Example #1
0
int main(int argc,char **argv) {
  Mat            A,B,As;
  const PetscInt *ai,*aj;
  PetscInt       i,j,k,nz,n,asi[]={0,2,3,4,6,7};
  PetscInt       asj[]={0,4,1,2,3,4,4};
  PetscScalar    asa[7],*aa;
  PetscRandom    rctx;
  PetscErrorCode ierr;
  PetscMPIInt    size;
  PetscBool      flg;

  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_SUP,"This is a uniprocessor example only!");

  /* Create a aij matrix for checking */
  ierr = MatCreateSeqAIJ(PETSC_COMM_SELF,5,5,2,PETSC_NULL,&A);CHKERRQ(ierr);
  ierr = PetscRandomCreate(PETSC_COMM_WORLD,&rctx);CHKERRQ(ierr);
  ierr = PetscRandomSetFromOptions(rctx);CHKERRQ(ierr);

  k = 0;
  for (i=0; i<5; i++) {
    nz = asi[i+1] - asi[i];  /* length of i_th row of A */
    for (j=0; j<nz; j++){
      ierr = PetscRandomGetValue(rctx,&asa[k]);CHKERRQ(ierr);
      ierr = MatSetValues(A,1,&i,1,&asj[k],&asa[k],INSERT_VALUES);CHKERRQ(ierr);
      ierr = MatSetValues(A,1,&i,1,&asj[k],&asa[k],INSERT_VALUES);CHKERRQ(ierr);
      if (i != asj[k]){ /* insert symmetric entry */
        ierr = MatSetValues(A,1,&asj[k],1,&i,&asa[k],INSERT_VALUES);CHKERRQ(ierr);
      }
      k++;
    }
  }
  ierr = MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);

  /* Create a baij matrix using MatCreateSeqBAIJWithArrays() */
  ierr = MatGetRowIJ(A,0,PETSC_FALSE,PETSC_FALSE,&n,&ai,&aj,&flg);CHKERRQ(ierr);
  ierr = MatSeqAIJGetArray(A,&aa);CHKERRQ(ierr);
  /* WARNING: This sharing is dangerous if either A or B is later assembled */
  ierr = MatCreateSeqBAIJWithArrays(PETSC_COMM_SELF,1,5,5,(PetscInt*)ai,(PetscInt*)aj,aa,&B);CHKERRQ(ierr);
  ierr = MatSeqAIJRestoreArray(A,&aa);CHKERRQ(ierr);
  ierr = MatRestoreRowIJ(A,0,PETSC_FALSE,PETSC_FALSE,&n,&ai,&aj,&flg);CHKERRQ(ierr);
  ierr = MatMultEqual(A,B,10,&flg);CHKERRQ(ierr);
  if (!flg) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_NOTSAMETYPE,"MatMult(A,B) are NOT equal");

  /* Create a sbaij matrix using MatCreateSeqSBAIJWithArrays() */
  ierr = MatCreateSeqSBAIJWithArrays(PETSC_COMM_SELF,1,5,5,asi,asj,asa,&As);CHKERRQ(ierr);
  ierr = MatMultEqual(A,As,10,&flg);CHKERRQ(ierr);
  if (!flg) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_NOTSAMETYPE,"MatMult(A,As) are NOT equal");

  /* Free spaces */
  ierr = PetscRandomDestroy(&rctx);CHKERRQ(ierr);
  ierr = MatDestroy(&A);CHKERRQ(ierr);
  ierr = MatDestroy(&B);CHKERRQ(ierr);
  ierr = MatDestroy(&As);CHKERRQ(ierr);
  ierr = PetscFinalize();
  return(0);
}
Example #2
0
int main(int argc,char **args)
{
  Mat            A,B,MA;
  PetscViewer    fd;
  char           file[PETSC_MAX_PATH_LEN];
  PetscInt       m,n,M,N,dof=1;
  PetscMPIInt    rank,size;
  PetscErrorCode ierr;
  PetscBool      flg;

  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);

#if defined(PETSC_USE_COMPLEX)
  SETERRQ(PETSC_COMM_WORLD,1,"This example does not work with complex numbers");
#else

  /* Load aij matrix A */
  ierr = PetscOptionsGetString(NULL,"-f",file,PETSC_MAX_PATH_LEN,&flg);CHKERRQ(ierr);
  if (!flg) SETERRQ(PETSC_COMM_WORLD,PETSC_ERR_USER,"Must indicate binary file with the -f option");
  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);

  /* Get dof, then create maij matrix MA */
  ierr = PetscOptionsGetInt(NULL,"-dof",&dof,NULL);CHKERRQ(ierr);
  ierr = MatCreateMAIJ(A,dof,&MA);CHKERRQ(ierr);
  ierr = MatGetLocalSize(MA,&m,&n);CHKERRQ(ierr);
  ierr = MatGetSize(MA,&M,&N);CHKERRQ(ierr);

  if (size == 1) {
    ierr = MatConvert(MA,MATSEQAIJ,MAT_INITIAL_MATRIX,&B);CHKERRQ(ierr);
  } else {
    ierr = MatConvert(MA,MATMPIAIJ,MAT_INITIAL_MATRIX,&B);CHKERRQ(ierr);
  }

  /* Test MatMult() */
  ierr = MatMultEqual(MA,B,10,&flg);CHKERRQ(ierr);
  if (!flg) SETERRQ(PETSC_COMM_WORLD,PETSC_ERR_CONV_FAILED,"Error: MatMul() for MAIJ matrix");
  /* Test MatMultAdd() */
  ierr = MatMultAddEqual(MA,B,10,&flg);CHKERRQ(ierr);
  if (!flg) SETERRQ(PETSC_COMM_WORLD,PETSC_ERR_CONV_FAILED,"Error: MatMulAdd() for MAIJ matrix");

  /* Test MatMultTranspose() */
  ierr = MatMultTransposeEqual(MA,B,10,&flg);CHKERRQ(ierr);
  if (!flg) SETERRQ(PETSC_COMM_WORLD,PETSC_ERR_CONV_FAILED,"Error: MatMulAdd() for MAIJ matrix");

  /* Test MatMultTransposeAdd() */
  ierr = MatMultTransposeAddEqual(MA,B,10,&flg);CHKERRQ(ierr);
  if (!flg) SETERRQ(PETSC_COMM_WORLD,PETSC_ERR_CONV_FAILED,"Error: MatMulTransposeAdd() for MAIJ matrix");

  ierr = MatDestroy(&MA);CHKERRQ(ierr);
  ierr = MatDestroy(&A);CHKERRQ(ierr);
  ierr = MatDestroy(&B);CHKERRQ(ierr);
  ierr = PetscFinalize();
#endif
  return 0;
}
Example #3
0
PetscErrorCode CheckMat(Mat A, Mat B, PetscBool usemult, const char* func)
{
  Mat            Bcheck;
  PetscReal      error;
  PetscErrorCode ierr;

  PetscFunctionBeginUser;
  if (!usemult) {
    if (B) {
      MatType Btype;

      ierr = MatGetType(B,&Btype);CHKERRQ(ierr);
      ierr = MatConvert(A,Btype,MAT_INITIAL_MATRIX,&Bcheck);CHKERRQ(ierr);
    } else {
      ierr = MatConvert(A,MATAIJ,MAT_INITIAL_MATRIX,&Bcheck);CHKERRQ(ierr);
    }
    if (B) { /* if B is present, subtract it */
      ierr = MatAXPY(Bcheck,-1.,B,DIFFERENT_NONZERO_PATTERN);CHKERRQ(ierr);
    }
    ierr = MatNorm(Bcheck,NORM_INFINITY,&error);CHKERRQ(ierr);
    if (error > PETSC_SQRT_MACHINE_EPSILON) {
      ISLocalToGlobalMapping rl2g,cl2g;

      ierr = PetscObjectSetName((PetscObject)Bcheck,"Assembled Bcheck");CHKERRQ(ierr);
      ierr = MatView(Bcheck,NULL);CHKERRQ(ierr);
      if (B) {
        ierr = PetscObjectSetName((PetscObject)B,"Assembled AIJ");CHKERRQ(ierr);
        ierr = MatView(B,NULL);CHKERRQ(ierr);
        ierr = MatDestroy(&Bcheck);CHKERRQ(ierr);
        ierr = MatConvert(A,MATAIJ,MAT_INITIAL_MATRIX,&Bcheck);CHKERRQ(ierr);
        ierr = PetscObjectSetName((PetscObject)Bcheck,"Assembled IS");CHKERRQ(ierr);
        ierr = MatView(Bcheck,NULL);CHKERRQ(ierr);
      }
      ierr = MatDestroy(&Bcheck);CHKERRQ(ierr);
      ierr = PetscObjectSetName((PetscObject)A,"MatIS");CHKERRQ(ierr);
      ierr = MatView(A,NULL);CHKERRQ(ierr);
      ierr = MatGetLocalToGlobalMapping(A,&rl2g,&cl2g);CHKERRQ(ierr);
      ierr = ISLocalToGlobalMappingView(rl2g,NULL);CHKERRQ(ierr);
      ierr = ISLocalToGlobalMappingView(cl2g,NULL);CHKERRQ(ierr);
      SETERRQ2(PETSC_COMM_WORLD,PETSC_ERR_PLIB,"ERROR ON %s: %g",func,error);
    }
    ierr = MatDestroy(&Bcheck);CHKERRQ(ierr);
  } else {
    PetscBool ok,okt;

    ierr = MatMultEqual(A,B,3,&ok);CHKERRQ(ierr);
    ierr = MatMultTransposeEqual(A,B,3,&okt);CHKERRQ(ierr);
    if (!ok || !okt) SETERRQ3(PETSC_COMM_WORLD,PETSC_ERR_PLIB,"ERROR ON %s: mult ok ?  %d, multtranspose ok ? %d",func,ok,okt);
  }
  PetscFunctionReturn(0);
}
Example #4
0
File: ex75.c Project: 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;
}
Example #5
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;
}
Example #6
0
File: ex55.c Project: 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;
}
Example #7
0
int main(int argc,char **args)
{
  Vec            x,y,b;
  Mat            A;           /* linear system matrix */
  Mat            sA,sC;       /* symmetric part of the matrices */
  PetscInt       n,mbs=16,bs=1,nz=3,prob=1,i,j,col[3],block, row,Ii,J,n1,lvl;
  PetscErrorCode ierr;
  PetscMPIInt    size;
  PetscReal      norm2,tol=1.e-10,err[10];
  PetscScalar    neg_one = -1.0,four=4.0,value[3];
  IS             perm,cperm;
  PetscRandom    rdm;
  PetscBool      reorder = PETSC_FALSE,displ = PETSC_FALSE;
  MatFactorInfo  factinfo;
  PetscBool      equal;
  PetscBool      TestAIJ = PETSC_FALSE,TestBAIJ = PETSC_TRUE;
  PetscInt       TestShift=0;

  ierr = PetscInitialize(&argc,&args,(char*)0,help);if (ierr) return ierr;
  ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRQ(ierr);
  if (size != 1) SETERRQ(PETSC_COMM_WORLD,1,"This is a uniprocessor example only!");
  ierr = PetscOptionsGetInt(NULL,NULL,"-bs",&bs,NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetInt(NULL,NULL,"-mbs",&mbs,NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetBool(NULL,NULL,"-reorder",&reorder,NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetBool(NULL,NULL,"-testaij",&TestAIJ,NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetInt(NULL,NULL,"-testShift",&TestShift,NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetBool(NULL,NULL,"-displ",&displ,NULL);CHKERRQ(ierr);

  n = mbs*bs;
  if (TestAIJ) { /* A is in aij format */
    ierr     = MatCreateSeqAIJ(PETSC_COMM_WORLD,n,n,nz,NULL,&A);CHKERRQ(ierr);
    TestBAIJ = PETSC_FALSE;
  } else { /* A is in baij format */
    ierr    =MatCreateSeqBAIJ(PETSC_COMM_WORLD,bs,n,n,nz,NULL,&A);CHKERRQ(ierr);
    TestAIJ = PETSC_FALSE;
  }

  /* Assemble matrix */
  if (bs == 1) {
    ierr = PetscOptionsGetInt(NULL,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);
      }
      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 = (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);
          }
          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);
        }
      }
    }
  } 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);
    }
  }

  if (TestShift) {
    /* set diagonals in the 0-th block as 0 for testing shift numerical factor */
    for (i=0; i<bs; i++) {
      row  = i; col[0] = i; value[0] = 0.0;
      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 MatConvert */
  ierr = MatSetOption(A,MAT_SYMMETRIC,PETSC_TRUE);CHKERRQ(ierr);
  ierr = MatConvert(A,MATSEQSBAIJ,MAT_INITIAL_MATRIX,&sA);CHKERRQ(ierr);
  ierr = MatMultEqual(A,sA,20,&equal);CHKERRQ(ierr);
  if (!equal) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_USER,"A != sA");

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

  /* Vectors */
  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,&b);CHKERRQ(ierr);
  ierr = VecDuplicate(x,&y);CHKERRQ(ierr);
  ierr = VecSetRandom(x,rdm);CHKERRQ(ierr);

  /* Test MatReordering() - not work on sbaij matrix */
  if (reorder) {
    ierr = MatGetOrdering(A,MATORDERINGRCM,&perm,&cperm);CHKERRQ(ierr);
  } else {
    ierr = MatGetOrdering(A,MATORDERINGNATURAL,&perm,&cperm);CHKERRQ(ierr);
  }
  ierr = ISDestroy(&cperm);CHKERRQ(ierr);

  /* initialize factinfo */
  ierr = MatFactorInfoInitialize(&factinfo);CHKERRQ(ierr);
  if (TestShift == 1) {
    factinfo.shifttype   = (PetscReal)MAT_SHIFT_NONZERO;
    factinfo.shiftamount = 0.1;
  } else if (TestShift == 2) {
    factinfo.shifttype = (PetscReal)MAT_SHIFT_POSITIVE_DEFINITE;
  }

  /* Test MatCholeskyFactor(), MatICCFactor() */
  /*------------------------------------------*/
  /* Test aij matrix A */
  if (TestAIJ) {
    if (displ) {
      ierr = PetscPrintf(PETSC_COMM_WORLD,"AIJ: \n");CHKERRQ(ierr);
    }
    i = 0;
    for (lvl=-1; lvl<10; lvl++) {
      if (lvl==-1) {  /* Cholesky factor */
        factinfo.fill = 5.0;

        ierr = MatGetFactor(A,MATSOLVERPETSC,MAT_FACTOR_CHOLESKY,&sC);CHKERRQ(ierr);
        ierr = MatCholeskyFactorSymbolic(sC,A,perm,&factinfo);CHKERRQ(ierr);
      } else {       /* incomplete Cholesky factor */
        factinfo.fill   = 5.0;
        factinfo.levels = lvl;

        ierr = MatGetFactor(A,MATSOLVERPETSC,MAT_FACTOR_ICC,&sC);CHKERRQ(ierr);
        ierr = MatICCFactorSymbolic(sC,A,perm,&factinfo);CHKERRQ(ierr);
      }
      ierr = MatCholeskyFactorNumeric(sC,A,&factinfo);CHKERRQ(ierr);

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

      if (displ) {
        ierr = PetscPrintf(PETSC_COMM_WORLD,"  lvl: %D, error: %g\n", lvl,(double)norm2);CHKERRQ(ierr);
      }
      err[i++] = norm2;
    }
  }

  /* Test baij matrix A */
  if (TestBAIJ) {
    if (displ) {
      ierr = PetscPrintf(PETSC_COMM_WORLD,"BAIJ: \n");CHKERRQ(ierr);
    }
    i = 0;
    for (lvl=-1; lvl<10; lvl++) {
      if (lvl==-1) {  /* Cholesky factor */
        factinfo.fill = 5.0;

        ierr = MatGetFactor(A,MATSOLVERPETSC,MAT_FACTOR_CHOLESKY,&sC);CHKERRQ(ierr);
        ierr = MatCholeskyFactorSymbolic(sC,A,perm,&factinfo);CHKERRQ(ierr);
      } else {       /* incomplete Cholesky factor */
        factinfo.fill   = 5.0;
        factinfo.levels = lvl;

        ierr = MatGetFactor(A,MATSOLVERPETSC,MAT_FACTOR_ICC,&sC);CHKERRQ(ierr);
        ierr = MatICCFactorSymbolic(sC,A,perm,&factinfo);CHKERRQ(ierr);
      }
      ierr = MatCholeskyFactorNumeric(sC,A,&factinfo);CHKERRQ(ierr);

      ierr = MatMult(A,x,b);CHKERRQ(ierr);
      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);
      if (displ) {
        ierr = PetscPrintf(PETSC_COMM_WORLD,"  lvl: %D, error: %g\n", lvl,(double)norm2);CHKERRQ(ierr);
      }
      err[i++] = norm2;
    }
  }

  /* Test sbaij matrix sA */
  if (displ) {
    ierr = PetscPrintf(PETSC_COMM_WORLD,"SBAIJ: \n");CHKERRQ(ierr);
  }
  i = 0;
  for (lvl=-1; lvl<10; lvl++) {
    if (lvl==-1) {  /* Cholesky factor */
      factinfo.fill = 5.0;

      ierr = MatGetFactor(sA,MATSOLVERPETSC,MAT_FACTOR_CHOLESKY,&sC);CHKERRQ(ierr);
      ierr = MatCholeskyFactorSymbolic(sC,sA,perm,&factinfo);CHKERRQ(ierr);
    } else {       /* incomplete Cholesky factor */
      factinfo.fill   = 5.0;
      factinfo.levels = lvl;

      ierr = MatGetFactor(sA,MATSOLVERPETSC,MAT_FACTOR_ICC,&sC);CHKERRQ(ierr);
      ierr = MatICCFactorSymbolic(sC,sA,perm,&factinfo);CHKERRQ(ierr);
    }
    ierr = MatCholeskyFactorNumeric(sC,sA,&factinfo);CHKERRQ(ierr);

    if (lvl==0 && bs==1) { /* Test inplace ICC(0) for sbaij sA - does not work for new datastructure */
      /*
        Mat B;
        ierr = MatDuplicate(sA,MAT_COPY_VALUES,&B);CHKERRQ(ierr);
        ierr = MatICCFactor(B,perm,&factinfo);CHKERRQ(ierr);
        ierr = MatEqual(sC,B,&equal);CHKERRQ(ierr);
        if (!equal) {
          SETERRQ(PETSC_COMM_SELF,PETSC_ERR_USER,"in-place Cholesky factor != out-place Cholesky factor");
        }
        ierr = MatDestroy(&B);CHKERRQ(ierr);
      */
    }


    ierr = MatMult(sA,x,b);CHKERRQ(ierr);
    ierr = MatSolve(sC,b,y);CHKERRQ(ierr);

    /* Test MatSolves() */
    if (bs == 1) {
      Vecs xx,bb;
      ierr = VecsCreateSeq(PETSC_COMM_SELF,n,4,&xx);CHKERRQ(ierr);
      ierr = VecsDuplicate(xx,&bb);CHKERRQ(ierr);
      ierr = MatSolves(sC,bb,xx);CHKERRQ(ierr);
      ierr = VecsDestroy(xx);CHKERRQ(ierr);
      ierr = VecsDestroy(bb);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);
    if (displ) {
      ierr = PetscPrintf(PETSC_COMM_WORLD,"  lvl: %D, error: %g\n", lvl,(double)norm2);CHKERRQ(ierr);
    }
    err[i] -= norm2;
    if (err[i] > tol) SETERRQ2(PETSC_COMM_WORLD,PETSC_ERR_USER," level: %d, err: %g\n", lvl,(double)err[i]);
  }

  ierr = ISDestroy(&perm);CHKERRQ(ierr);
  ierr = MatDestroy(&A);CHKERRQ(ierr);
  ierr = MatDestroy(&sA);CHKERRQ(ierr);
  ierr = VecDestroy(&x);CHKERRQ(ierr);
  ierr = VecDestroy(&y);CHKERRQ(ierr);
  ierr = VecDestroy(&b);CHKERRQ(ierr);
  ierr = PetscRandomDestroy(&rdm);CHKERRQ(ierr);

  ierr = PetscFinalize();
  return ierr;
}
Example #8
0
int main(int argc,char **args)
{
  Mat            C,Caij;
  PetscInt       i,j,m = 5,n,nrows,ncols;
  const PetscInt *rows,*cols;
  IS             isrows,iscols;
  PetscErrorCode ierr;
  PetscBool      flg,Test_MatMatMult=PETSC_FALSE,mats_view=PETSC_FALSE;
  PetscScalar    *v;
  PetscMPIInt    rank,size;

  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 = PetscOptionsHasName(NULL,"-mats_view",&mats_view);CHKERRQ(ierr);

  /* Get local block or element size*/
  ierr = PetscOptionsGetInt(NULL,"-m",&m,NULL);CHKERRQ(ierr);
  n    = m;
  ierr = PetscOptionsGetInt(NULL,"-n",&n,NULL);CHKERRQ(ierr);

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

  ierr = PetscOptionsHasName(NULL,"-row_oriented",&flg);CHKERRQ(ierr);
  if (flg) {ierr = MatSetOption(C,MAT_ROW_ORIENTED,PETSC_TRUE);CHKERRQ(ierr);}
  ierr = MatGetOwnershipIS(C,&isrows,&iscols);CHKERRQ(ierr);
  ierr = PetscOptionsHasName(NULL,"-Cexp_view_ownership",&flg);CHKERRQ(ierr);
  if (flg) { /* View ownership of explicit C */
    IS tmp;
    ierr = PetscPrintf(PETSC_COMM_WORLD,"Ownership of explicit C:\n");CHKERRQ(ierr);
    ierr = PetscPrintf(PETSC_COMM_WORLD,"Row index set:\n");CHKERRQ(ierr);
    ierr = ISOnComm(isrows,PETSC_COMM_WORLD,PETSC_USE_POINTER,&tmp);CHKERRQ(ierr);
    ierr = ISView(tmp,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
    ierr = ISDestroy(&tmp);CHKERRQ(ierr);
    ierr = PetscPrintf(PETSC_COMM_WORLD,"Column index set:\n");CHKERRQ(ierr);
    ierr = ISOnComm(iscols,PETSC_COMM_WORLD,PETSC_USE_POINTER,&tmp);CHKERRQ(ierr);
    ierr = ISView(tmp,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
    ierr = ISDestroy(&tmp);CHKERRQ(ierr);
  }

  /* Set local matrix entries */
  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++) {
      /*v[i*ncols+j] = (PetscReal)(rank);*/
      v[i*ncols+j] = (PetscReal)(rank*10000+100*rows[i]+cols[j]);
    }
  }
  ierr = MatSetValues(C,nrows,rows,ncols,cols,v,INSERT_VALUES);CHKERRQ(ierr);
  ierr = ISRestoreIndices(isrows,&rows);CHKERRQ(ierr);
  ierr = ISRestoreIndices(iscols,&cols);CHKERRQ(ierr);
  ierr = MatAssemblyBegin(C,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(C,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);

  /* Test MatView() */
  if (mats_view) {
    ierr = MatView(C,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
  }

  /* Set unowned matrix entries - add subdiagonals and diagonals from proc[0] */
  if (!rank) {
    PetscInt M,N,cols[2];
    ierr = MatGetSize(C,&M,&N);CHKERRQ(ierr);
    for (i=0; i<M; i++) {
      cols[0] = i;   v[0] = i + 0.5;
      cols[1] = i-1; v[1] = 0.5;
      if (i) {
        ierr = MatSetValues(C,1,&i,2,cols,v,ADD_VALUES);CHKERRQ(ierr);
      } else {
        ierr = MatSetValues(C,1,&i,1,&i,v,ADD_VALUES);CHKERRQ(ierr);
      }
    }
  }
  ierr = MatAssemblyBegin(C,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(C,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);

  /* Test MatMult() */
  ierr = MatComputeExplicitOperator(C,&Caij);CHKERRQ(ierr);
  ierr = MatMultEqual(C,Caij,5,&flg);CHKERRQ(ierr);
  if (!flg) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_NOTSAMETYPE,"C != Caij. MatMultEqual() fails");
  ierr = MatMultTransposeEqual(C,Caij,5,&flg);CHKERRQ(ierr);
  if (!flg) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_NOTSAMETYPE,"C != Caij. MatMultTransposeEqual() fails");

  /* Test MatMultAdd() and MatMultTransposeAddEqual() */
  ierr = MatMultAddEqual(C,Caij,5,&flg);CHKERRQ(ierr);
  if (!flg) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_NOTSAMETYPE,"C != Caij. MatMultAddEqual() fails");
  ierr = MatMultTransposeAddEqual(C,Caij,5,&flg);CHKERRQ(ierr);
  if (!flg) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_NOTSAMETYPE,"C != Caij. MatMultTransposeAddEqual() fails");

  /* Test MatMatMult() */
  ierr = PetscOptionsHasName(NULL,"-test_matmatmult",&Test_MatMatMult);CHKERRQ(ierr);
  if (Test_MatMatMult) {
    Mat CCelem,CCaij;
    ierr = MatMatMult(C,C,MAT_INITIAL_MATRIX,PETSC_DEFAULT,&CCelem);CHKERRQ(ierr);
    ierr = MatMatMult(Caij,Caij,MAT_INITIAL_MATRIX,PETSC_DEFAULT,&CCaij);CHKERRQ(ierr);
    ierr = MatMultEqual(CCelem,CCaij,5,&flg);CHKERRQ(ierr);
    if (!flg) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_NOTSAMETYPE,"CCelem != CCaij. MatMatMult() fails");
    ierr = MatDestroy(&CCaij);CHKERRQ(ierr);
    ierr = MatDestroy(&CCelem);CHKERRQ(ierr);
  }

  ierr = PetscFree(v);CHKERRQ(ierr);
  ierr = ISDestroy(&isrows);CHKERRQ(ierr);
  ierr = ISDestroy(&iscols);CHKERRQ(ierr);
  ierr = MatDestroy(&C);CHKERRQ(ierr);
  ierr = MatDestroy(&Caij);CHKERRQ(ierr);
  ierr = PetscFinalize();
  return 0;
}
Example #9
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;
}
Example #10
0
int main(int argc,char **args)
{
  Mat             A,B;
  Vec             xx,s1,s2,yy;
  PetscErrorCode ierr;
  PetscInt        m=45,rows[2],cols[2],bs=1,i,row,col,*idx,M; 
  PetscScalar     rval,vals1[4],vals2[4];
  PetscRandom     rdm;
  IS              is1,is2;
  PetscReal       s1norm,s2norm,rnorm,tol = 1.e-4;
  PetscTruth      flg;
  MatFactorInfo   info;
  
  PetscInitialize(&argc,&args,(char *)0,help);
  
  /* Test MatSetValues() and MatGetValues() */
  ierr = PetscOptionsGetInt(PETSC_NULL,"-mat_block_size",&bs,PETSC_NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetInt(PETSC_NULL,"-mat_size",&m,PETSC_NULL);CHKERRQ(ierr);
  M    = m*bs;
  ierr = MatCreateSeqBAIJ(PETSC_COMM_SELF,bs,M,M,1,PETSC_NULL,&A);CHKERRQ(ierr);
  ierr = MatCreateSeqAIJ(PETSC_COMM_SELF,M,M,15,PETSC_NULL,&B);CHKERRQ(ierr);
  ierr = PetscRandomCreate(PETSC_COMM_SELF,&rdm);CHKERRQ(ierr);
  ierr = PetscRandomSetFromOptions(rdm);CHKERRQ(ierr);
  ierr = VecCreateSeq(PETSC_COMM_SELF,M,&xx);CHKERRQ(ierr);
  ierr = VecDuplicate(xx,&s1);CHKERRQ(ierr);
  ierr = VecDuplicate(xx,&s2);CHKERRQ(ierr);
  ierr = VecDuplicate(xx,&yy);CHKERRQ(ierr);
  
  /* For each row add atleast 15 elements */
  for (row=0; row<M; row++) {
    for (i=0; i<25*bs; i++) {
      ierr = PetscRandomGetValue(rdm,&rval);CHKERRQ(ierr);
      col  = (PetscInt)(PetscRealPart(rval)*M);
      ierr = MatSetValues(A,1,&row,1,&col,&rval,INSERT_VALUES);CHKERRQ(ierr);
      ierr = MatSetValues(B,1,&row,1,&col,&rval,INSERT_VALUES);CHKERRQ(ierr);
    }
  }
  
  /* Now set blocks of values */
  for (i=0; i<20*bs; i++) {
    ierr = PetscRandomGetValue(rdm,&rval);CHKERRQ(ierr);
    cols[0] = (PetscInt)(PetscRealPart(rval)*M);
    vals1[0] = rval;
    ierr = PetscRandomGetValue(rdm,&rval);CHKERRQ(ierr);
    cols[1] = (PetscInt)(PetscRealPart(rval)*M);
    vals1[1] = rval;
    ierr = PetscRandomGetValue(rdm,&rval);CHKERRQ(ierr);
    rows[0] = (PetscInt)(PetscRealPart(rval)*M);
    vals1[2] = rval;
    ierr = PetscRandomGetValue(rdm,&rval);CHKERRQ(ierr);
    rows[1] = (PetscInt)(PetscRealPart(rval)*M);
    vals1[3] = rval;
    ierr = MatSetValues(A,2,rows,2,cols,vals1,INSERT_VALUES);CHKERRQ(ierr);
    ierr = MatSetValues(B,2,rows,2,cols,vals1,INSERT_VALUES);CHKERRQ(ierr);
  }
  
  ierr = MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  
  /* Test MatNorm() */
  ierr = MatNorm(A,NORM_FROBENIUS,&s1norm);CHKERRQ(ierr);
  ierr = MatNorm(B,NORM_FROBENIUS,&s2norm);CHKERRQ(ierr);
  rnorm = PetscAbsScalar(s2norm-s1norm)/s2norm;
  if ( rnorm>tol ) { 
    ierr = PetscPrintf(PETSC_COMM_SELF,"Error: MatNorm_FROBENIUS()- NormA=%16.14e NormB=%16.14e bs = %D\n",s1norm,s2norm,bs);CHKERRQ(ierr);
  }
  ierr = MatNorm(A,NORM_INFINITY,&s1norm);CHKERRQ(ierr);
  ierr = MatNorm(B,NORM_INFINITY,&s2norm);CHKERRQ(ierr);
  rnorm = PetscAbsScalar(s2norm-s1norm)/s2norm;
  if ( rnorm>tol ) { 
    ierr = PetscPrintf(PETSC_COMM_SELF,"Error: MatNorm_INFINITY()- NormA=%16.14e NormB=%16.14e bs = %D\n",s1norm,s2norm,bs);CHKERRQ(ierr);
  }
  ierr = MatNorm(A,NORM_1,&s1norm);CHKERRQ(ierr);
  ierr = MatNorm(B,NORM_1,&s2norm);CHKERRQ(ierr);
  rnorm = PetscAbsScalar(s2norm-s1norm)/s2norm;
  if ( rnorm>tol ) { 
    ierr = PetscPrintf(PETSC_COMM_SELF,"Error: MatNorm_NORM_1()- NormA=%16.14e NormB=%16.14e bs = %D\n",s1norm,s2norm,bs);CHKERRQ(ierr);
  }

  /* MatShift() */
  rval = 10*s1norm;
  ierr = MatShift(A,rval);CHKERRQ(ierr);
  ierr = MatShift(B,rval);CHKERRQ(ierr);

  /* Test MatTranspose() */
  ierr = MatTranspose(A,MAT_REUSE_MATRIX,&A);CHKERRQ(ierr);
  ierr = MatTranspose(B,MAT_REUSE_MATRIX,&B);CHKERRQ(ierr);

  /* Now do MatGetValues()  */
  for (i=0; i<30; i++) {
    ierr = PetscRandomGetValue(rdm,&rval);CHKERRQ(ierr);
    cols[0] = (PetscInt)(PetscRealPart(rval)*M);
    ierr = PetscRandomGetValue(rdm,&rval);CHKERRQ(ierr);
    cols[1] = (PetscInt)(PetscRealPart(rval)*M);
    ierr = PetscRandomGetValue(rdm,&rval);CHKERRQ(ierr);
    rows[0] = (PetscInt)(PetscRealPart(rval)*M);
    ierr = PetscRandomGetValue(rdm,&rval);CHKERRQ(ierr);
    rows[1] = (PetscInt)(PetscRealPart(rval)*M);
    ierr = MatGetValues(A,2,rows,2,cols,vals1);CHKERRQ(ierr);
    ierr = MatGetValues(B,2,rows,2,cols,vals2);CHKERRQ(ierr);
    ierr = PetscMemcmp(vals1,vals2,4*sizeof(PetscScalar),&flg);CHKERRQ(ierr);
    if (!flg) {
      ierr = PetscPrintf(PETSC_COMM_SELF,"Error: MatGetValues bs = %D\n",bs);CHKERRQ(ierr);
    }
  }
  
  /* Test MatMult(), MatMultAdd() */
  for (i=0; i<40; i++) {
    ierr = VecSetRandom(xx,rdm);CHKERRQ(ierr);
    ierr = VecSet(s2,0.0);CHKERRQ(ierr);
    ierr = MatMult(A,xx,s1);CHKERRQ(ierr);
    ierr = MatMultAdd(A,xx,s2,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,"MatMult not equal to MatMultAdd Norm1=%e Norm2=%e bs = %D\n",s1norm,s2norm,bs);CHKERRQ(ierr);
    }
  }

  /* Test MatMult() */
  ierr = MatMultEqual(A,B,10,&flg);CHKERRQ(ierr);
  if (!flg){
    ierr = PetscPrintf(PETSC_COMM_SELF,"Error: MatMult()\n");CHKERRQ(ierr);
  }
  
  /* Test MatMultAdd() */
  ierr = MatMultAddEqual(A,B,10,&flg);CHKERRQ(ierr);
  if (!flg){
    ierr = PetscPrintf(PETSC_COMM_SELF,"Error: MatMultAdd()\n");CHKERRQ(ierr);
  }
  
  /* Test MatMultTranspose() */
  ierr = MatMultTransposeEqual(A,B,10,&flg);CHKERRQ(ierr);
  if (!flg){
    ierr = PetscPrintf(PETSC_COMM_SELF,"Error: MatMultTranspose()\n");CHKERRQ(ierr);
  }

  /* Test MatMultTransposeAdd() */
  ierr = MatMultTransposeAddEqual(A,B,10,&flg);CHKERRQ(ierr);
  if (!flg){
    ierr = PetscPrintf(PETSC_COMM_SELF,"Error: MatMultTransposeAdd()\n");CHKERRQ(ierr);
  }

  /* Do LUFactor() on both the matrices */
  ierr = PetscMalloc(M*sizeof(PetscInt),&idx);CHKERRQ(ierr);
  for (i=0; i<M; i++) idx[i] = i;
  ierr = ISCreateGeneral(PETSC_COMM_SELF,M,idx,&is1);CHKERRQ(ierr);
  ierr = ISCreateGeneral(PETSC_COMM_SELF,M,idx,&is2);CHKERRQ(ierr);
  ierr = PetscFree(idx);CHKERRQ(ierr);
  ierr = ISSetPermutation(is1);CHKERRQ(ierr);
  ierr = ISSetPermutation(is2);CHKERRQ(ierr);

  ierr = MatFactorInfoInitialize(&info);CHKERRQ(ierr);   
  info.fill      = 2.0;
  info.dtcol     = 0.0; 
  info.zeropivot = 1.e-14; 
  info.pivotinblocks = 1.0; 
  ierr = MatLUFactor(B,is1,is2,&info);CHKERRQ(ierr);
  ierr = MatLUFactor(A,is1,is2,&info);CHKERRQ(ierr);
  
  /* Test MatSolveAdd() */
  for (i=0; i<10; i++) {
    ierr = VecSetRandom(xx,rdm);CHKERRQ(ierr);
    ierr = VecSetRandom(yy,rdm);CHKERRQ(ierr);
    ierr = MatSolveAdd(B,xx,yy,s2);CHKERRQ(ierr);
    ierr = MatSolveAdd(A,xx,yy,s1);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:MatSolveAdd - Norm1=%16.14e Norm2=%16.14e bs = %D\n",s1norm,s2norm,bs);CHKERRQ(ierr);
    } 
  }
  
  /* Test MatSolveAdd() when x = A'b +x */
  for (i=0; i<10; i++) {
    ierr = VecSetRandom(xx,rdm);CHKERRQ(ierr);
    ierr = VecSetRandom(s1,rdm);CHKERRQ(ierr);
    ierr = VecCopy(s2,s1);CHKERRQ(ierr);
    ierr = MatSolveAdd(B,xx,s2,s2);CHKERRQ(ierr);
    ierr = MatSolveAdd(A,xx,s1,s1);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:MatSolveAdd(same) - Norm1=%16.14e Norm2=%16.14e bs = %D\n",s1norm,s2norm,bs);CHKERRQ(ierr);
    } 
  }
  
  /* Test MatSolve() */
  for (i=0; i<10; i++) {
    ierr = VecSetRandom(xx,rdm);CHKERRQ(ierr);
    ierr = MatSolve(B,xx,s2);CHKERRQ(ierr);
    ierr = MatSolve(A,xx,s1);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:MatSolve - Norm1=%16.14e Norm2=%16.14e bs = %D\n",s1norm,s2norm,bs);CHKERRQ(ierr);
    } 
  }
  
  /* Test MatSolveTranspose() */
  if (bs < 8) {
    for (i=0; i<10; i++) {
      ierr = VecSetRandom(xx,rdm);CHKERRQ(ierr);
      ierr = MatSolveTranspose(B,xx,s2);CHKERRQ(ierr);
      ierr = MatSolveTranspose(A,xx,s1);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:MatSolveTranspose - Norm1=%16.14e Norm2=%16.14e bs = %D\n",s1norm,s2norm,bs);CHKERRQ(ierr);
      }
    } 
  }

  ierr = MatDestroy(A);CHKERRQ(ierr);
  ierr = MatDestroy(B);CHKERRQ(ierr);
  ierr = VecDestroy(xx);CHKERRQ(ierr);
  ierr = VecDestroy(s1);CHKERRQ(ierr);
  ierr = VecDestroy(s2);CHKERRQ(ierr);
  ierr = VecDestroy(yy);CHKERRQ(ierr);
  ierr = ISDestroy(is1);CHKERRQ(ierr);
  ierr = ISDestroy(is2);CHKERRQ(ierr);
  ierr = PetscRandomDestroy(rdm);CHKERRQ(ierr);
  ierr = PetscFinalize();CHKERRQ(ierr);
  return 0;
}
Example #11
0
int main(int argc,char **argv)
{
  Mat            A,B,C,D;
  PetscInt       i,M=10,N=5,j,nrows,ncols,am,an,rstart,rend;
  PetscErrorCode ierr;
  PetscRandom    r;
  PetscBool      equal,iselemental;
  PetscReal      fill = 1.0;
  IS             isrows,iscols;
  const PetscInt *rows,*cols;
  PetscScalar    *v,rval;
#if defined(PETSC_HAVE_ELEMENTAL)
  PetscBool      Test_MatMatMult=PETSC_TRUE;
#else
  PetscBool      Test_MatMatMult=PETSC_FALSE;
#endif
  PetscMPIInt    size;

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

  ierr = PetscOptionsGetInt(NULL,NULL,"-M",&M,NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetInt(NULL,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 = PetscMalloc1(nrows*ncols,&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 = PetscRandomDestroy(&r);CHKERRQ(ierr);

  /* Test MatTranspose() */
  ierr = MatCreateTranspose(A,&C);CHKERRQ(ierr);
  ierr = MatTranspose(A,MAT_INITIAL_MATRIX,&B);CHKERRQ(ierr); /* B = A^T */
  ierr = MatMultEqual(C,B,10,&equal);CHKERRQ(ierr);
  if (!equal) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"A^T*x != (x^T*A)^T");
  ierr = MatTranspose(A,MAT_REUSE_MATRIX,&B);CHKERRQ(ierr); /* B = A^T */
  ierr = MatMultEqual(C,B,10,&equal);CHKERRQ(ierr);
  if (!equal) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"A^T*x != (x^T*A)^T");
  ierr = MatDestroy(&B);CHKERRQ(ierr);
  ierr = MatDuplicate(A,MAT_COPY_VALUES,&B);CHKERRQ(ierr);
  ierr = MatTranspose(B,MAT_INPLACE_MATRIX,&B);CHKERRQ(ierr);
  ierr = MatMultEqual(C,B,10,&equal);CHKERRQ(ierr);
  if (!equal) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"A^T*x != (x^T*A)^T");
  ierr = MatDestroy(&B);CHKERRQ(ierr);
  ierr = MatDestroy(&C);CHKERRQ(ierr);

  /* Test MatMatMult() */
  if (Test_MatMatMult) {
#if !defined(PETSC_HAVE_ELEMENTAL)
    if (size > 1) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"This test requires ELEMENTAL");
#endif
    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 = MatMatMult(B,A,MAT_REUSE_MATRIX,fill,&C);CHKERRQ(ierr);

    /* Test MatDuplicate for matrix product */
    ierr = MatDuplicate(C,MAT_COPY_VALUES,&D);CHKERRQ(ierr);
    ierr = MatDestroy(&D);CHKERRQ(ierr);

    /* Test B*A*x = C*x for n random vector x */
    ierr = MatMatMultEqual(B,A,C,10,&equal);CHKERRQ(ierr);
    if (!equal) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"B*A*x != C*x");
    ierr = MatDestroy(&C);CHKERRQ(ierr);

    ierr = MatMatMultSymbolic(B,A,fill,&C);CHKERRQ(ierr);
    for (i=0; i<2; i++) {
      /* Repeat the numeric product to test reuse of the previous symbolic product */
      ierr = MatMatMultNumeric(B,A,C);CHKERRQ(ierr);

      ierr = MatMatMultEqual(B,A,C,10,&equal);CHKERRQ(ierr);
      if (!equal) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"B*A*x != C*x");
    }
    ierr = MatDestroy(&C);CHKERRQ(ierr);
    ierr = MatDestroy(&B);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 = MatTransposeMatMult(A,A,MAT_REUSE_MATRIX,fill,&D);CHKERRQ(ierr);

    /* Test MatDuplicate for matrix product */
    ierr = MatDuplicate(D,MAT_COPY_VALUES,&C);CHKERRQ(ierr);
    ierr = MatDestroy(&C);CHKERRQ(ierr);

    /* ierr = MatView(D,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr); */
    ierr = MatTransposeMatMultEqual(A,A,D,10,&equal);CHKERRQ(ierr);
    if (!equal) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"D*x != A^T*A*x");
    ierr = MatDestroy(&D);CHKERRQ(ierr);

    /* Test D*x = A^T*C*A*x, where C is in AIJ format */
    ierr = MatGetLocalSize(A,&am,&an);CHKERRQ(ierr);
    ierr = MatCreate(PETSC_COMM_WORLD,&C);CHKERRQ(ierr);
    if (size == 1) {
      ierr = MatSetSizes(C,PETSC_DECIDE,PETSC_DECIDE,am,am);CHKERRQ(ierr);
    } else {
      ierr = MatSetSizes(C,am,am,PETSC_DECIDE,PETSC_DECIDE);CHKERRQ(ierr);
    }
    ierr = MatSetFromOptions(C);CHKERRQ(ierr);
    ierr = MatSetUp(C);CHKERRQ(ierr);
    ierr = MatGetOwnershipRange(C,&rstart,&rend);CHKERRQ(ierr);
    v[0] = 1.0;
    for (i=rstart; i<rend; i++) {
      ierr = MatSetValues(C,1,&i,1,&i,v,INSERT_VALUES);CHKERRQ(ierr);
    }
    ierr = MatAssemblyBegin(C,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
    ierr = MatAssemblyEnd(C,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);

    /* B = C*A, D = A^T*B */
    ierr = MatMatMult(C,A,MAT_INITIAL_MATRIX,1.0,&B);CHKERRQ(ierr);
    ierr = MatTransposeMatMult(A,B,MAT_INITIAL_MATRIX,fill,&D);CHKERRQ(ierr);
    ierr = MatTransposeMatMultEqual(A,B,D,10,&equal);CHKERRQ(ierr);
    if (!equal) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"D*x != A^T*B*x");

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

  ierr = MatDestroy(&A);CHKERRQ(ierr);
  ierr = PetscFree(v);CHKERRQ(ierr);
  ierr = PetscFinalize();
  return ierr;
}
Example #12
0
File: ex104.c Project: 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);
}
Example #13
0
Modified from the code contributed by Yaning Liu @lbl.gov \n\n";
/*
 Example:
   mpiexec -n <np> ./ex103 
   mpiexec -n <np> ./ex103 -mat_type elemental -mat_view
   mpiexec -n <np> ./ex103 -mat_type aij 
*/
    
#include <petscmat.h>

#undef __FUNCT__
#define __FUNCT__ "main"
int main(int argc, char** argv)
{
  Mat            A,A_elemental;
  PetscInt       i,j,M=10,N=5,nrows,ncols;
  PetscErrorCode ierr;
  PetscMPIInt    rank,size;
  IS             isrows,iscols;
  const PetscInt *rows,*cols;
  PetscScalar    *v;
  MatType        type;
  PetscBool      isDense,isAIJ,flg;

  ierr = PetscInitialize(&argc, &argv, (char*)0, help);if (ierr) return ierr;
#if !defined(PETSC_HAVE_ELEMENTAL)
  SETERRQ(PETSC_COMM_WORLD,1,"This example requires ELEMENTAL");
#endif
  ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRQ(ierr);
  ierr = MPI_Comm_rank(PETSC_COMM_WORLD,&rank);CHKERRQ(ierr);

  /* Creat a matrix */
  ierr = PetscOptionsGetInt(NULL,NULL,"-M",&M,NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetInt(NULL,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);

  /* 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 = PetscMalloc1(nrows*ncols,&v);CHKERRQ(ierr);

  for (i=0; i<nrows; i++) {
    for (j=0; j<ncols; j++) {
      if (size == 1) {
        v[i*ncols+j] = (PetscScalar)(i+j);  
      } else {
        v[i*ncols+j] = (PetscScalar)rank+j*0.1;
      }
    }
  }
  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 = PetscSynchronizedPrintf(PETSC_COMM_WORLD,"[%D] local nrows %D, ncols %D\n",rank,nrows,ncols);CHKERRQ(ierr);
  //ierr = PetscSynchronizedFlush(PETSC_COMM_WORLD,PETSC_STDOUT);CHKERRQ(ierr);

  /* Test MatSetValues() by converting A to A_elemental */
  ierr = MatGetType(A,&type);CHKERRQ(ierr);
  if (size == 1) {
    ierr = PetscObjectTypeCompare((PetscObject)A,MATSEQDENSE,&isDense);CHKERRQ(ierr);
    ierr = PetscObjectTypeCompare((PetscObject)A,MATSEQAIJ,&isAIJ);CHKERRQ(ierr);
  } else {
    ierr = PetscObjectTypeCompare((PetscObject)A,MATMPIDENSE,&isDense);CHKERRQ(ierr);
    ierr = PetscObjectTypeCompare((PetscObject)A,MATMPIAIJ,&isAIJ);CHKERRQ(ierr);
  }

  if (isDense || isAIJ) {
    Mat Aexplicit;
    ierr = MatConvert(A, MATELEMENTAL, MAT_INITIAL_MATRIX, &A_elemental);CHKERRQ(ierr);
    ierr = MatComputeExplicitOperator(A_elemental,&Aexplicit);CHKERRQ(ierr);
    ierr = MatMultEqual(Aexplicit,A_elemental,5,&flg);CHKERRQ(ierr); 
    if (!flg) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Aexplicit != A_elemental.");
    ierr = MatDestroy(&Aexplicit);CHKERRQ(ierr); 

    /* Test MAT_REUSE_MATRIX which is only supported for inplace conversion */
    ierr = MatConvert(A, MATELEMENTAL, MAT_INPLACE_MATRIX, &A);CHKERRQ(ierr);
    ierr = MatMultEqual(A_elemental,A,5,&flg);CHKERRQ(ierr);
    if (!flg) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"A_elemental != A.");
    ierr = MatDestroy(&A_elemental);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 = MatDestroy(&A);CHKERRQ(ierr);
  ierr = PetscFinalize();
  return ierr;
}
Example #14
0
File: ex39.c Project: petsc/petsc
int main(int argc,char **args)
{
    Mat            Cdense,B,C,Ct;
    Vec            d;
    PetscInt       i,j,m = 5,n,nrows,ncols;
    const PetscInt *rows,*cols;
    IS             isrows,iscols;
    PetscErrorCode ierr;
    PetscScalar    *v;
    PetscMPIInt    rank,size;
    PetscReal      Cnorm;
    PetscBool      flg,mats_view=PETSC_FALSE;

    ierr = PetscInitialize(&argc,&args,(char*)0,help);
    if (ierr) return ierr;
    ierr = MPI_Comm_rank(PETSC_COMM_WORLD,&rank);
    CHKERRQ(ierr);
    ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);
    CHKERRQ(ierr);
    ierr = PetscOptionsGetInt(NULL,NULL,"-m",&m,NULL);
    CHKERRQ(ierr);
    n    = m;
    ierr = PetscOptionsGetInt(NULL,NULL,"-n",&n,NULL);
    CHKERRQ(ierr);
    ierr = PetscOptionsHasName(NULL,NULL,"-mats_view",&mats_view);
    CHKERRQ(ierr);

    ierr = MatCreate(PETSC_COMM_WORLD,&C);
    CHKERRQ(ierr);
    ierr = MatSetSizes(C,m,n,PETSC_DECIDE,PETSC_DECIDE);
    CHKERRQ(ierr);
    ierr = MatSetType(C,MATELEMENTAL);
    CHKERRQ(ierr);
    ierr = MatSetFromOptions(C);
    CHKERRQ(ierr);
    ierr = MatSetUp(C);
    CHKERRQ(ierr);
    ierr = MatGetOwnershipIS(C,&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 = PetscMalloc1(nrows*ncols,&v);
    CHKERRQ(ierr);
#if defined(PETSC_USE_COMPLEX)
    PetscRandom rand;
    PetscScalar rval;
    ierr = PetscRandomCreate(PETSC_COMM_WORLD,&rand);
    CHKERRQ(ierr);
    ierr = PetscRandomSetFromOptions(rand);
    CHKERRQ(ierr);
    for (i=0; i<nrows; i++) {
        for (j=0; j<ncols; j++) {
            ierr         = PetscRandomGetValue(rand,&rval);
            CHKERRQ(ierr);
            v[i*ncols+j] = rval;
        }
    }
    ierr = PetscRandomDestroy(&rand);
    CHKERRQ(ierr);
#else
    for (i=0; i<nrows; i++) {
        for (j=0; j<ncols; j++) {
            v[i*ncols+j] = (PetscReal)(10000*rank+100*rows[i]+cols[j]);
        }
    }
#endif
    ierr = MatSetValues(C,nrows,rows,ncols,cols,v,INSERT_VALUES);
    CHKERRQ(ierr);
    ierr = ISRestoreIndices(isrows,&rows);
    CHKERRQ(ierr);
    ierr = ISRestoreIndices(iscols,&cols);
    CHKERRQ(ierr);
    ierr = MatAssemblyBegin(C,MAT_FINAL_ASSEMBLY);
    CHKERRQ(ierr);
    ierr = MatAssemblyEnd(C,MAT_FINAL_ASSEMBLY);
    CHKERRQ(ierr);
    ierr = ISDestroy(&isrows);
    CHKERRQ(ierr);
    ierr = ISDestroy(&iscols);
    CHKERRQ(ierr);

    /* Test MatView(), MatDuplicate() and out-of-place MatConvert() */
    ierr = MatDuplicate(C,MAT_COPY_VALUES,&B);
    CHKERRQ(ierr);
    if (mats_view) {
        ierr = PetscPrintf(PETSC_COMM_WORLD,"Duplicated C:\n");
        CHKERRQ(ierr);
        ierr = MatView(B,PETSC_VIEWER_STDOUT_WORLD);
        CHKERRQ(ierr);
    }
    ierr = MatDestroy(&B);
    CHKERRQ(ierr);
    ierr = MatConvert(C,MATMPIDENSE,MAT_INITIAL_MATRIX,&Cdense);
    CHKERRQ(ierr);
    ierr = MatMultEqual(C,Cdense,5,&flg);
    CHKERRQ(ierr);
    if (!flg) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_NOTSAMETYPE,"Cdense != C. MatConvert() fails");

    /* Test MatNorm() */
    ierr = MatNorm(C,NORM_1,&Cnorm);
    CHKERRQ(ierr);

    /* Test MatTranspose(), MatZeroEntries() and MatGetDiagonal() */
    ierr = MatTranspose(C,MAT_INITIAL_MATRIX,&Ct);
    CHKERRQ(ierr);
    ierr = MatConjugate(Ct);
    CHKERRQ(ierr);
    if (mats_view) {
        ierr = PetscPrintf(PETSC_COMM_WORLD,"C's Transpose Conjugate:\n");
        CHKERRQ(ierr);
        ierr = MatView(Ct,PETSC_VIEWER_STDOUT_WORLD);
        CHKERRQ(ierr);
    }
    ierr = MatZeroEntries(Ct);
    CHKERRQ(ierr);
    ierr = VecCreate(PETSC_COMM_WORLD,&d);
    CHKERRQ(ierr);
    ierr = VecSetSizes(d,m>n ? n : m,PETSC_DECIDE);
    CHKERRQ(ierr);
    ierr = VecSetFromOptions(d);
    CHKERRQ(ierr);
    ierr = MatGetDiagonal(C,d);
    CHKERRQ(ierr);
    if (mats_view) {
        ierr = PetscPrintf(PETSC_COMM_WORLD,"Diagonal of C:\n");
        CHKERRQ(ierr);
        ierr = VecView(d,PETSC_VIEWER_STDOUT_WORLD);
        CHKERRQ(ierr);
    }
    if (m>n) {
        ierr = MatDiagonalScale(C,NULL,d);
        CHKERRQ(ierr);
    } else {
        ierr = MatDiagonalScale(C,d,NULL);
        CHKERRQ(ierr);
    }
    if (mats_view) {
        ierr = PetscPrintf(PETSC_COMM_WORLD,"Diagonal Scaled C:\n");
        CHKERRQ(ierr);
        ierr = MatView(C,PETSC_VIEWER_STDOUT_WORLD);
        CHKERRQ(ierr);
    }

    /* Test MatAXPY(), MatAYPX() and in-place MatConvert() */
    ierr = MatCreate(PETSC_COMM_WORLD,&B);
    CHKERRQ(ierr);
    ierr = MatSetSizes(B,m,n,PETSC_DECIDE,PETSC_DECIDE);
    CHKERRQ(ierr);
    ierr = MatSetType(B,MATELEMENTAL);
    CHKERRQ(ierr);
    ierr = MatSetFromOptions(B);
    CHKERRQ(ierr);
    ierr = MatSetUp(B);
    CHKERRQ(ierr);
    ierr = MatGetOwnershipIS(B,&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);
    for (i=0; i<nrows; i++) {
        for (j=0; j<ncols; j++) {
            v[i*ncols+j] = (PetscReal)(1000*rows[i]+cols[j]);
        }
    }
    ierr = MatSetValues(B,nrows,rows,ncols,cols,v,INSERT_VALUES);
    CHKERRQ(ierr);
    ierr = PetscFree(v);
    CHKERRQ(ierr);
    ierr = ISRestoreIndices(isrows,&rows);
    CHKERRQ(ierr);
    ierr = ISRestoreIndices(iscols,&cols);
    CHKERRQ(ierr);
    ierr = MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY);
    CHKERRQ(ierr);
    ierr = MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY);
    CHKERRQ(ierr);
    ierr = MatAXPY(B,2.5,C,SAME_NONZERO_PATTERN);
    CHKERRQ(ierr);
    ierr = MatAYPX(B,3.75,C,SAME_NONZERO_PATTERN);
    CHKERRQ(ierr);
    ierr = MatConvert(B,MATDENSE,MAT_INPLACE_MATRIX,&B);
    CHKERRQ(ierr);
    if (mats_view) {
        ierr = PetscPrintf(PETSC_COMM_WORLD,"B after MatAXPY and MatAYPX:\n");
        CHKERRQ(ierr);
        ierr = MatView(B,PETSC_VIEWER_STDOUT_WORLD);
        CHKERRQ(ierr);
    }
    ierr = ISDestroy(&isrows);
    CHKERRQ(ierr);
    ierr = ISDestroy(&iscols);
    CHKERRQ(ierr);
    ierr = MatDestroy(&B);
    CHKERRQ(ierr);

    /* Test MatMatTransposeMult(): B = C*C^T */
    ierr = MatMatTransposeMult(C,C,MAT_INITIAL_MATRIX,PETSC_DEFAULT,&B);
    CHKERRQ(ierr);
    if (mats_view) {
        ierr = PetscPrintf(PETSC_COMM_WORLD,"C MatMatTransposeMult C:\n");
        CHKERRQ(ierr);
        ierr = MatView(B,PETSC_VIEWER_STDOUT_WORLD);
        CHKERRQ(ierr);
    }

    ierr = MatDestroy(&Cdense);
    CHKERRQ(ierr);
    ierr = PetscFree(v);
    CHKERRQ(ierr);
    ierr = MatDestroy(&B);
    CHKERRQ(ierr);
    ierr = MatDestroy(&C);
    CHKERRQ(ierr);
    ierr = MatDestroy(&Ct);
    CHKERRQ(ierr);
    ierr = VecDestroy(&d);
    CHKERRQ(ierr);
    ierr = PetscFinalize();
    return ierr;
}