHKERRQ(ierr);

    /* test MatForwardSolve() and MatBackwardSolve() */
    if (lf == -1) {
      ierr = MatForwardSolve(sC,b,s1);CHKERRQ(ierr);
      ierr = MatBackwardSolve(sC,s1,s2);CHKERRQ(ierr);
      ierr = VecAXPY(s2,neg_one,x);CHKERRQ(ierr);
      ierr = VecNorm(s2,NORM_2,&norm2);CHKERRQ(ierr);
      if (10*norm1 < norm2) {
        ierr = PetscPrintf(PETSC_COMM_SELF,"MatForwardSolve and BackwardSolve: Norm of error=%G, bs=%d\n",norm2,bs);CHKERRQ(ierr);
      }
    }

    /* test MatSolve() */
    ierr = MatSolve(sC,b,y);CHKERRQ(ierr);
    ierr = MatDestroy(&sC);CHKERRQ(ierr);
    /* Check the error */
    ierr = VecAXPY(y,neg_one,x);CHKERRQ(ierr);
    ierr = VecNorm(y,NORM_2,&norm2);CHKERRQ(ierr);
    /* printf("lf: %d, error: %G\n", lf,norm2); */
    if (10*norm1 < norm2 && lf-inc != -1) {
      ierr = PetscPrintf(PETSC_COMM_SELF,"lf=%D, %D, Norm of error=%G, %G\n",lf-inc,lf,norm1,norm2);CHKERRQ(ierr);
    }
    norm1 = norm2;
    if (norm2 < tol && lf != -1) break;
  }

  ierr = ISDestroy(&perm);CHKERRQ(ierr);

  ierr = MatDestroy(&A);CHKERRQ(ierr);
  ierr = MatDestroy(&sB);CHKERRQ(ierr);
  ierr = MatDestroy(&sA);CHKERRQ(ierr);
  ierr = VecDestroy(&x);CHKERRQ(ierr);
  ierr = VecDestroy(&y);CHKERRQ(ierr);
  ierr = VecDestroy(&s1);CHKERRQ(ierr);
  ierr = VecDestroy(&s2);CHKERRQ(ierr);
  ierr = VecDestroy(&b);CHKERRQ(ierr);
  ierr = PetscRandomDestroy(&rdm);CHKERRQ(ierr);

  ierr = PetscFinalize();
  return 0;
}
Ejemplo n.º 21
0
PetscInt main(PetscInt argc,char **args)
{
  Mat            A,As;
  PetscBool      flg,disp_mat=PETSC_FALSE;
  PetscErrorCode ierr;
  PetscMPIInt    size,rank;
  PetscInt       i,j;
  PetscScalar    v,sigma2;
  PetscRandom    rctx;
  PetscReal      h2,sigma1=100.0;
  PetscInt       dim,Ii,J,n = 3,use_random,rstart,rend;
  KSP            ksp;
  PC             pc;
  Mat            F;
  PetscInt       nneg, nzero, npos;

  PetscInitialize(&argc,&args,(char *)0,help);
#if !defined(PETSC_USE_COMPLEX)
  SETERRQ(PETSC_COMM_WORLD,1,"This example requires complex numbers");
#endif
  ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRQ(ierr);
  ierr = MPI_Comm_rank(PETSC_COMM_WORLD,&rank);CHKERRQ(ierr);
  ierr = PetscOptionsHasName(PETSC_NULL, "-display_mat", &disp_mat);CHKERRQ(ierr);

  ierr = PetscOptionsGetReal(PETSC_NULL,"-sigma1",&sigma1,PETSC_NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetInt(PETSC_NULL,"-n",&n,PETSC_NULL);CHKERRQ(ierr);
  dim  = n*n;

  ierr = MatCreate(PETSC_COMM_WORLD,&A);CHKERRQ(ierr);
  ierr = MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,dim,dim);CHKERRQ(ierr);
  ierr = MatSetType(A,MATAIJ);CHKERRQ(ierr);
  ierr = MatSetFromOptions(A);CHKERRQ(ierr);

  ierr = PetscOptionsHasName(PETSC_NULL,"-norandom",&flg);CHKERRQ(ierr);
  if (flg) use_random = 0;
  else     use_random = 1;
  if (use_random) {
    ierr = PetscRandomCreate(PETSC_COMM_WORLD,&rctx);CHKERRQ(ierr);
    ierr = PetscRandomSetFromOptions(rctx);CHKERRQ(ierr);
    ierr = PetscRandomSetInterval(rctx,0.0,PETSC_i);CHKERRQ(ierr);
    ierr = PetscRandomGetValue(rctx,&sigma2);CHKERRQ(ierr); /* RealPart(sigma2) == 0.0 */
  } else {
    sigma2 = 10.0*PETSC_i;
  }
  h2 = 1.0/((n+1)*(n+1));

  ierr = MatGetOwnershipRange(A,&rstart,&rend);CHKERRQ(ierr);
  for (Ii=rstart; Ii<rend; Ii++) {
    v = -1.0; i = Ii/n; j = Ii - i*n;
    if (i>0) {
      J = Ii-n; ierr = MatSetValues(A,1,&Ii,1,&J,&v,ADD_VALUES);CHKERRQ(ierr);}
    if (i<n-1) {
      J = Ii+n; ierr = MatSetValues(A,1,&Ii,1,&J,&v,ADD_VALUES);CHKERRQ(ierr);}
    if (j>0) {
      J = Ii-1; ierr = MatSetValues(A,1,&Ii,1,&J,&v,ADD_VALUES);CHKERRQ(ierr);}
    if (j<n-1) {
      J = Ii+1; ierr = MatSetValues(A,1,&Ii,1,&J,&v,ADD_VALUES);CHKERRQ(ierr);}
    v = 4.0 - sigma1*h2;
    ierr = MatSetValues(A,1,&Ii,1,&Ii,&v,ADD_VALUES);CHKERRQ(ierr);
  }
  ierr = MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);

  /* Check whether A is symmetric */
  ierr = PetscOptionsHasName(PETSC_NULL, "-check_symmetric", &flg);CHKERRQ(ierr);
  if (flg) {
    Mat Trans;
    ierr = MatTranspose(A,MAT_INITIAL_MATRIX, &Trans);
    ierr = MatEqual(A, Trans, &flg);
    if (!flg) SETERRQ(PETSC_COMM_WORLD,PETSC_ERR_USER,"A is not symmetric");
    ierr = MatDestroy(&Trans);CHKERRQ(ierr);
  }
  ierr = MatSetOption(A,MAT_SYMMETRIC,PETSC_TRUE);CHKERRQ(ierr);

  /* make A complex Hermitian */
  Ii = 0; J = dim-1;
  if (Ii >= rstart && Ii < rend){
    v = sigma2*h2; /* RealPart(v) = 0.0 */
    ierr = MatSetValues(A,1,&Ii,1,&J,&v,ADD_VALUES);CHKERRQ(ierr);
    v = -sigma2*h2;
    ierr = MatSetValues(A,1,&J,1,&Ii,&v,ADD_VALUES);CHKERRQ(ierr);
  }

  Ii = dim-2; J = dim-1;
  if (Ii >= rstart && Ii < rend){
  v = sigma2*h2; /* RealPart(v) = 0.0 */
  ierr = MatSetValues(A,1,&Ii,1,&J,&v,ADD_VALUES);CHKERRQ(ierr);
  v = -sigma2*h2;
  ierr = MatSetValues(A,1,&J,1,&Ii,&v,ADD_VALUES);CHKERRQ(ierr);
  }

  ierr = MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);

  /* Check whether A is Hermitian */
  ierr = PetscOptionsHasName(PETSC_NULL, "-check_Hermitian", &flg);CHKERRQ(ierr);
  if (flg) {
    Mat Hermit;
    if (disp_mat){
      if (!rank) printf(" A:\n");
      ierr = MatView(A,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
    }
    ierr = MatHermitianTranspose(A,MAT_INITIAL_MATRIX, &Hermit);
    if (disp_mat){
      if (!rank) printf(" A_Hermitian:\n");
      ierr = MatView(Hermit,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
    }
    ierr = MatEqual(A, Hermit, &flg);
    if (!flg) SETERRQ(PETSC_COMM_WORLD,PETSC_ERR_USER,"A is not Hermitian");
    ierr = MatDestroy(&Hermit);CHKERRQ(ierr);
  }
  ierr = MatSetOption(A,MAT_HERMITIAN,PETSC_TRUE);CHKERRQ(ierr);

  /* Create a Hermitian matrix As in sbaij format */
  ierr = MatConvert(A,MATSBAIJ,MAT_INITIAL_MATRIX,&As);CHKERRQ(ierr);
  if (disp_mat){
    if (!rank) {ierr = PetscPrintf(PETSC_COMM_SELF," As:\n");CHKERRQ(ierr);}
    ierr = MatView(As,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
  }

  /* Test MatGetInertia() */
  ierr = KSPCreate(PETSC_COMM_WORLD,&ksp);CHKERRQ(ierr);
  ierr = KSPSetType(ksp,KSPPREONLY);CHKERRQ(ierr);
  ierr = KSPSetOperators(ksp,As,As,DIFFERENT_NONZERO_PATTERN);CHKERRQ(ierr);

  ierr = KSPGetPC(ksp,&pc);CHKERRQ(ierr);
  ierr = PCSetType(pc,PCCHOLESKY);CHKERRQ(ierr);
  ierr = PCSetFromOptions(pc);CHKERRQ(ierr);

  ierr = PCSetUp(pc);CHKERRQ(ierr);
  ierr = PCFactorGetMatrix(pc,&F);CHKERRQ(ierr);
  ierr = MatGetInertia(F,&nneg,&nzero,&npos);CHKERRQ(ierr);
  ierr = MPI_Comm_rank(PETSC_COMM_WORLD,&rank);CHKERRQ(ierr);
  if (!rank){
    ierr = PetscPrintf(PETSC_COMM_SELF," MatInertia: nneg: %D, nzero: %D, npos: %D\n",nneg,nzero,npos);CHKERRQ(ierr);
  }

  /* Free spaces */
  ierr = KSPDestroy(&ksp);CHKERRQ(ierr);
  if (use_random) {ierr = PetscRandomDestroy(&rctx);CHKERRQ(ierr);}
  ierr = MatDestroy(&A);CHKERRQ(ierr);
  ierr = MatDestroy(&As);CHKERRQ(ierr);
  ierr = PetscFinalize();
  return 0;
}
Ejemplo n.º 22
0
int main(int argc,char **args)
{
  Mat            C,A;
  PetscInt       i, n = 10,midx[3],bs=1;
  PetscErrorCode ierr;
  PetscScalar    v[3];
  PetscBool      flg,isAIJ;
  MatType        type;
  PetscMPIInt    size;

  PetscInitialize(&argc,&args,(char *)0,help);
  ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRQ(ierr);
  ierr = PetscOptionsGetInt(PETSC_NULL,"-n",&n,PETSC_NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetInt(PETSC_NULL,"-mat_block_size",&bs,PETSC_NULL);CHKERRQ(ierr);

  ierr = MatCreate(PETSC_COMM_WORLD,&C);CHKERRQ(ierr);
  ierr = MatSetSizes(C,PETSC_DECIDE,PETSC_DECIDE,n,n);CHKERRQ(ierr);
  ierr = MatSetType(C,MATAIJ);CHKERRQ(ierr);
  ierr = MatSetFromOptions(C);CHKERRQ(ierr);

  ierr = MatGetType(C,&type);CHKERRQ(ierr);
  if (size == 1){
    ierr = PetscObjectTypeCompare((PetscObject)C,MATSEQAIJ,&isAIJ);CHKERRQ(ierr);
  } else {
    ierr = PetscObjectTypeCompare((PetscObject)C,MATMPIAIJ,&isAIJ);CHKERRQ(ierr);
  }
  ierr = MatSeqAIJSetPreallocation(C,3,PETSC_NULL);
  ierr = MatMPIAIJSetPreallocation(C,3,PETSC_NULL,3,PETSC_NULL);CHKERRQ(ierr);
  ierr = MatSeqBAIJSetPreallocation(C,bs,3,PETSC_NULL);
  ierr = MatMPIBAIJSetPreallocation(C,bs,3,PETSC_NULL,3,PETSC_NULL);CHKERRQ(ierr);

  v[0] = -1.; v[1] = 2.; v[2] = -1.;
  for (i=1; i<n-1; i++){
    midx[2] = i-1; midx[1] = i; midx[0] = i+1;
    ierr = MatSetValues(C,1,&i,3,midx,v,INSERT_VALUES);CHKERRQ(ierr);
  }
  i = 0; midx[0] = 0; midx[1] = 1;
  v[0] = 2.0; v[1] = -1.;
  ierr = MatSetValues(C,1,&i,2,midx,v,INSERT_VALUES);CHKERRQ(ierr);
  i = n-1; midx[0] = n-2; midx[1] = n-1;
  v[0] = -1.0; v[1] = 2.;
  ierr = MatSetValues(C,1,&i,2,midx,v,INSERT_VALUES);CHKERRQ(ierr);

  ierr = MatAssemblyBegin(C,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(C,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);

  ierr = MatCreate(PETSC_COMM_WORLD,&A);CHKERRQ(ierr);
  ierr = MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,n,n);CHKERRQ(ierr);
  ierr = MatSetFromOptions(A);CHKERRQ(ierr);
  ierr = MatSetUp(A);CHKERRQ(ierr);
  ierr = MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);

  /* test matrices with different nonzero patterns - Note: A is created with different nonzero pattern of C! */
  ierr = MatCopy(C,A,DIFFERENT_NONZERO_PATTERN);CHKERRQ(ierr);
  ierr = MatEqual(A,C,&flg);CHKERRQ(ierr);
  if (!flg) SETERRQ(PETSC_COMM_SELF,1,"MatCopy(C,A,DIFFERENT_NONZERO_PATTERN): Matrices are NOT equal");

  ierr = PetscViewerSetFormat(PETSC_VIEWER_STDOUT_WORLD,PETSC_VIEWER_ASCII_INFO);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_WORLD,"A is obtained with MatCopy(,,DIFFERENT_NONZERO_PATTERN):\n");CHKERRQ(ierr);
  ierr = MatView(A,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
  ierr = MatDestroy(&A);CHKERRQ(ierr);

  /* test matrices with same nonzero pattern */
  ierr = MatDuplicate(C,MAT_DO_NOT_COPY_VALUES,&A);CHKERRQ(ierr);
  ierr = MatCopy(C,A,SAME_NONZERO_PATTERN);CHKERRQ(ierr);
  ierr = MatEqual(A,C,&flg);CHKERRQ(ierr);
  if (!flg) SETERRQ(PETSC_COMM_SELF,1,"MatCopy(C,A,SAME_NONZERO_PATTERN): Matrices are NOT equal");

  ierr = PetscViewerSetFormat(PETSC_VIEWER_STDOUT_WORLD,PETSC_VIEWER_ASCII_INFO);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_WORLD,"\nA is obtained with MatCopy(,,SAME_NONZERO_PATTERN):\n");CHKERRQ(ierr);
  ierr = MatView(A,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);

  ierr = PetscViewerSetFormat(PETSC_VIEWER_STDOUT_WORLD,PETSC_VIEWER_ASCII_COMMON);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_WORLD,"A:\n");CHKERRQ(ierr);
  ierr = MatView(A,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);

  /* test MatStore/RetrieveValues() */
  if (isAIJ){
    ierr = MatSetOption(A,MAT_NEW_NONZERO_LOCATIONS,PETSC_FALSE);CHKERRQ(ierr);
    ierr = MatStoreValues(A);CHKERRQ(ierr);
    ierr = MatZeroEntries(A);CHKERRQ(ierr);
    ierr = MatRetrieveValues(A);CHKERRQ(ierr);
  }

  ierr = MatDestroy(&C);CHKERRQ(ierr);
  ierr = MatDestroy(&A);CHKERRQ(ierr);
  ierr = PetscFinalize();
  return 0;
}
Ejemplo n.º 23
0
/*
      Mm_ratio - ration of grid lines between fine and coarse grids.
*/
int main(int argc,char **argv)
{
  PetscErrorCode ierr;
  AppCtx         user;
  PetscMPIInt    size,rank;
  PetscInt       m,n,M,N,i,nrows;
  PetscScalar    one = 1.0;
  PetscReal      fill=2.0;
  Mat            A,P,R,C,PtAP;
  PetscScalar    *array;
  PetscRandom    rdm;
  PetscBool      Test_3D=PETSC_FALSE,flg;
  const PetscInt *ia,*ja;

  ierr = PetscInitialize(&argc,&argv,NULL,help);if (ierr) return ierr;
  ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRQ(ierr);
  ierr = MPI_Comm_rank(PETSC_COMM_WORLD,&rank);CHKERRQ(ierr);

  /* Get size of fine grids and coarse grids */
  user.ratio     = 2;
  user.coarse.mx = 4; user.coarse.my = 4; user.coarse.mz = 4;

  ierr = PetscOptionsGetInt(NULL,NULL,"-Mx",&user.coarse.mx,NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetInt(NULL,NULL,"-My",&user.coarse.my,NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetInt(NULL,NULL,"-Mz",&user.coarse.mz,NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetInt(NULL,NULL,"-ratio",&user.ratio,NULL);CHKERRQ(ierr);
  if (user.coarse.mz) Test_3D = PETSC_TRUE;

  user.fine.mx = user.ratio*(user.coarse.mx-1)+1;
  user.fine.my = user.ratio*(user.coarse.my-1)+1;
  user.fine.mz = user.ratio*(user.coarse.mz-1)+1;

  if (!rank) {
    if (!Test_3D) {
      ierr = PetscPrintf(PETSC_COMM_SELF,"coarse grids: %D %D; fine grids: %D %D\n",user.coarse.mx,user.coarse.my,user.fine.mx,user.fine.my);CHKERRQ(ierr);
    } else {
      ierr = PetscPrintf(PETSC_COMM_SELF,"coarse grids: %D %D %D; fine grids: %D %D %D\n",user.coarse.mx,user.coarse.my,user.coarse.mz,user.fine.mx,user.fine.my,user.fine.mz);CHKERRQ(ierr);
    }
  }

  /* Set up distributed array for fine grid */
  if (!Test_3D) {
    ierr = DMDACreate2d(PETSC_COMM_WORLD, DM_BOUNDARY_NONE, DM_BOUNDARY_NONE,DMDA_STENCIL_STAR,user.fine.mx,user.fine.my,PETSC_DECIDE,PETSC_DECIDE,1,1,NULL,NULL,&user.fine.da);CHKERRQ(ierr);
  } else {
    ierr = DMDACreate3d(PETSC_COMM_WORLD,DM_BOUNDARY_NONE,DM_BOUNDARY_NONE,DM_BOUNDARY_NONE,DMDA_STENCIL_STAR,user.fine.mx,user.fine.my,user.fine.mz,PETSC_DECIDE,PETSC_DECIDE,PETSC_DECIDE,
                        1,1,NULL,NULL,NULL,&user.fine.da);CHKERRQ(ierr);
  }
  ierr = DMSetFromOptions(user.fine.da);CHKERRQ(ierr);
  ierr = DMSetUp(user.fine.da);CHKERRQ(ierr);

  /* Create and set A at fine grids */
  ierr = DMSetMatType(user.fine.da,MATAIJ);CHKERRQ(ierr);
  ierr = DMCreateMatrix(user.fine.da,&A);CHKERRQ(ierr);
  ierr = MatGetLocalSize(A,&m,&n);CHKERRQ(ierr);
  ierr = MatGetSize(A,&M,&N);CHKERRQ(ierr);

  /* set val=one to A (replace with random values!) */
  ierr = PetscRandomCreate(PETSC_COMM_WORLD,&rdm);CHKERRQ(ierr);
  ierr = PetscRandomSetFromOptions(rdm);CHKERRQ(ierr);
  if (size == 1) {
    ierr = MatGetRowIJ(A,0,PETSC_FALSE,PETSC_FALSE,&nrows,&ia,&ja,&flg);CHKERRQ(ierr);
    if (flg) {
      ierr = MatSeqAIJGetArray(A,&array);CHKERRQ(ierr);
      for (i=0; i<ia[nrows]; i++) array[i] = one;
      ierr = MatSeqAIJRestoreArray(A,&array);CHKERRQ(ierr);
    }
    ierr = MatRestoreRowIJ(A,0,PETSC_FALSE,PETSC_FALSE,&nrows,&ia,&ja,&flg);CHKERRQ(ierr);
  } else {
    Mat AA,AB;
    ierr = MatMPIAIJGetSeqAIJ(A,&AA,&AB,NULL);CHKERRQ(ierr);
    ierr = MatGetRowIJ(AA,0,PETSC_FALSE,PETSC_FALSE,&nrows,&ia,&ja,&flg);CHKERRQ(ierr);
    if (flg) {
      ierr = MatSeqAIJGetArray(AA,&array);CHKERRQ(ierr);
      for (i=0; i<ia[nrows]; i++) array[i] = one;
      ierr = MatSeqAIJRestoreArray(AA,&array);CHKERRQ(ierr);
    }
    ierr = MatRestoreRowIJ(AA,0,PETSC_FALSE,PETSC_FALSE,&nrows,&ia,&ja,&flg);CHKERRQ(ierr);
    ierr = MatGetRowIJ(AB,0,PETSC_FALSE,PETSC_FALSE,&nrows,&ia,&ja,&flg);CHKERRQ(ierr);
    if (flg) {
      ierr = MatSeqAIJGetArray(AB,&array);CHKERRQ(ierr);
      for (i=0; i<ia[nrows]; i++) array[i] = one;
      ierr = MatSeqAIJRestoreArray(AB,&array);CHKERRQ(ierr);
    }
    ierr = MatRestoreRowIJ(AB,0,PETSC_FALSE,PETSC_FALSE,&nrows,&ia,&ja,&flg);CHKERRQ(ierr);
  }
  /* Set up distributed array for coarse grid */
  if (!Test_3D) {
    ierr = DMDACreate2d(PETSC_COMM_WORLD, DM_BOUNDARY_NONE, DM_BOUNDARY_NONE,DMDA_STENCIL_STAR,user.coarse.mx,user.coarse.my,PETSC_DECIDE,PETSC_DECIDE,1,1,NULL,NULL,&user.coarse.da);CHKERRQ(ierr);
  } else {
    ierr = DMDACreate3d(PETSC_COMM_WORLD,DM_BOUNDARY_NONE,DM_BOUNDARY_NONE,DM_BOUNDARY_NONE,DMDA_STENCIL_STAR,user.coarse.mx,user.coarse.my,user.coarse.mz,PETSC_DECIDE,PETSC_DECIDE,PETSC_DECIDE,1,1,NULL,NULL,NULL,&user.coarse.da);CHKERRQ(ierr);
  }
  ierr = DMSetFromOptions(user.coarse.da);CHKERRQ(ierr);
  ierr = DMSetUp(user.coarse.da);CHKERRQ(ierr);

  /* Create interpolation between the fine and coarse grids */
  ierr = DMCreateInterpolation(user.coarse.da,user.fine.da,&P,NULL);CHKERRQ(ierr);

  /* Get R = P^T */
  ierr = MatTranspose(P,MAT_INITIAL_MATRIX,&R);CHKERRQ(ierr);

  /* C = R*A*P */
  ierr = MatMatMatMult(R,A,P,MAT_INITIAL_MATRIX,fill,&C);CHKERRQ(ierr);
  ierr = MatMatMatMult(R,A,P,MAT_REUSE_MATRIX,fill,&C);CHKERRQ(ierr);

  /* Test C == PtAP */
  ierr = MatPtAP(A,P,MAT_INITIAL_MATRIX,fill,&PtAP);CHKERRQ(ierr);
  ierr = MatPtAP(A,P,MAT_REUSE_MATRIX,fill,&PtAP);CHKERRQ(ierr);
  ierr = MatEqual(C,PtAP,&flg);CHKERRQ(ierr);
  if (!flg) SETERRQ(PETSC_COMM_WORLD,PETSC_ERR_PLIB,"Matrices are not equal");
  ierr = MatDestroy(&PtAP);CHKERRQ(ierr);

  /* Clean up */
  ierr = MatDestroy(&A);CHKERRQ(ierr);
  ierr = PetscRandomDestroy(&rdm);CHKERRQ(ierr);
  ierr = DMDestroy(&user.fine.da);CHKERRQ(ierr);
  ierr = DMDestroy(&user.coarse.da);CHKERRQ(ierr);
  ierr = MatDestroy(&P);CHKERRQ(ierr);
  ierr = MatDestroy(&R);CHKERRQ(ierr);
  ierr = MatDestroy(&C);CHKERRQ(ierr);
  ierr = PetscFinalize();
  return ierr;
}