예제 #1
0
PetscErrorCode NEPDestroy_SLP(NEP nep)
{
  PetscErrorCode ierr;
  NEP_SLP        *ctx = (NEP_SLP*)nep->data;

  PetscFunctionBegin;
  ierr = EPSDestroy(&ctx->eps);CHKERRQ(ierr);
  ierr = PetscFree(nep->data);CHKERRQ(ierr);
  ierr = PetscObjectComposeFunction((PetscObject)nep,"NEPSLPSetEPS_C",NULL);CHKERRQ(ierr);
  ierr = PetscObjectComposeFunction((PetscObject)nep,"NEPSLPGetEPS_C",NULL);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}
예제 #2
0
PetscErrorCode SolveInit(FEMInf fem, int L, PetscScalar *e0, Vec *x) {

  PetscErrorCode ierr;
  Mat H, S;
  ierr = CalcMat(fem, L, &H, &S); CHKERRQ(ierr);

  EPS eps;
  ierr = PrintTimeStamp(fem->comm, "EPS", NULL); CHKERRQ(ierr);
  ierr = EPSCreate(fem->comm, &eps); CHKERRQ(ierr);
  ierr = EPSSetTarget(eps, -0.6); CHKERRQ(ierr);
  ierr = EPSSetWhichEigenpairs(eps, EPS_TARGET_MAGNITUDE);  CHKERRQ(ierr);
  ierr = EPSSetOperators(eps, H, S); CHKERRQ(ierr);
  if(S == NULL) {
    ierr = EPSSetProblemType(eps, EPS_NHEP);  CHKERRQ(ierr);
  } else {
    ierr = EPSSetProblemType(eps, EPS_GNHEP);  CHKERRQ(ierr);
  }
  Vec x0[1]; MatCreateVecs(H, &x0[0], NULL); 
  int num; FEMInfGetSize(fem, &num);
  for(int i = 0; i < num; i++) {
    VecSetValue(x0[0], i, 0.5, INSERT_VALUES);
  }
  VecAssemblyBegin(x0[0]); VecAssemblyEnd(x0[0]);
  EPSSetInitialSpace(eps, 1, x0);
  ierr = EPSSetFromOptions(eps); CHKERRQ(ierr);

  ierr = EPSSolve(eps); CHKERRQ(ierr);
  PetscInt nconv;
  EPSGetConverged(eps, &nconv);

  if(nconv == 0) 
    SETERRQ(fem->comm, 1, "Failed to digonalize in init state\n");

  Vec x_ans;
  MatCreateVecs(H, &x_ans, NULL);
  EPSGetEigenpair(eps, 0, e0, NULL, x_ans, NULL);

  EPSDestroy(&eps);

  PetscScalar v[1]; PetscInt idx[1] = {1};
  VecGetValues(x_ans, 1, idx, v);
  PetscScalar scale_factor = v[0] / cabs(v[0]);
  VecScale( x_ans, 1.0/scale_factor);

  PetscScalar norm0;
  Vec Sx;  MatCreateVecs(S, &Sx, NULL); 
  MatMult(S, x_ans, Sx); VecDot(x_ans, Sx, &norm0);

  VecScale(x_ans, 1.0/sqrt(norm0));

  *x = x_ans;
  return 0;
}
예제 #3
0
static PetscErrorCode PEPLinearSetEPS_Linear(PEP pep,EPS eps)
{
  PetscErrorCode ierr;
  PEP_LINEAR     *ctx = (PEP_LINEAR*)pep->data;

  PetscFunctionBegin;
  ierr = PetscObjectReference((PetscObject)eps);CHKERRQ(ierr);
  ierr = EPSDestroy(&ctx->eps);CHKERRQ(ierr);
  ctx->eps = eps;
  ierr = PetscLogObjectParent((PetscObject)pep,(PetscObject)ctx->eps);CHKERRQ(ierr);
  pep->state = PEP_STATE_INITIAL;
  PetscFunctionReturn(0);
}
예제 #4
0
static PetscErrorCode NEPSLPSetEPS_SLP(NEP nep,EPS eps)
{
  PetscErrorCode ierr;
  NEP_SLP        *ctx = (NEP_SLP*)nep->data;

  PetscFunctionBegin;
  ierr = PetscObjectReference((PetscObject)eps);CHKERRQ(ierr);
  ierr = EPSDestroy(&ctx->eps);CHKERRQ(ierr);
  ctx->eps = eps;
  ierr = PetscLogObjectParent((PetscObject)nep,(PetscObject)ctx->eps);CHKERRQ(ierr);
  nep->state = NEP_STATE_INITIAL;
  PetscFunctionReturn(0);
}
예제 #5
0
PetscErrorCode cHamiltonianMatrix::destruction(){

//	  cout << "Object is being deleted" << endl;
	  gsl_matrix_free(basis1);
	  gsl_matrix_free(basis2);
	  gsl_vector_free(randV);
	  ierr = EPSDestroy(&eps);CHKERRQ(ierr);
	  ierr = MatDestroy(&Hpolaron);CHKERRQ(ierr);
	  ierr = VecDestroy(&X1);CHKERRQ(ierr);
	  ierr = VecDestroy(&X2);CHKERRQ(ierr);
	  ierr = VecDestroy(&X3);CHKERRQ(ierr);
	  ierr = VecDestroyVecs(Nt,&WFt);CHKERRQ(ierr);
	  gsl_vector_free(rr);
//	  cout << " do i have a seg fault?" << endl;
	return ierr;
}
예제 #6
0
PetscErrorCode PEPDestroy_Linear(PEP pep)
{
  PetscErrorCode ierr;
  PEP_LINEAR     *ctx = (PEP_LINEAR*)pep->data;

  PetscFunctionBegin;
  ierr = EPSDestroy(&ctx->eps);CHKERRQ(ierr);
  ierr = PetscFree(pep->data);CHKERRQ(ierr);
  ierr = PetscObjectComposeFunction((PetscObject)pep,"PEPLinearSetCompanionForm_C",NULL);CHKERRQ(ierr);
  ierr = PetscObjectComposeFunction((PetscObject)pep,"PEPLinearGetCompanionForm_C",NULL);CHKERRQ(ierr);
  ierr = PetscObjectComposeFunction((PetscObject)pep,"PEPLinearSetEPS_C",NULL);CHKERRQ(ierr);
  ierr = PetscObjectComposeFunction((PetscObject)pep,"PEPLinearGetEPS_C",NULL);CHKERRQ(ierr);
  ierr = PetscObjectComposeFunction((PetscObject)pep,"PEPLinearSetExplicitMatrix_C",NULL);CHKERRQ(ierr);
  ierr = PetscObjectComposeFunction((PetscObject)pep,"PEPLinearGetExplicitMatrix_C",NULL);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}
int main(int argc,char **argv)
{
  Mat            A;               /* operator matrix */
  EPS            eps;             /* eigenproblem solver context */
  EPSType        type;
  PetscMPIInt    nproc, myproc;
  PetscInt       nev;
  PetscErrorCode ierr;

  SlepcInitialize(&argc, &argv, (char*)0, 0);
  ierr = MPI_Comm_size(PETSC_COMM_WORLD,&nproc); CHKERRQ(ierr);
  ierr = MPI_Comm_rank(PETSC_COMM_WORLD,&myproc); CHKERRQ(ierr);

  int L = 8;
  ierr = PetscOptionsGetInt(NULL,"-L", &L, NULL); CHKERRQ(ierr);
  PetscInt N_global = 1 << L;
  PetscInt N_local = N_global / nproc;

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     Compute the operator matrix that defines the eigensystem, Ax=kx
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

  model m;
  m.comm = PETSC_COMM_WORLD;
  m.L = L;
  m.buffer = new double[N_local];
  if (m.buffer == 0) {
    MPI_Abort(MPI_COMM_WORLD, 4);
  }

  for (int i=0; i<L; ++i) {
    m.lattice.push_back(std::make_pair(i, (i+1)%L));
  }

  ierr = MatCreateShell(PETSC_COMM_WORLD, N_local, N_local, N_global, N_global, &m, &A); CHKERRQ(ierr);
  ierr = MatSetFromOptions(A); CHKERRQ(ierr);
  ierr = MatShellSetOperation(A,MATOP_MULT,(void(*)())MatMult_myMat); CHKERRQ(ierr);
  ierr = MatShellSetOperation(A,MATOP_MULT_TRANSPOSE,(void(*)())MatMult_myMat); CHKERRQ(ierr);
  ierr = MatShellSetOperation(A,MATOP_GET_DIAGONAL,(void(*)())MatGetDiagonal_myMat); CHKERRQ(ierr);

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                Create the eigensolver and set various options
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

  /*
     Create eigensolver context
  */
  ierr = EPSCreate(PETSC_COMM_WORLD,&eps); CHKERRQ(ierr);

  /*
     Set operators. In this case, it is a standard eigenvalue problem
  */
  ierr = EPSSetOperators(eps,A,NULL); CHKERRQ(ierr);
  ierr = EPSSetProblemType(eps,EPS_HEP); CHKERRQ(ierr);
  ierr = EPSSetDimensions(eps, 5, 100, 100); CHKERRQ(ierr);
  ierr = EPSSetTolerances(eps, (PetscScalar) 1e-1, (PetscInt) 100);   CHKERRQ(ierr);
  //Vec v0;
  //MatGetVecs(A, &v0, NULL);
  //VecSet(v0,1.0);
  //EPSSetInitialSpace(eps,1,&v0);
  /*
     Set solver parameters at runtime
  */
  ierr = EPSSetFromOptions(eps); CHKERRQ(ierr);

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                      Solve the eigensystem
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
  ierr = EPSSolve(eps);CHKERRQ(ierr);

  /*
     Optional: Get some information from the solver and display it
  */
  ierr = EPSGetType(eps,&type); CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_WORLD," Solution method: %s\n\n",type); CHKERRQ(ierr);
  ierr = EPSGetDimensions(eps,&nev,NULL,NULL); CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_WORLD," Number of requested eigenvalues: %D\n",nev); CHKERRQ(ierr);

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                    Display solution and clean up
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
  ierr = EPSPrintSolution(eps,NULL); CHKERRQ(ierr);
  ierr = EPSDestroy(&eps); CHKERRQ(ierr);
  ierr = MatDestroy(&A); CHKERRQ(ierr);
  ierr = SlepcFinalize();
  return 0;
}
예제 #8
0
TrustRegionSolver3::~TrustRegionSolver3() {

	if ( epsInit ) {
        EPSDestroy(& eps);
    }
}
예제 #9
0
int main( int argc, char **argv )
{
  Mat         	 A;		  /* operator matrix */
  Vec         	 x;
  EPS         	 eps;		  /* eigenproblem solver context */
  const EPSType  type;
  PetscReal   	 error, tol, re, im;
  PetscScalar 	 kr, ki;
  PetscErrorCode ierr;
  PetscInt    	 N, n=10, m, i, j, II, Istart, Iend, nev, maxit, its, nconv;
  PetscScalar 	 w;
  PetscBool   	 flag;

  SlepcInitialize(&argc,&argv,(char*)0,help);

  ierr = PetscOptionsGetInt(PETSC_NULL,"-n",&n,PETSC_NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetInt(PETSC_NULL,"-m",&m,&flag);CHKERRQ(ierr);
  if(!flag) m=n;
  N = n*m;
  ierr = PetscPrintf(PETSC_COMM_WORLD,"\nFiedler vector of a 2-D regular mesh, N=%d (%dx%d grid)\n\n",N,n,m);CHKERRQ(ierr);

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 
     Compute the operator matrix that defines the eigensystem, Ax=kx
     In this example, A = L(G), where L is the Laplacian of graph G, i.e.
     Lii = degree of node i, Lij = -1 if edge (i,j) exists in G
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

  ierr = MatCreate(PETSC_COMM_WORLD,&A);CHKERRQ(ierr);
  ierr = MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,N,N);CHKERRQ(ierr);
  ierr = MatSetFromOptions(A);CHKERRQ(ierr);
  
  ierr = MatGetOwnershipRange(A,&Istart,&Iend);CHKERRQ(ierr);
  for( II=Istart; II<Iend; II++ ) { 
    i = II/n; j = II-i*n;
    w = 0.0;
    if(i>0) { ierr = MatSetValue(A,II,II-n,-1.0,INSERT_VALUES);CHKERRQ(ierr); w=w+1.0; }
    if(i<m-1) { ierr = MatSetValue(A,II,II+n,-1.0,INSERT_VALUES);CHKERRQ(ierr); w=w+1.0; }
    if(j>0) { ierr = MatSetValue(A,II,II-1,-1.0,INSERT_VALUES);CHKERRQ(ierr); w=w+1.0; }
    if(j<n-1) { ierr = MatSetValue(A,II,II+1,-1.0,INSERT_VALUES);CHKERRQ(ierr); w=w+1.0; }
    ierr = MatSetValue(A,II,II,w,INSERT_VALUES);CHKERRQ(ierr);
  }

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

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 
                Create the eigensolver and set various options
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

  /* 
     Create eigensolver context
  */
  ierr = EPSCreate(PETSC_COMM_WORLD,&eps);CHKERRQ(ierr);

  /* 
     Set operators. In this case, it is a standard eigenvalue problem
  */
  ierr = EPSSetOperators(eps,A,PETSC_NULL);CHKERRQ(ierr);
  ierr = EPSSetProblemType(eps,EPS_HEP);CHKERRQ(ierr);
  
  /*
     Select portion of spectrum
  */
  ierr = EPSSetWhichEigenpairs(eps,EPS_SMALLEST_REAL);CHKERRQ(ierr);

  /*
     Set solver parameters at runtime
  */
  ierr = EPSSetFromOptions(eps);CHKERRQ(ierr);

  /*
     Attach deflation space: in this case, the matrix has a constant 
     nullspace, [1 1 ... 1]^T is the eigenvector of the zero eigenvalue
  */
  ierr = MatGetVecs(A,&x,PETSC_NULL);CHKERRQ(ierr);
  ierr = VecSet(x,1.0);CHKERRQ(ierr);
  ierr = EPSSetDeflationSpace(eps,1,&x);CHKERRQ(ierr);
  ierr = VecDestroy(x);

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 
                      Solve the eigensystem
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

  ierr = EPSSolve(eps);CHKERRQ(ierr);
  ierr = EPSGetIterationNumber(eps, &its);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_WORLD," Number of iterations of the method: %d\n",its);CHKERRQ(ierr);

  /*
     Optional: Get some information from the solver and display it
  */
  ierr = EPSGetType(eps,&type);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_WORLD," Solution method: %s\n\n",type);CHKERRQ(ierr);
  ierr = EPSGetDimensions(eps,&nev,PETSC_NULL,PETSC_NULL);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_WORLD," Number of requested eigenvalues: %d\n",nev);CHKERRQ(ierr);
  ierr = EPSGetTolerances(eps,&tol,&maxit);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_WORLD," Stopping condition: tol=%.4g, maxit=%d\n",tol,maxit);CHKERRQ(ierr);

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 
                    Display solution and clean up
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

  /* 
     Get number of converged approximate eigenpairs
  */
  ierr = EPSGetConverged(eps,&nconv);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_WORLD," Number of converged approximate eigenpairs: %d\n\n",nconv);
         CHKERRQ(ierr);

  if (nconv>0) {
    /*
       Display eigenvalues and relative errors
    */
    ierr = PetscPrintf(PETSC_COMM_WORLD,
         "           k          ||Ax-kx||/||kx||\n"
         "   ----------------- ------------------\n" );CHKERRQ(ierr);

    for( i=0; i<nconv; i++ ) {
      /* 
        Get converged eigenpairs: i-th eigenvalue is stored in kr (real part) and
        ki (imaginary part)
      */
      ierr = EPSGetEigenpair(eps,i,&kr,&ki,PETSC_NULL,PETSC_NULL);CHKERRQ(ierr);
      /*
         Compute the relative error associated to each eigenpair
      */
      ierr = EPSComputeRelativeError(eps,i,&error);CHKERRQ(ierr);

#ifdef PETSC_USE_COMPLEX
      re = PetscRealPart(kr);
      im = PetscImaginaryPart(kr);
#else
      re = kr;
      im = ki;
#endif 
      if (im!=0.0) {
        ierr = PetscPrintf(PETSC_COMM_WORLD," %9f%+9f j %12g\n",re,im,error);CHKERRQ(ierr);
      } else {
        ierr = PetscPrintf(PETSC_COMM_WORLD,"   %12f       %12g\n",re,error);CHKERRQ(ierr); 
      }
    }
    ierr = PetscPrintf(PETSC_COMM_WORLD,"\n" );CHKERRQ(ierr);
  }
  
  /* 
     Free work space
  */
  ierr = EPSDestroy(eps);CHKERRQ(ierr);
  ierr = MatDestroy(A);CHKERRQ(ierr);
  ierr = SlepcFinalize();CHKERRQ(ierr);
  return 0;
}
예제 #10
0
SLEPcSolver :: ~SLEPcSolver()
{
    if ( epsInit ) {
        EPSDestroy(eps);
    }
}
예제 #11
0
bool eigenSolver::solve(int numEigenValues, std::string which)
{
  if(!_A) return false;
  Mat A = _A->getMatrix();
  Mat B = _B ? _B->getMatrix() : PETSC_NULL;

  PetscInt N, M;
  _try(MatAssemblyBegin(A, MAT_FINAL_ASSEMBLY));
  _try(MatAssemblyEnd(A, MAT_FINAL_ASSEMBLY));
  _try(MatGetSize(A, &N, &M));

  PetscInt N2, M2;
  if (_B) {
    _try(MatAssemblyBegin(B, MAT_FINAL_ASSEMBLY));
    _try(MatAssemblyEnd(B, MAT_FINAL_ASSEMBLY));
    _try(MatGetSize(B, &N2, &M2));
  }

  // generalized eigenvalue problem A x - \lambda B x = 0
  EPS eps;
  _try(EPSCreate(PETSC_COMM_WORLD, &eps));
  _try(EPSSetOperators(eps, A, B));
  if(_hermitian)
    _try(EPSSetProblemType(eps, _B ? EPS_GHEP : EPS_HEP));
  else
    _try(EPSSetProblemType(eps, _B ? EPS_GNHEP : EPS_NHEP));

  // set some default options
  _try(EPSSetDimensions(eps, numEigenValues, PETSC_DECIDE, PETSC_DECIDE));
  _try(EPSSetTolerances(eps, 1.e-7, 20));//1.e-7 20
  _try(EPSSetType(eps, EPSKRYLOVSCHUR)); //default
  //_try(EPSSetType(eps, EPSARNOLDI));
  //_try(EPSSetType(eps, EPSARPACK));
  //_try(EPSSetType(eps, EPSPOWER));

  // override these options at runtime, petsc-style
  _try(EPSSetFromOptions(eps));

  // force options specified directly as arguments
  if(numEigenValues)
    _try(EPSSetDimensions(eps, numEigenValues, PETSC_DECIDE, PETSC_DECIDE));
  if(which == "smallest")
    _try(EPSSetWhichEigenpairs(eps, EPS_SMALLEST_MAGNITUDE));
  else if(which == "smallestReal")
    _try(EPSSetWhichEigenpairs(eps, EPS_SMALLEST_REAL));
  else if(which == "largest")
    _try(EPSSetWhichEigenpairs(eps, EPS_LARGEST_MAGNITUDE));

  // print info
  #if (SLEPC_VERSION_RELEASE == 0 || (SLEPC_VERSION_MAJOR > 3 || (SLEPC_VERSION_MAJOR == 3 && SLEPC_VERSION_MINOR >= 4)))
  EPSType type;
  #else
  const EPSType type;
  #endif
  _try(EPSGetType(eps, &type));
  Msg::Debug("SLEPc solution method: %s", type);

  PetscInt nev;
  _try(EPSGetDimensions(eps, &nev, PETSC_NULL, PETSC_NULL));
  Msg::Debug("SLEPc number of requested eigenvalues: %d", nev);
  PetscReal tol;
  PetscInt maxit;
  _try(EPSGetTolerances(eps, &tol, &maxit));
  Msg::Debug("SLEPc stopping condition: tol=%g, maxit=%d", tol, maxit);

  // solve
  Msg::Info("SLEPc solving...");
  double t1 = Cpu();
  _try(EPSSolve(eps));

  // check convergence
  int its;
  _try(EPSGetIterationNumber(eps, &its));
  EPSConvergedReason reason;
  _try(EPSGetConvergedReason(eps, &reason));
  if(reason == EPS_CONVERGED_TOL){
    double t2 = Cpu();
    Msg::Debug("SLEPc converged in %d iterations (%g s)", its, t2-t1);
  }
  else if(reason == EPS_DIVERGED_ITS)
    Msg::Error("SLEPc diverged after %d iterations", its);
  else if(reason == EPS_DIVERGED_BREAKDOWN)
    Msg::Error("SLEPc generic breakdown in method");
#if (SLEPC_VERSION_MAJOR < 3 || (SLEPC_VERSION_MAJOR == 3 && SLEPC_VERSION_MINOR < 2))
  else if(reason == EPS_DIVERGED_NONSYMMETRIC)
    Msg::Error("The operator is nonsymmetric");
#endif

  // get number of converged approximate eigenpairs
  PetscInt nconv;
  _try(EPSGetConverged(eps, &nconv));
  Msg::Debug("SLEPc number of converged eigenpairs: %d", nconv);

  // ignore additional eigenvalues if we get more than what we asked
  if(nconv > nev) nconv = nev;

  if (nconv > 0) {
    Vec xr, xi;
    _try(MatGetVecs(A, PETSC_NULL, &xr));
    _try(MatGetVecs(A, PETSC_NULL, &xi));
    Msg::Debug("         Re[EigenValue]          Im[EigenValue]"
	       "          Relative error");
    for (int i = 0; i < nconv; i++){
      PetscScalar kr, ki;
      _try(EPSGetEigenpair(eps, i, &kr, &ki, xr, xi));
      PetscReal error;
      _try(EPSComputeRelativeError(eps, i, &error));
#if defined(PETSC_USE_COMPLEX)
      PetscReal re = PetscRealPart(kr);
      PetscReal im = PetscImaginaryPart(kr);
#else
      PetscReal re = kr;
      PetscReal im = ki;
#endif
      Msg::Debug("EIG %03d %s%.16e %s%.16e  %3.6e",
		 i, (re < 0) ? "" : " ", re, (im < 0) ? "" : " ", im, error);

      // store eigenvalues and eigenvectors
      _eigenValues.push_back(std::complex<double>(re, im));
      PetscScalar *tmpr, *tmpi;
      _try(VecGetArray(xr, &tmpr));
      _try(VecGetArray(xi, &tmpi));
      std::vector<std::complex<double> > ev(N);
      for(int i = 0; i < N; i++){
#if defined(PETSC_USE_COMPLEX)
        ev[i] = tmpr[i];
#else
        ev[i] = std::complex<double>(tmpr[i], tmpi[i]);
#endif
      }
       _eigenVectors.push_back(ev);
    }
    _try(VecDestroy(&xr));
    _try(VecDestroy(&xi));
  }

  _try(EPSDestroy(&eps));

  if(reason == EPS_CONVERGED_TOL){
    Msg::Debug("SLEPc done");
    return true;
  }
  else{
    Msg::Warning("SLEPc failed");
    return false;
  }

}
예제 #12
0
int main(int argc,char **argv)
{
  Mat            A;           /* problem matrix */
  EPS            eps;         /* eigenproblem solver context */
  EPSType        type;
  PetscReal      error,tol,re,im;
  PetscScalar    kr,ki,value[3];
  Vec            xr,xi;
  PetscInt       n=30,i,Istart,Iend,col[3],nev,maxit,its,nconv;
  PetscBool      FirstBlock=PETSC_FALSE,LastBlock=PETSC_FALSE;
  PetscErrorCode ierr;

  SlepcInitialize(&argc,&argv,(char*)0,help);

  ierr = PetscOptionsGetInt(NULL,"-n",&n,NULL);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_WORLD,"\n1-D Laplacian Eigenproblem, n=%D\n\n",n);CHKERRQ(ierr);

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     Compute the operator matrix that defines the eigensystem, Ax=kx
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

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

  ierr = MatGetOwnershipRange(A,&Istart,&Iend);CHKERRQ(ierr);
  if (Istart==0) FirstBlock=PETSC_TRUE;
  if (Iend==n) LastBlock=PETSC_TRUE;
  value[0]=-1.0; value[1]=2.0; value[2]=-1.0;
  for (i=(FirstBlock? Istart+1: Istart); i<(LastBlock? Iend-1: Iend); i++) {
    col[0]=i-1; col[1]=i; col[2]=i+1;
    ierr = MatSetValues(A,1,&i,3,col,value,INSERT_VALUES);CHKERRQ(ierr);
  }
  if (LastBlock) {
    i=n-1; col[0]=n-2; col[1]=n-1;
    ierr = MatSetValues(A,1,&i,2,col,value,INSERT_VALUES);CHKERRQ(ierr);
  }
  if (FirstBlock) {
    i=0; col[0]=0; col[1]=1; value[0]=2.0; value[1]=-1.0;
    ierr = MatSetValues(A,1,&i,2,col,value,INSERT_VALUES);CHKERRQ(ierr);
  }

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

  ierr = MatGetVecs(A,NULL,&xr);CHKERRQ(ierr);
  ierr = MatGetVecs(A,NULL,&xi);CHKERRQ(ierr);

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                Create the eigensolver and set various options
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
  /*
     Create eigensolver context
  */
  ierr = EPSCreate(PETSC_COMM_WORLD,&eps);CHKERRQ(ierr);

  /*
     Set operators. In this case, it is a standard eigenvalue problem
  */
  ierr = EPSSetOperators(eps,A,NULL);CHKERRQ(ierr);
  ierr = EPSSetProblemType(eps,EPS_HEP);CHKERRQ(ierr);

  /*
     Set solver parameters at runtime
  */
  ierr = EPSSetFromOptions(eps);CHKERRQ(ierr);

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                      Solve the eigensystem
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

  ierr = EPSSolve(eps);CHKERRQ(ierr);
  /*
     Optional: Get some information from the solver and display it
  */
  ierr = EPSGetIterationNumber(eps,&its);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_WORLD," Number of iterations of the method: %D\n",its);CHKERRQ(ierr);
  ierr = EPSGetType(eps,&type);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_WORLD," Solution method: %s\n\n",type);CHKERRQ(ierr);
  ierr = EPSGetDimensions(eps,&nev,NULL,NULL);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_WORLD," Number of requested eigenvalues: %D\n",nev);CHKERRQ(ierr);
  ierr = EPSGetTolerances(eps,&tol,&maxit);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_WORLD," Stopping condition: tol=%.4g, maxit=%D\n",(double)tol,maxit);CHKERRQ(ierr);

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                    Display solution and clean up
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
  /*
     Get number of converged approximate eigenpairs
  */
  ierr = EPSGetConverged(eps,&nconv);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_WORLD," Number of converged eigenpairs: %D\n\n",nconv);CHKERRQ(ierr);

  if (nconv>0) {
    /*
       Display eigenvalues and relative errors
    */
    ierr = PetscPrintf(PETSC_COMM_WORLD,
         "           k          ||Ax-kx||/||kx||\n"
         "   ----------------- ------------------\n");CHKERRQ(ierr);

    for (i=0;i<nconv;i++) {
      /*
        Get converged eigenpairs: i-th eigenvalue is stored in kr (real part) and
        ki (imaginary part)
      */
      ierr = EPSGetEigenpair(eps,i,&kr,&ki,xr,xi);CHKERRQ(ierr);
      /*
         Compute the relative error associated to each eigenpair
      */
      ierr = EPSComputeRelativeError(eps,i,&error);CHKERRQ(ierr);

#if defined(PETSC_USE_COMPLEX)
      re = PetscRealPart(kr);
      im = PetscImaginaryPart(kr);
#else
      re = kr;
      im = ki;
#endif
      if (im!=0.0) {
        ierr = PetscPrintf(PETSC_COMM_WORLD," %9f%+9f j %12g\n",(double)re,(double)im,(double)error);CHKERRQ(ierr);
      } else {
        ierr = PetscPrintf(PETSC_COMM_WORLD,"   %12f       %12g\n",(double)re,(double)error);CHKERRQ(ierr);
      }
    }
    ierr = PetscPrintf(PETSC_COMM_WORLD,"\n");CHKERRQ(ierr);
  }

  /*
     Free work space
  */
  ierr = EPSDestroy(&eps);CHKERRQ(ierr);
  ierr = MatDestroy(&A);CHKERRQ(ierr);
  ierr = VecDestroy(&xr);CHKERRQ(ierr);
  ierr = VecDestroy(&xi);CHKERRQ(ierr);
  ierr = SlepcFinalize();
  return 0;
}
예제 #13
0
int main(int argc,char **argv)
{
  Mat            A;               /* eigenvalue problem matrix */
  EPS            eps;             /* eigenproblem solver context */
  EPSType        type;
  PetscScalar    delta1,delta2,L,h,value[3];
  PetscInt       N=30,n,i,col[3],Istart,Iend,nev;
  PetscBool      FirstBlock=PETSC_FALSE,LastBlock=PETSC_FALSE;
  CTX_BRUSSEL    *ctx;
  PetscErrorCode ierr;

  SlepcInitialize(&argc,&argv,(char*)0,help);

  ierr = PetscOptionsGetInt(NULL,"-n",&N,NULL);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_WORLD,"\nBrusselator wave model, n=%D\n\n",N);CHKERRQ(ierr);

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        Generate the matrix
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

  /*
     Create shell matrix context and set default parameters
  */
  ierr = PetscNew(&ctx);CHKERRQ(ierr);
  ctx->alpha = 2.0;
  ctx->beta  = 5.45;
  delta1     = 0.008;
  delta2     = 0.004;
  L          = 0.51302;

  /*
     Look the command line for user-provided parameters
  */
  ierr = PetscOptionsGetScalar(NULL,"-L",&L,NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetScalar(NULL,"-alpha",&ctx->alpha,NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetScalar(NULL,"-beta",&ctx->beta,NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetScalar(NULL,"-delta1",&delta1,NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetScalar(NULL,"-delta2",&delta2,NULL);CHKERRQ(ierr);

  /*
     Create matrix T
  */
  ierr = MatCreate(PETSC_COMM_WORLD,&ctx->T);CHKERRQ(ierr);
  ierr = MatSetSizes(ctx->T,PETSC_DECIDE,PETSC_DECIDE,N,N);CHKERRQ(ierr);
  ierr = MatSetFromOptions(ctx->T);CHKERRQ(ierr);
  ierr = MatSetUp(ctx->T);CHKERRQ(ierr);

  ierr = MatGetOwnershipRange(ctx->T,&Istart,&Iend);CHKERRQ(ierr);
  if (Istart==0) FirstBlock=PETSC_TRUE;
  if (Iend==N) LastBlock=PETSC_TRUE;
  value[0]=1.0; value[1]=-2.0; value[2]=1.0;
  for (i=(FirstBlock? Istart+1: Istart); i<(LastBlock? Iend-1: Iend); i++) {
    col[0]=i-1; col[1]=i; col[2]=i+1;
    ierr = MatSetValues(ctx->T,1,&i,3,col,value,INSERT_VALUES);CHKERRQ(ierr);
  }
  if (LastBlock) {
    i=N-1; col[0]=N-2; col[1]=N-1;
    ierr = MatSetValues(ctx->T,1,&i,2,col,value,INSERT_VALUES);CHKERRQ(ierr);
  }
  if (FirstBlock) {
    i=0; col[0]=0; col[1]=1; value[0]=-2.0; value[1]=1.0;
    ierr = MatSetValues(ctx->T,1,&i,2,col,value,INSERT_VALUES);CHKERRQ(ierr);
  }

  ierr = MatAssemblyBegin(ctx->T,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(ctx->T,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatGetLocalSize(ctx->T,&n,NULL);CHKERRQ(ierr);

  /*
     Fill the remaining information in the shell matrix context
     and create auxiliary vectors
  */
  h = 1.0 / (PetscReal)(N+1);
  ctx->tau1 = delta1 / ((h*L)*(h*L));
  ctx->tau2 = delta2 / ((h*L)*(h*L));
  ctx->sigma = 0.0;
  ierr = VecCreateMPIWithArray(PETSC_COMM_WORLD,1,n,PETSC_DECIDE,NULL,&ctx->x1);CHKERRQ(ierr);
  ierr = VecCreateMPIWithArray(PETSC_COMM_WORLD,1,n,PETSC_DECIDE,NULL,&ctx->x2);CHKERRQ(ierr);
  ierr = VecCreateMPIWithArray(PETSC_COMM_WORLD,1,n,PETSC_DECIDE,NULL,&ctx->y1);CHKERRQ(ierr);
  ierr = VecCreateMPIWithArray(PETSC_COMM_WORLD,1,n,PETSC_DECIDE,NULL,&ctx->y2);CHKERRQ(ierr);

  /*
     Create the shell matrix
  */
  ierr = MatCreateShell(PETSC_COMM_WORLD,2*n,2*n,2*N,2*N,(void*)ctx,&A);CHKERRQ(ierr);
  ierr = MatShellSetOperation(A,MATOP_MULT,(void(*)())MatMult_Brussel);CHKERRQ(ierr);
  ierr = MatShellSetOperation(A,MATOP_SHIFT,(void(*)())MatShift_Brussel);CHKERRQ(ierr);
  ierr = MatShellSetOperation(A,MATOP_GET_DIAGONAL,(void(*)())MatGetDiagonal_Brussel);CHKERRQ(ierr);

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                Create the eigensolver and set various options
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

  /*
     Create eigensolver context
  */
  ierr = EPSCreate(PETSC_COMM_WORLD,&eps);CHKERRQ(ierr);

  /*
     Set operators. In this case, it is a standard eigenvalue problem
  */
  ierr = EPSSetOperators(eps,A,NULL);CHKERRQ(ierr);
  ierr = EPSSetProblemType(eps,EPS_NHEP);CHKERRQ(ierr);

  /*
     Ask for the rightmost eigenvalues
  */
  ierr = EPSSetWhichEigenpairs(eps,EPS_LARGEST_REAL);CHKERRQ(ierr);

  /*
     Set other solver options at runtime
  */
  ierr = EPSSetFromOptions(eps);CHKERRQ(ierr);

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                      Solve the eigensystem
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

  ierr = EPSSolve(eps);CHKERRQ(ierr);

  /*
     Optional: Get some information from the solver and display it
  */
  ierr = EPSGetType(eps,&type);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_WORLD," Solution method: %s\n\n",type);CHKERRQ(ierr);
  ierr = EPSGetDimensions(eps,&nev,NULL,NULL);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_WORLD," Number of requested eigenvalues: %D\n",nev);CHKERRQ(ierr);

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                    Display solution and clean up
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

  ierr = EPSPrintSolution(eps,NULL);CHKERRQ(ierr);
  ierr = EPSDestroy(&eps);CHKERRQ(ierr);
  ierr = MatDestroy(&A);CHKERRQ(ierr);
  ierr = MatDestroy(&ctx->T);CHKERRQ(ierr);
  ierr = VecDestroy(&ctx->x1);CHKERRQ(ierr);
  ierr = VecDestroy(&ctx->x2);CHKERRQ(ierr);
  ierr = VecDestroy(&ctx->y1);CHKERRQ(ierr);
  ierr = VecDestroy(&ctx->y2);CHKERRQ(ierr);
  ierr = PetscFree(ctx);CHKERRQ(ierr);
  ierr = SlepcFinalize();
  return 0;
}
예제 #14
0
int main(int argc,char **argv)
{
  Mat            A;               /* operator matrix */
  EPS            eps;             /* eigenproblem solver context */
  EPSType        type;
  DM             da;
  Vec            v0;
  PetscReal      error,tol,re,im,*exact;
  PetscScalar    kr,ki;
  PetscInt       M,N,P,m,n,p,nev,maxit,i,its,nconv,seed;
  PetscLogDouble t1,t2,t3;
  PetscBool      flg;
  PetscRandom    rctx;
  PetscErrorCode ierr;

  SlepcInitialize(&argc,&argv,(char*)0,help);

  ierr = PetscPrintf(PETSC_COMM_WORLD,"\n3-D Laplacian Eigenproblem\n\n");CHKERRQ(ierr);

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     Compute the operator matrix that defines the eigensystem, Ax=kx
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

  ierr = DMDACreate3d(PETSC_COMM_WORLD,DM_BOUNDARY_NONE,DM_BOUNDARY_NONE,
                      DM_BOUNDARY_NONE,DMDA_STENCIL_STAR,-10,-10,-10,
                      PETSC_DECIDE,PETSC_DECIDE,PETSC_DECIDE,
                      1,1,NULL,NULL,NULL,&da);CHKERRQ(ierr);

  /* print DM information */
  ierr = DMDAGetInfo(da,NULL,&M,&N,&P,&m,&n,&p,NULL,NULL,NULL,NULL,NULL,NULL);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_WORLD," Grid partitioning: %D %D %D\n",m,n,p);CHKERRQ(ierr);

  /* create and fill the matrix */
  ierr = DMCreateMatrix(da,&A);CHKERRQ(ierr);
  ierr = FillMatrix(da,A);CHKERRQ(ierr);

  /* create random initial vector */
  seed = 1;
  ierr = PetscOptionsGetInt(NULL,"-seed",&seed,NULL);CHKERRQ(ierr);
  if (seed<0) SETERRQ(PETSC_COMM_WORLD,1,"Seed must be >=0");
  ierr = MatGetVecs(A,&v0,NULL);CHKERRQ(ierr);
  ierr = PetscRandomCreate(PETSC_COMM_WORLD,&rctx);CHKERRQ(ierr);
  ierr = PetscRandomSetFromOptions(rctx);CHKERRQ(ierr);
  for (i=0;i<seed;i++) {   /* simulate different seeds in the random generator */
    ierr = VecSetRandom(v0,rctx);CHKERRQ(ierr);
  }

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                Create the eigensolver and set various options
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

  /*
     Create eigensolver context
  */
  ierr = EPSCreate(PETSC_COMM_WORLD,&eps);CHKERRQ(ierr);

  /*
     Set operators. In this case, it is a standard eigenvalue problem
  */
  ierr = EPSSetOperators(eps,A,NULL);CHKERRQ(ierr);
  ierr = EPSSetProblemType(eps,EPS_HEP);CHKERRQ(ierr);

  /*
     Set specific solver options
  */
  ierr = EPSSetWhichEigenpairs(eps,EPS_SMALLEST_REAL);CHKERRQ(ierr);
  ierr = EPSSetTolerances(eps,1e-8,PETSC_DEFAULT);CHKERRQ(ierr);
  ierr = EPSSetInitialSpace(eps,1,&v0);CHKERRQ(ierr);

  /*
     Set solver parameters at runtime
  */
  ierr = EPSSetFromOptions(eps);CHKERRQ(ierr);

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                      Solve the eigensystem
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

  ierr = PetscTime(&t1);CHKERRQ(ierr);
  ierr = EPSSetUp(eps);CHKERRQ(ierr);
  ierr = PetscTime(&t2);CHKERRQ(ierr);
  ierr = EPSSolve(eps);CHKERRQ(ierr);
  ierr = PetscTime(&t3);CHKERRQ(ierr);
  ierr = EPSGetIterationNumber(eps,&its);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_WORLD," Number of iterations of the method: %D\n",its);CHKERRQ(ierr);

  /*
     Optional: Get some information from the solver and display it
  */
  ierr = EPSGetType(eps,&type);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_WORLD," Solution method: %s\n\n",type);CHKERRQ(ierr);
  ierr = EPSGetDimensions(eps,&nev,NULL,NULL);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_WORLD," Number of requested eigenvalues: %D\n",nev);CHKERRQ(ierr);
  ierr = EPSGetTolerances(eps,&tol,&maxit);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_WORLD," Stopping condition: tol=%.4g, maxit=%D\n",(double)tol,maxit);CHKERRQ(ierr);

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                    Display solution and clean up
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

  /*
     Get number of converged approximate eigenpairs
  */
  ierr = EPSGetConverged(eps,&nconv);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_WORLD," Number of converged approximate eigenpairs: %D\n\n",nconv);CHKERRQ(ierr);

  if (nconv>0) {
    ierr = PetscMalloc1(nconv,&exact);CHKERRQ(ierr);
    ierr = GetExactEigenvalues(M,N,P,nconv,exact);CHKERRQ(ierr);
    /*
       Display eigenvalues and relative errors
    */
    ierr = PetscPrintf(PETSC_COMM_WORLD,
         "           k          ||Ax-kx||/||kx||   Eigenvalue Error \n"
         "   ----------------- ------------------ ------------------\n");CHKERRQ(ierr);

    for (i=0;i<nconv;i++) {
      /*
        Get converged eigenpairs: i-th eigenvalue is stored in kr (real part) and
        ki (imaginary part)
      */
      ierr = EPSGetEigenpair(eps,i,&kr,&ki,NULL,NULL);CHKERRQ(ierr);
      /*
         Compute the relative error associated to each eigenpair
      */
      ierr = EPSComputeRelativeError(eps,i,&error);CHKERRQ(ierr);

#if defined(PETSC_USE_COMPLEX)
      re = PetscRealPart(kr);
      im = PetscImaginaryPart(kr);
#else
      re = kr;
      im = ki;
#endif
      if (im!=0.0) SETERRQ(PETSC_COMM_WORLD,1,"Eigenvalue should be real");
      else {
        ierr = PetscPrintf(PETSC_COMM_WORLD,"   %12g       %12g        %12g\n",(double)re,(double)error,(double)PetscAbsReal(re-exact[i]));CHKERRQ(ierr);
      }
    }
    ierr = PetscFree(exact);CHKERRQ(ierr);
    ierr = PetscPrintf(PETSC_COMM_WORLD,"\n");CHKERRQ(ierr);
  }

  /*
     Show computing times
  */
  ierr = PetscOptionsHasName(NULL,"-showtimes",&flg);CHKERRQ(ierr);
  if (flg) {
    ierr = PetscPrintf(PETSC_COMM_WORLD," Elapsed time: %g (setup), %g (solve)\n",(double)(t2-t1),(double)(t3-t2));CHKERRQ(ierr);
  }

  /*
     Free work space
  */
  ierr = EPSDestroy(&eps);CHKERRQ(ierr);
  ierr = MatDestroy(&A);CHKERRQ(ierr);
  ierr = VecDestroy(&v0);CHKERRQ(ierr);
  ierr = PetscRandomDestroy(&rctx);CHKERRQ(ierr);
  ierr = DMDestroy(&da);CHKERRQ(ierr);
  ierr = SlepcFinalize();
  return 0;
}
예제 #15
0
파일: eigen.c 프로젝트: anil100391/biglobal
int eigen_solver(ndr_data_t *arg) 
{
    EPS eps;
    EPSType type;
    PetscReal error,tol,re,im;
    PetscScalar kr,ki;
    Vec xr,xi;
    PetscInt i,nev,maxit,its,nconv;
    PetscErrorCode ierr;




    ierr = MatGetVecs(arg->A,NULL,&xr);CHKERRQ(ierr);
    ierr = MatGetVecs(arg->A,NULL,&xi);CHKERRQ(ierr);

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                Create the eigensolver and set various options
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
  /*
     Create eigensolver context
  */
  ierr = EPSCreate(PETSC_COMM_WORLD,&eps);CHKERRQ(ierr);

  /*
     Set operators. In this case, it is a standard eigenvalue problem
  */
  ierr = EPSSetOperators(eps,arg->A,NULL);CHKERRQ(ierr);
  ierr = EPSSetProblemType(eps,EPS_NHEP);CHKERRQ(ierr);

  /*
     Set solver parameters at runtime
  */
  ierr = EPSSetFromOptions(eps);CHKERRQ(ierr);

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                      Solve the eigensystem
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

  ierr = EPSSolve(eps);CHKERRQ(ierr);
  /*
     Optional: Get some information from the solver and display it
  */
  ierr = EPSGetIterationNumber(eps,&its);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_WORLD," Number of iterations of the method: %D\n",its);CHKERRQ(ierr);
  ierr = EPSGetType(eps,&type);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_WORLD," Solution method: %s\n\n",type);CHKERRQ(ierr);
  ierr = EPSGetDimensions(eps,&nev,NULL,NULL);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_WORLD," Number of requested eigenvalues: %D\n",nev);CHKERRQ(ierr);
  ierr = EPSGetTolerances(eps,&tol,&maxit);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_WORLD," Stopping condition: tol=%.4g, maxit=%D\n",(double)tol,maxit);CHKERRQ(ierr);

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                    Display solution and clean up
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
  /*
     Get number of converged approximate eigenpairs
  */
  ierr = EPSGetConverged(eps,&nconv);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_WORLD," Number of converged eigenpairs: %D\n\n",nconv);CHKERRQ(ierr);

  if (nconv>0) {
    /*
       Display eigenvalues and relative errors
    */
    ierr = PetscPrintf(PETSC_COMM_WORLD,
         "           k          ||Ax-kx||/||kx||\n"
         "   ----------------- ------------------\n");CHKERRQ(ierr);

    for (i=0;i<nconv;i++) {
      /*
        Get converged eigenpairs: i-th eigenvalue is stored in kr (real part) and
        ki (imaginary part)
      */
      ierr = EPSGetEigenpair(eps,i,&kr,&ki,xr,xi);CHKERRQ(ierr);
//      VecView(xr,PETSC_VIEWER_STDOUT_WORLD);
      /*
         Compute the relative error associated to each eigenpair
      */
      ierr = EPSComputeRelativeError(eps,i,&error);CHKERRQ(ierr);

#if defined(PETSC_USE_COMPLEX)
      re = PetscRealPart(kr);
      im = PetscImaginaryPart(kr);
#else
      re = kr;
      im = ki;
#endif
      if (im!=0.0) {
        ierr = PetscPrintf(PETSC_COMM_WORLD," %9f%+9f j %12g\n",(double)re,(double)im,(double)error);CHKERRQ(ierr);
      } else {
        ierr = PetscPrintf(PETSC_COMM_WORLD,"   %12f       %12g\n",(double)re,(double)error);CHKERRQ(ierr);
      }
    }
    ierr = PetscPrintf(PETSC_COMM_WORLD,"\n");CHKERRQ(ierr);
  }

  /*
     Free work space
  */
  ierr = EPSDestroy(&eps);CHKERRQ(ierr);
  ierr = VecDestroy(&xr);CHKERRQ(ierr);
  ierr = VecDestroy(&xi);CHKERRQ(ierr);
    return 0;
}
예제 #16
0
int main(int argc,char **argv)
{
  Vec            v0;              /* initial vector */
  Mat            A;               /* operator matrix */
  EPS            eps;             /* eigenproblem solver context */
  EPSType        type;
  PetscReal      tol=1000*PETSC_MACHINE_EPSILON;
  PetscInt       N,m=15,nev;
  PetscScalar    origin=0.0;
  PetscErrorCode ierr;

  SlepcInitialize(&argc,&argv,(char*)0,help);

  ierr = PetscOptionsGetInt(NULL,"-m",&m,NULL);CHKERRQ(ierr);
  N = m*(m+1)/2;
  ierr = PetscPrintf(PETSC_COMM_WORLD,"\nMarkov Model, N=%D (m=%D)\n\n",N,m);CHKERRQ(ierr);

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     Compute the operator matrix that defines the eigensystem, Ax=kx
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

  ierr = MatCreate(PETSC_COMM_WORLD,&A);CHKERRQ(ierr);
  ierr = MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,N,N);CHKERRQ(ierr);
  ierr = MatSetFromOptions(A);CHKERRQ(ierr);
  ierr = MatSetUp(A);CHKERRQ(ierr);
  ierr = MatMarkovModel(m,A);CHKERRQ(ierr);

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                Create the eigensolver and set various options
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

  /*
     Create eigensolver context
  */
  ierr = EPSCreate(PETSC_COMM_WORLD,&eps);CHKERRQ(ierr);

  /*
     Set operators. In this case, it is a standard eigenvalue problem
  */
  ierr = EPSSetOperators(eps,A,NULL);CHKERRQ(ierr);
  ierr = EPSSetProblemType(eps,EPS_NHEP);CHKERRQ(ierr);
  ierr = EPSSetTolerances(eps,tol,PETSC_DEFAULT);CHKERRQ(ierr);

  /*
     Set the custom comparing routine in order to obtain the eigenvalues
     closest to the target on the right only
  */
  ierr = EPSSetEigenvalueComparison(eps,MyEigenSort,&origin);CHKERRQ(ierr);


  /*
     Set solver parameters at runtime
  */
  ierr = EPSSetFromOptions(eps);CHKERRQ(ierr);

  /*
     Set the initial vector. This is optional, if not done the initial
     vector is set to random values
  */
  ierr = MatGetVecs(A,&v0,NULL);CHKERRQ(ierr);
  ierr = VecSet(v0,1.0);CHKERRQ(ierr);
  ierr = EPSSetInitialSpace(eps,1,&v0);CHKERRQ(ierr);

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                      Solve the eigensystem
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

  ierr = EPSSolve(eps);CHKERRQ(ierr);

  /*
     Optional: Get some information from the solver and display it
  */
  ierr = EPSGetType(eps,&type);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_WORLD," Solution method: %s\n\n",type);CHKERRQ(ierr);
  ierr = EPSGetDimensions(eps,&nev,NULL,NULL);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_WORLD," Number of requested eigenvalues: %D\n",nev);CHKERRQ(ierr);

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                    Display solution and clean up
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

  ierr = EPSPrintSolution(eps,NULL);CHKERRQ(ierr);
  ierr = EPSDestroy(&eps);CHKERRQ(ierr);
  ierr = MatDestroy(&A);CHKERRQ(ierr);
  ierr = VecDestroy(&v0);CHKERRQ(ierr);
  ierr = SlepcFinalize();
  return 0;
}
예제 #17
0
int main(int argc,char **argv)
{
  Mat            A1,A2;       /* problem matrices */
  EPS            eps;         /* eigenproblem solver context */
  PetscScalar    value[3];
  PetscReal      tol=1000*PETSC_MACHINE_EPSILON,v;
  Vec            d;
  PetscInt       n=30,i,Istart,Iend,col[3];
  PetscBool      FirstBlock=PETSC_FALSE,LastBlock=PETSC_FALSE;
  PetscRandom    myrand;
  PetscErrorCode ierr;

  SlepcInitialize(&argc,&argv,(char*)0,help);

  ierr = PetscOptionsGetInt(NULL,"-n",&n,NULL);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_WORLD,"\nTridiagonal with random diagonal, n=%D\n\n",n);CHKERRQ(ierr);

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
           Create matrix tridiag([-1 0 -1])
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
  ierr = MatCreate(PETSC_COMM_WORLD,&A1);CHKERRQ(ierr);
  ierr = MatSetSizes(A1,PETSC_DECIDE,PETSC_DECIDE,n,n);CHKERRQ(ierr);
  ierr = MatSetFromOptions(A1);CHKERRQ(ierr);
  ierr = MatSetUp(A1);CHKERRQ(ierr);

  ierr = MatGetOwnershipRange(A1,&Istart,&Iend);CHKERRQ(ierr);
  if (Istart==0) FirstBlock=PETSC_TRUE;
  if (Iend==n) LastBlock=PETSC_TRUE;
  value[0]=-1.0; value[1]=0.0; value[2]=-1.0;
  for (i=(FirstBlock? Istart+1: Istart); i<(LastBlock? Iend-1: Iend); i++) {
    col[0]=i-1; col[1]=i; col[2]=i+1;
    ierr = MatSetValues(A1,1,&i,3,col,value,INSERT_VALUES);CHKERRQ(ierr);
  }
  if (LastBlock) {
    i=n-1; col[0]=n-2; col[1]=n-1;
    ierr = MatSetValues(A1,1,&i,2,col,value,INSERT_VALUES);CHKERRQ(ierr);
  }
  if (FirstBlock) {
    i=0; col[0]=0; col[1]=1; value[0]=0.0; value[1]=-1.0;
    ierr = MatSetValues(A1,1,&i,2,col,value,INSERT_VALUES);CHKERRQ(ierr);
  }

  ierr = MatAssemblyBegin(A1,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(A1,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
       Create two matrices by filling the diagonal with rand values
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
  ierr = MatDuplicate(A1,MAT_COPY_VALUES,&A2);CHKERRQ(ierr);
  ierr = MatGetVecs(A1,NULL,&d);CHKERRQ(ierr);
  ierr = PetscRandomCreate(PETSC_COMM_WORLD,&myrand);CHKERRQ(ierr);
  ierr = PetscRandomSetFromOptions(myrand);CHKERRQ(ierr);
  ierr = PetscRandomSetInterval(myrand,0.0,1.0);CHKERRQ(ierr);
  for (i=0; i<n; i++) {
    ierr = PetscRandomGetValueReal(myrand,&v);CHKERRQ(ierr);
    ierr = VecSetValue(d,i,v,INSERT_VALUES);CHKERRQ(ierr);
  }
  ierr = VecAssemblyBegin(d);CHKERRQ(ierr);
  ierr = VecAssemblyEnd(d);CHKERRQ(ierr);
  ierr = MatDiagonalSet(A1,d,INSERT_VALUES);CHKERRQ(ierr);
  for (i=0; i<n; i++) {
    ierr = PetscRandomGetValueReal(myrand,&v);CHKERRQ(ierr);
    ierr = VecSetValue(d,i,v,INSERT_VALUES);CHKERRQ(ierr);
  }
  ierr = VecAssemblyBegin(d);CHKERRQ(ierr);
  ierr = VecAssemblyEnd(d);CHKERRQ(ierr);
  ierr = MatDiagonalSet(A2,d,INSERT_VALUES);CHKERRQ(ierr);
  ierr = VecDestroy(&d);CHKERRQ(ierr);
  ierr = PetscRandomDestroy(&myrand);CHKERRQ(ierr);

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                        Create the eigensolver
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
  ierr = EPSCreate(PETSC_COMM_WORLD,&eps);CHKERRQ(ierr);
  ierr = EPSSetProblemType(eps,EPS_HEP);CHKERRQ(ierr);
  ierr = EPSSetTolerances(eps,tol,PETSC_DEFAULT);CHKERRQ(ierr);
  ierr = EPSSetOperators(eps,A1,NULL);CHKERRQ(ierr);
  ierr = EPSSetFromOptions(eps);CHKERRQ(ierr);

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                        Solve first eigenproblem
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
  ierr = EPSSolve(eps);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_WORLD," - - - First matrix - - -\n");CHKERRQ(ierr);
  ierr = EPSPrintSolution(eps,NULL);CHKERRQ(ierr);

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                        Solve second eigenproblem
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
  ierr = EPSSetOperators(eps,A2,NULL);CHKERRQ(ierr);
  ierr = EPSSolve(eps);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_WORLD," - - - Second matrix - - -\n");CHKERRQ(ierr);
  ierr = EPSPrintSolution(eps,NULL);CHKERRQ(ierr);

  ierr = EPSDestroy(&eps);CHKERRQ(ierr);
  ierr = MatDestroy(&A1);CHKERRQ(ierr);
  ierr = MatDestroy(&A2);CHKERRQ(ierr);
  ierr = SlepcFinalize();
  return 0;
}
예제 #18
0
int SolarEigenvaluesSolver(Mat M, Vec epsCurrent, Vec epspmlQ, Mat D)
{

  PetscErrorCode ierr;
  EPS eps;
  PetscInt nconv;

  Mat B;
  int nrow, ncol;

  ierr=MatGetSize(M,&nrow, &ncol); CHKERRQ(ierr);

  ierr=MatCreateAIJ(PETSC_COMM_WORLD, PETSC_DECIDE, PETSC_DECIDE, nrow, ncol, 2, NULL, 2, NULL, &B); CHKERRQ(ierr);
  ierr=PetscObjectSetName((PetscObject)B, "epsmatrix"); CHKERRQ(ierr);

  if (D==PETSC_NULL)
    {  // for purely real epsC, no absorption;
      ierr=MatDiagonalSet(B,epsCurrent,INSERT_VALUES); CHKERRQ(ierr);
      MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY);
      MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY);
    }
  else
    {
      Vec epsC;
      VecDuplicate(epsCurrent, &epsC);
      ierr = VecPointwiseMult(epsC, epsCurrent,epspmlQ); CHKERRQ(ierr);
      
      MatSetTwoDiagonals(B, epsC, D, 1.0);
      VecDestroy(&epsC);
    }


  PetscPrintf(PETSC_COMM_WORLD,"!!!---computing eigenvalues---!!! \n");
  ierr=EPSCreate(PETSC_COMM_WORLD, &eps); CHKERRQ(ierr);
  ierr=EPSSetOperators(eps, M, B); CHKERRQ(ierr);
  //ierr=EPSSetProblemType(eps,EPS_PGNHEP);CHKERRQ(ierr);
  EPSSetFromOptions(eps);

  PetscLogDouble t1, t2, tpast;
  ierr = PetscTime(&t1);CHKERRQ(ierr);

  ierr=EPSSolve(eps); CHKERRQ(ierr);
  EPSGetConverged(eps, &nconv); CHKERRQ(ierr);
  
  {
    ierr = PetscTime(&t2);CHKERRQ(ierr);
    tpast = t2 - t1;
    int rank;
    MPI_Comm_rank(MPI_COMM_WORLD, &rank);
    if(rank==0)
      PetscPrintf(PETSC_COMM_SELF,"---The eigensolver time is %f s \n",tpast);
  }  

  ierr = PetscPrintf(PETSC_COMM_WORLD,"Number of converged eigenpairs: %d\n\n",nconv);CHKERRQ(ierr);


  double *krarray, *kiarray, *errorarray;
  krarray = (double *) malloc(sizeof(double)*nconv);
  kiarray = (double *) malloc(sizeof(double)*nconv);
  errorarray =(double *) malloc(sizeof(double)*nconv);

  int ni;
  for(ni=0; ni<nconv; ni++)
    {
      ierr=EPSGetEigenpair(eps,ni, krarray+ni,kiarray+ni,PETSC_NULL,PETSC_NULL);CHKERRQ(ierr);
      ierr = EPSComputeRelativeError(eps,ni,errorarray+ni);CHKERRQ(ierr);
      ierr=EPSComputeRelativeError(eps, ni, errorarray+ni );
    }

  PetscPrintf(PETSC_COMM_WORLD, "Now print the eigenvalues: \n");
  for(ni=0; ni<nconv; ni++)
    PetscPrintf(PETSC_COMM_WORLD," %g%+gi,", krarray[ni], kiarray[ni]);

  PetscPrintf(PETSC_COMM_WORLD, "\n\nNow print the normalized eigenvalues: \n");
  for(ni=0; ni<nconv; ni++)
    PetscPrintf(PETSC_COMM_WORLD," %g%+gi,", sqrt(krarray[ni]+pow(omega,2))/(2*PI),kiarray[ni]);


  PetscPrintf(PETSC_COMM_WORLD, "\n\nstart printing erros");

  for(ni=0; ni<nconv; ni++)
    PetscPrintf(PETSC_COMM_WORLD," %g,", errorarray[ni]);      

  PetscPrintf(PETSC_COMM_WORLD,"\n\n Finish EPS Solving !!! \n\n");

  /*-- destroy vectors and free space --*/
  EPSDestroy(&eps);
  MatDestroy(&B);

  free(krarray);
  free(kiarray);
  free(errorarray);

  PetscFunctionReturn(0);
}
예제 #19
0
파일: arnoldi.c 프로젝트: salimus15/glcs
/* Compute cyclicly eigenvalue */
PetscErrorCode Arnoldi(com_lsa * com, Mat * A, Vec  *v){
	EPS eps; /* eigensolver context */
	char  load_path[PETSC_MAX_PATH_LEN],export_path[PETSC_MAX_PATH_LEN];
	PetscInt end,first,validated;
	PetscErrorCode ierr;
	/* eigenvalues number is set to 100, can be changed if needed
	   we choosed to fix it because mallocs weren't working properly */
	PetscScalar eigenvalues[1000], ei, er;
	PetscReal re,im,vnorm;
	PetscInt eigen_nb,j,i,size,one=1, taille;
	Vec initialv,nullv,*vs;
	PetscBool flag,data_load,data_export,continuous_export,load_any;
	int exit_type=0, counter = 0, l;
	int sos_type = 911;
	Vec vecteur_initial;
	PetscViewer viewer;	


	PetscBool need_new_init = PETSC_FALSE, exit = PETSC_FALSE;

	sprintf(load_path,"./arnoldi.bin");
	sprintf(export_path,"./arnoldi.bin");
	
	PetscViewerCreate(PETSC_COMM_WORLD,&viewer);
//	 PetscViewerSetType(viewer,PETSCVIEWERBINARY);
	// if (skippheader) { PetscViewerBinarySetSkipHeader(viewer,PETSC_TRUE); }
//	 PetscViewerFileSetMode(viewer,FILE_MODE_WRITE);
//	 PetscViewerBinarySetUseMPIIO(viewer,PETSC_TRUE); 
// 	 PetscViewerFileSetName(viewer,"arnoldidbg.txt");

	/* create the eigensolver */
	ierr=EPSCreate(PETSC_COMM_WORLD,&eps);CHKERRQ(ierr);
	/* set the matrix operator */
	ierr=EPSSetOperators(eps,*A,PETSC_NULL);
	/* set options */
	ierr=EPSSetType(eps,EPSARNOLDI);
	ierr=EPSSetFromOptions(eps);CHKERRQ(ierr);
	
	/* duplicate vector properties */
	ierr=VecDuplicate(*v,&initialv);CHKERRQ(ierr);
	ierr=VecDuplicate(*v,&nullv);CHKERRQ(ierr);
	ierr=VecSet(nullv,(PetscScalar)0.0);CHKERRQ(ierr);
/*	ierr=VecSet(initialv,(PetscScalar)1.0);CHKERRQ(ierr);*/
	
	ierr=VecSetRandom(initialv,PETSC_NULL);//initialize initial vector to random
	ierr=VecGetSize(initialv,&size);CHKERRQ(ierr);

	ierr=PetscOptionsGetInt(PETSC_NULL,"-ksp_ls_eigen",&eigen_nb,&flag);CHKERRQ(ierr);
	if(!flag) eigen_nb=EIGEN_ALL;
	ierr=PetscOptionsGetString(PETSC_NULL,"-ksp_arnoldi_load",load_path,PETSC_MAX_PATH_LEN,&data_load);CHKERRQ(ierr);
	ierr=PetscOptionsGetString(PETSC_NULL,"-ksp_arnoldi_export",export_path,PETSC_MAX_PATH_LEN,&data_export);CHKERRQ(ierr);

	ierr=PetscOptionsHasName(PETSC_NULL,"-ksp_arnoldi_load_any",&load_any);CHKERRQ(ierr);
	ierr=PetscOptionsHasName(PETSC_NULL,"-ksp_arnoldi_cexport",&continuous_export);CHKERRQ(ierr);

	if(load_any) PetscPrintf(PETSC_COMM_WORLD,"*} Arnoldi loading default data file\n");
	PetscPrintf(PETSC_COMM_WORLD,"*} Arnoldi path in= %s out= %s\n",load_path,export_path);

	PetscPrintf(PETSC_COMM_WORLD,"*} Arnoldi allocating buffer of %d for invariant subspace\n",eigen_nb*2);
	vs=malloc(size*sizeof(Vec));
	for(i=0;i<size;i++){
		ierr=VecDuplicate(*v,&vs[i]);CHKERRQ(ierr);
	}
	ierr=VecDuplicate(initialv,&vecteur_initial);CHKERRQ(ierr);
/*	vecteur_initial = malloc(size * sizeof(PetscScalar));*/

	//	setting_out_vec_sizes( com, v);


	end=0;
	first=1;
	validated=1;
	while(!end){
		/*check if the program need to exit */
		if(exit == PETSC_TRUE)
			break;
		/* check if we received an exit message from Father*/
		if(!mpi_lsa_com_type_recv(com,&exit_type)){
		  if(exit_type==666){
		    end=1;
		    PetscPrintf(PETSC_COMM_WORLD,"*} Arnoldi Sending Exit message\n");
		    mpi_lsa_com_type_send(com,&exit_type);
		    break;
		  }
		}
		/* check if we received some data from GMRES		*/
		if(!mpi_lsa_com_vec_recv(com, &initialv)){
				VecGetSize(initialv, &taille);
/*				printf(" =========  %d I RECEIVED %d DATA FROM GMRES ============\n",com->rank_world, taille);*/
/*				ierr = VecCopy(vecteur_initial, initialv);*/
		}
/*		  */
/*		  if(!mpi_lsa_com_array_recv(com, &taille, vecteur_initial)){*/
/*			//	VecGetSize(initialv, &taille);*/
/*					printf(" =========  %d I RECEIVED %d DATA FROM GMRES ============\n",com->rank_world, taille);*/
/*					for (i = 0; i < taille; i++)*/
/*						PetscPrintf(PETSC_COMM_WORLD,"==== > arnoldi %d [%d] = %e\n",com->rank_world, i, vecteur_initial[i]);*/
/*		}  */
		
		for(j=0;j<eigen_nb;j++){
			eigenvalues[j]=(PetscScalar)0.0;
		}

		//FIXME: refactoriser les if suivants + flags file read, c'est très très moche
		if(data_load&&load_any){
		  load_any=PETSC_FALSE;
		  data_load=PETSC_TRUE;
		}
		  ierr = VecAssemblyBegin(initialv);CHKERRQ(ierr);
  		  ierr = VecAssemblyEnd(initialv);CHKERRQ(ierr);
	
		if(!(data_load^=load_any)){
		  ierr=EPSSetInitialSpace(eps,1,&initialv);CHKERRQ(ierr);
		} else {
/*				PetscPrintf(PETSC_COMM_WORLD,"==== > I AM LOADING DATA FROM FILE\n");*/
/*				PetscPrintf(PETSC_COMM_WORLD,"*} Arnoldi Reading file %s\n",load_path);*/
				ierr=readBinaryVecArray(load_path,(int*)one,&initialv);CHKERRQ(ierr);
				data_load=PETSC_FALSE;
				load_any=PETSC_FALSE;
				ierr=EPSSetInitialSpace(eps,1,&initialv);CHKERRQ(ierr);
/*				PetscPrintf(PETSC_COMM_WORLD,"*} Arnoldi Has Read file %s\n",load_path);*/
		}

		ierr=EPSSolve(eps);CHKERRQ(ierr);
		
				/*construct new initial vector*/
			ierr=EPSGetInvariantSubspace(eps, vs);CHKERRQ(ierr);
		++counter;

		/* get the number of guessed eigenvalues */
		ierr=EPSGetConverged(eps,&eigen_nb);CHKERRQ(ierr);

/* 		#ifdef DEBUG*/
/*		PetscPrintf(PETSC_COMM_WORLD,"*} Arnoldi %d converged eigenvalues\n",eigen_nb);*/
/* 		#endif*/

		/* send them */
		for(j=0;j<eigen_nb;j++){
			//EPSGetValue(eps,j,&er,&ei);
			//ierr = EPSGetEigenpair(eps,j,&er,&ei,PETSC_NULL,PETSC_NULL);CHKERRQ(ierr);
			ierr = EPSGetEigenvalue(eps,j,&er,&ei);CHKERRQ(ierr);
			#ifdef PETSC_USE_COMPLEX
			  re=PetscRealPart(er);
			  im=PetscImaginaryPart(er);
			#else
			  re=er;
			  im=ei;
			#endif

			eigenvalues[j]=(PetscScalar)re+PETSC_i*(PetscScalar)im;


//	 		#ifdef DEBUG
				if(im!=0.0)
				  PetscPrintf(PETSC_COMM_WORLD,"*} Arnoldi %d/%d val : %e %e\n",j,eigen_nb,re,im);
				else
				  PetscPrintf(PETSC_COMM_WORLD,"*} Arnoldi  %d/%d val : %e\n",j,eigen_nb,er);
//			#endif

		}
		
/*		ierr=VecGetSize(initialv,&taille);CHKERRQ(ierr);*/
/*		PetscPrintf(PETSC_COMM_WORLD,"==== > OUR INITIALV IS OF SIZE %d\n", taille);*/
/*  		vecteur_initial = realloc(vecteur_initial,taille);  			*/
/*  		ierr=VecGetArray(initialv, &vecteur_initial);CHKERRQ(ierr);*/
/*		for (i = 0; i < taille; i++)*/
/*			PetscPrintf(PETSC_COMM_WORLD,"==== > initialv[%d] = %e\n", i, vecteur_initial[i]);*/
/*		ierr= VecRestoreArray(initialv, &vecteur_initial);CHKERRQ(ierr);*/
		
		if( eigen_nb != 0){
/*		#ifdef DEBUG*/
/*		PetscPrintf(PETSC_COMM_WORLD,"*} Arnoldi  Sending to LS\n");*/
/*		#endif*/
		/* send the data array */
		mpi_lsa_com_array_send(com, &eigen_nb, eigenvalues);
		
			/*construct new initial vector*/
/*			ierr=EPSGetInvariantSubspace(eps, vs);CHKERRQ(ierr);*/
			ierr=VecCopy(vs[0],initialv);CHKERRQ(ierr);
		
		
			for(j=1;j<eigen_nb;j++){
				ierr=VecAYPX(initialv,(PetscScalar)1.0,vs[j]);
			}
		
			ierr=VecNorm(initialv,NORM_2,&vnorm);CHKERRQ(ierr);
			ierr=VecAYPX(initialv,(PetscScalar)(1.0/vnorm),nullv);CHKERRQ(ierr);
				
	  		if(continuous_export){
/*		  		ierr=writeBinaryVecArray(data_export?export_path:"./arnoldi.bin", 1, &initialv);*/
			}
			if(!mpi_lsa_com_type_recv(com,&exit_type)){
   			if(exit_type==666){
		 			end=1;
		 			PetscPrintf(PETSC_COMM_WORLD,"*} Arnoldi Sending Exit message\n");

		 			mpi_lsa_com_type_send(com,&exit_type);
		 			need_new_init = PETSC_FALSE;
		 			exit = PETSC_TRUE;
					 break;
  				}	
			}
  		}else{
  			need_new_init = PETSC_TRUE;
			PetscPrintf(PETSC_COMM_WORLD, "!!! Arnoldi has not converged so we change the initial vector !!!\n"); 
 			while(need_new_init){
				// this was my first try to solve the poblem but it doesn't work better 
				/*ierr=VecSetRandom(initialv,PETSC_NULL);CHKERRQ(ier);*/
				// Now the best to do i think is to develop a kind of help from GMRES 
				// Arnoldi when no convergence observed will send a msg to GMRES like an SOS 
				//and GMRES will send a vector wich will be used to generate a new initial vector that make arnoldi converge **I HOPE **
  				//need_new_init = PETSC_TRUE
				// mpi_lsa_com_type_send(com,&sos_type); // here we send the message 
  				//	 ierr=VecDuplicate(initialv,&vec_tmp_receive);
  				//PetscPrintf(PETSC_COMM_WORLD, "!!! Arnoldi has not converged so we change the initial vector !!!\n");
  				 /* check if there's an incoming message */


				 if(!mpi_lsa_com_vec_recv(com, &initialv)){
/*					if(!mpi_lsa_com_array_recv(com, &taille, vecteur_initial)){*/

/*					printf(" =========   I RECEIVED SOME DATA FROM GMRES ============\n");*/
/*					ierr = VecCopy(vecteur_initial, initialv);*/
					need_new_init = PETSC_FALSE;
		     	 }else{
		     			if(!mpi_lsa_com_type_recv(com,&exit_type)){
			      			if(exit_type==666){
				    			end=1;
/*				    			PetscPrintf(PETSC_COMM_WORLD,"*} Arnoldi Sending Exit message\n");*/

				    			mpi_lsa_com_type_send(com,&exit_type);
				    			need_new_init = PETSC_FALSE;
				    			exit = PETSC_TRUE;
				   			 break;
				  				}
						}
      		 }
			//goto checking;
		     	//return 1;
		     }	
		     if(exit == PETSC_TRUE)
		     		break;		 
  		}
  		
  		// i will check it later 	
		
	}


/*	if(data_export){*/
/*	  ierr=writeBinaryVecArray(export_path, 1, &initialv);*/
/*	}*/


	for(i=0;i<eigen_nb;i++){
		ierr=VecDestroy(&(vs[i]));CHKERRQ(ierr);
	}
	
/*	ierr=PetscFree(vs);CHKERRQ(ierr);*/

	/* and destroy the eps */
	ierr=EPSDestroy(&eps);CHKERRQ(ierr);
	ierr=VecDestroy(&initialv);CHKERRQ(ierr);
	ierr=VecDestroy(&nullv);CHKERRQ(ierr);

	return 0;
}
예제 #20
0
int main(int argc,char **argv)
{
  Mat            A;           /* problem matrix */
  EPS            eps;         /* eigenproblem solver context */
  ST             st;
  PetscReal      tol=PetscMax(1000*PETSC_MACHINE_EPSILON,1e-9);
  PetscScalar    value[3];
  PetscInt       n=30,i,Istart,Iend,col[3];
  PetscBool      FirstBlock=PETSC_FALSE,LastBlock=PETSC_FALSE,flg;
  PetscErrorCode ierr;

  SlepcInitialize(&argc,&argv,(char*)0,help);

  ierr = PetscOptionsGetInt(NULL,"-n",&n,NULL);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_WORLD,"\n1-D Laplacian Eigenproblem, n=%D\n\n",n);CHKERRQ(ierr);

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     Compute the operator matrix that defines the eigensystem, Ax=kx
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

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

  ierr = MatGetOwnershipRange(A,&Istart,&Iend);CHKERRQ(ierr);
  if (Istart==0) FirstBlock=PETSC_TRUE;
  if (Iend==n) LastBlock=PETSC_TRUE;
  value[0]=-1.0; value[1]=2.0; value[2]=-1.0;
  for (i=(FirstBlock? Istart+1: Istart); i<(LastBlock? Iend-1: Iend); i++) {
    col[0]=i-1; col[1]=i; col[2]=i+1;
    ierr = MatSetValues(A,1,&i,3,col,value,INSERT_VALUES);CHKERRQ(ierr);
  }
  if (LastBlock) {
    i=n-1; col[0]=n-2; col[1]=n-1;
    ierr = MatSetValues(A,1,&i,2,col,value,INSERT_VALUES);CHKERRQ(ierr);
  }
  if (FirstBlock) {
    i=0; col[0]=0; col[1]=1; value[0]=2.0; value[1]=-1.0;
    ierr = MatSetValues(A,1,&i,2,col,value,INSERT_VALUES);CHKERRQ(ierr);
  }

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

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                        Create the eigensolver
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
  ierr = EPSCreate(PETSC_COMM_WORLD,&eps);CHKERRQ(ierr);
  ierr = EPSSetOperators(eps,A,NULL);CHKERRQ(ierr);
  ierr = EPSSetProblemType(eps,EPS_HEP);CHKERRQ(ierr);
  ierr = EPSSetTolerances(eps,tol,PETSC_DEFAULT);CHKERRQ(ierr);
  ierr = EPSSetFromOptions(eps);CHKERRQ(ierr);

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                    Solve for largest eigenvalues
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
  ierr = EPSSetWhichEigenpairs(eps,EPS_LARGEST_REAL);CHKERRQ(ierr);
  ierr = EPSSolve(eps);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_WORLD," - - - Largest eigenvalues - - -\n");CHKERRQ(ierr);
  ierr = EPSPrintSolution(eps,NULL);CHKERRQ(ierr);

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                    Solve for smallest eigenvalues
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
  ierr = EPSSetWhichEigenpairs(eps,EPS_SMALLEST_REAL);CHKERRQ(ierr);
  ierr = EPSSolve(eps);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_WORLD," - - - Smallest eigenvalues - - -\n");CHKERRQ(ierr);
  ierr = EPSPrintSolution(eps,NULL);CHKERRQ(ierr);

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                    Solve for interior eigenvalues (target=2.1)
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
  ierr = EPSSetWhichEigenpairs(eps,EPS_TARGET_MAGNITUDE);CHKERRQ(ierr);
  ierr = EPSSetTarget(eps,2.1);CHKERRQ(ierr);
  ierr = PetscObjectTypeCompare((PetscObject)eps,EPSLANCZOS,&flg);CHKERRQ(ierr);
  if (flg) {
    ierr = EPSGetST(eps,&st);CHKERRQ(ierr);
    ierr = STSetType(st,STSINVERT);CHKERRQ(ierr);
  } else {
    ierr = PetscObjectTypeCompare((PetscObject)eps,EPSKRYLOVSCHUR,&flg);CHKERRQ(ierr);
    if (!flg) {
      ierr = PetscObjectTypeCompare((PetscObject)eps,EPSARNOLDI,&flg);CHKERRQ(ierr);
    }
    if (flg) {
      ierr = EPSSetExtraction(eps,EPS_HARMONIC);CHKERRQ(ierr);
    }
  }
  ierr = EPSSolve(eps);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_WORLD," - - - Interior eigenvalues - - -\n");CHKERRQ(ierr);
  ierr = EPSPrintSolution(eps,NULL);CHKERRQ(ierr);

  ierr = EPSDestroy(&eps);CHKERRQ(ierr);
  ierr = MatDestroy(&A);CHKERRQ(ierr);
  ierr = SlepcFinalize();
  return 0;
}
예제 #21
0
파일: ex4.c 프로젝트: chrispbradley/slepc
int main(int argc,char **argv)
{
    Mat            A;               /* operator matrix */
    EPS            eps;             /* eigenproblem solver context */
    EPSType        type;
    PetscReal      tol;
    PetscInt       nev,maxit,its;
    char           filename[PETSC_MAX_PATH_LEN];
    PetscViewer    viewer;
    PetscBool      flg;
    PetscErrorCode ierr;

    SlepcInitialize(&argc,&argv,(char*)0,help);

    /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
          Load the operator matrix that defines the eigensystem, Ax=kx
       - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

    ierr = PetscPrintf(PETSC_COMM_WORLD,"\nEigenproblem stored in file.\n\n");
    CHKERRQ(ierr);
    ierr = PetscOptionsGetString(NULL,"-file",filename,PETSC_MAX_PATH_LEN,&flg);
    CHKERRQ(ierr);
    if (!flg) SETERRQ(PETSC_COMM_WORLD,1,"Must indicate a file name with the -file option");

#if defined(PETSC_USE_COMPLEX)
    ierr = PetscPrintf(PETSC_COMM_WORLD," Reading COMPLEX matrix from a binary file...\n");
    CHKERRQ(ierr);
#else
    ierr = PetscPrintf(PETSC_COMM_WORLD," Reading REAL matrix from a binary file...\n");
    CHKERRQ(ierr);
#endif
    ierr = PetscViewerBinaryOpen(PETSC_COMM_WORLD,filename,FILE_MODE_READ,&viewer);
    CHKERRQ(ierr);
    ierr = MatCreate(PETSC_COMM_WORLD,&A);
    CHKERRQ(ierr);
    ierr = MatSetFromOptions(A);
    CHKERRQ(ierr);
    ierr = MatLoad(A,viewer);
    CHKERRQ(ierr);
    ierr = PetscViewerDestroy(&viewer);
    CHKERRQ(ierr);

    /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                  Create the eigensolver and set various options
       - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

    /*
       Create eigensolver context
    */
    ierr = EPSCreate(PETSC_COMM_WORLD,&eps);
    CHKERRQ(ierr);

    /*
       Set operators. In this case, it is a standard eigenvalue problem
    */
    ierr = EPSSetOperators(eps,A,NULL);
    CHKERRQ(ierr);

    /*
       Set solver parameters at runtime
    */
    ierr = EPSSetFromOptions(eps);
    CHKERRQ(ierr);

    /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                        Solve the eigensystem
       - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

    ierr = EPSSolve(eps);
    CHKERRQ(ierr);
    ierr = EPSGetIterationNumber(eps,&its);
    CHKERRQ(ierr);
    ierr = PetscPrintf(PETSC_COMM_WORLD," Number of iterations of the method: %D\n",its);
    CHKERRQ(ierr);

    /*
       Optional: Get some information from the solver and display it
    */
    ierr = EPSGetType(eps,&type);
    CHKERRQ(ierr);
    ierr = PetscPrintf(PETSC_COMM_WORLD," Solution method: %s\n\n",type);
    CHKERRQ(ierr);
    ierr = EPSGetDimensions(eps,&nev,NULL,NULL);
    CHKERRQ(ierr);
    ierr = PetscPrintf(PETSC_COMM_WORLD," Number of requested eigenvalues: %D\n",nev);
    CHKERRQ(ierr);
    ierr = EPSGetTolerances(eps,&tol,&maxit);
    CHKERRQ(ierr);
    ierr = PetscPrintf(PETSC_COMM_WORLD," Stopping condition: tol=%.4g, maxit=%D\n",(double)tol,maxit);
    CHKERRQ(ierr);

    /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                      Display solution and clean up
       - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

    ierr = EPSPrintSolution(eps,NULL);
    CHKERRQ(ierr);
    ierr = EPSDestroy(&eps);
    CHKERRQ(ierr);
    ierr = MatDestroy(&A);
    CHKERRQ(ierr);
    ierr = SlepcFinalize();
    return 0;
}