C++ PetscRandomSetFromOptions函数代码示例

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本文整理汇总了C++中PetscRandomSetFromOptions函数的典型用法代码示例。如果您正苦于以下问题：C++ PetscRandomSetFromOptions函数的具体用法？C++ PetscRandomSetFromOptions怎么用？C++ PetscRandomSetFromOptions使用的例子？那么恭喜您, 这里精选的函数代码示例或许可以为您提供帮助。

在下文中一共展示了PetscRandomSetFromOptions函数的20个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于我们的系统推荐出更棒的C++代码示例。

示例1: SNESDiffParameterCreate_More

PetscErrorCode SNESDiffParameterCreate_More(SNES snes,Vec x,void **outneP)
{
  DIFFPAR_MORE   *neP;
  Vec            w;
  PetscRandom    rctx;  /* random number generator context */
  PetscErrorCode ierr;
  PetscBool      flg;
  char           noise_file[PETSC_MAX_PATH_LEN];

  PetscFunctionBegin;

  ierr = PetscNewLog(snes,DIFFPAR_MORE,&neP);CHKERRQ(ierr);
  neP->function_count = 0;
  neP->fnoise_min     = 1.0e-20;
  neP->hopt_min       = 1.0e-8;
  neP->h_first_try    = 1.0e-3;
  neP->fnoise_resets  = 0;
  neP->hopt_resets    = 0;

  /* Create work vectors */
  ierr = VecDuplicateVecs(x,3,&neP->workv);CHKERRQ(ierr);
  w = neP->workv[0];

  /* Set components of vector w to random numbers */
  ierr = PetscRandomCreate(((PetscObject)snes)->comm,&rctx);CHKERRQ(ierr);
  ierr = PetscRandomSetFromOptions(rctx);CHKERRQ(ierr);
  ierr = VecSetRandom(w,rctx);CHKERRQ(ierr);
  ierr = PetscRandomDestroy(&rctx);CHKERRQ(ierr);

  /* Open output file */
  ierr = PetscOptionsGetString(((PetscObject)snes)->prefix,"-snes_mf_noise_file",noise_file,PETSC_MAX_PATH_LEN,&flg);CHKERRQ(ierr);
  if (flg) neP->fp = fopen(noise_file,"w"); 
  else     neP->fp = fopen("noise.out","w"); 
  if (!neP->fp) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_FILE_OPEN,"Cannot open file");
  ierr = PetscInfo(snes,"Creating Jorge's differencing parameter context\n");CHKERRQ(ierr);

  *outneP = neP;
  PetscFunctionReturn(0);
}

开发者ID:Kun-Qu，项目名称:petsc，代码行数:39，代码来源:snesnoise.c

示例2: Ensure

Ensure(FFT, i_transform_is_inverse_of_transform)
{
    Vec v;
    PetscInt dim = 5;

    DMDACreate1d(PETSC_COMM_WORLD,DM_BOUNDARY_NONE,dim,2,1,NULL,&da);

    DMCreateGlobalVector(da, &v);
    PetscRandom rdm;
    PetscRandomCreate(PETSC_COMM_WORLD, &rdm);
    PetscRandomSetFromOptions(rdm);
    VecSetRandom(v, rdm);
    PetscRandomDestroy(&rdm);
    Vec vIn;
    VecDuplicate(v, &vIn);
    VecCopy(v, vIn);

    scFftCreate(da, &fft);

    Vec x, y, z;
    scFftCreateVecsFFTW(fft, &x, &y, &z);

    int component = 0;
    scFftTransform(fft, v, component, y);
    scFftITransform(fft, v, component, y);
    VecAXPY(v, -dim, vIn);
    PetscReal error;
    VecStrideNorm(v, component, NORM_INFINITY, &error);
    assert_that(error < 1.0e-6, is_true);

    VecDestroy(&x);
    VecDestroy(&y);
    VecDestroy(&z);
    VecDestroy(&v);
    VecDestroy(&vIn);
    scFftDestroy(&fft);
    DMDestroy(&da);
}

开发者ID:ocramz，项目名称:SuperContinuum，代码行数:38，代码来源:test_FFT.c

示例3: main

PetscInt main(PetscInt argc,char **args)
{
  typedef enum {RANDOM, CONSTANT, TANH, NUM_FUNCS} FuncType;
  const char    *funcNames[NUM_FUNCS] = {"random", "constant", "tanh"};
  PetscMPIInt    size;
  PetscInt       n = 10,N,Ny,ndim=4,dim[4],DIM,i;
  Vec            x,y,z;
  PetscScalar    s;
  PetscRandom    rdm;
  PetscReal      enorm;
  PetscInt       func=RANDOM;
  FuncType       function = RANDOM;
  PetscBool      view = PETSC_FALSE;
  PetscErrorCode ierr;
  PetscScalar    *x_array,*y_array,*z_array;
  fftw_plan      fplan,bplan;
  const ptrdiff_t N0 = 20, N1 = 20;

  ptrdiff_t alloc_local, local_n0, local_0_start;
  ierr = PetscInitialize(&argc,&args,(char *)0,help);CHKERRQ(ierr);
#if defined(PETSC_USE_COMPLEX)
  SETERRQ(PETSC_COMM_WORLD,PETSC_ERR_SUP, "This example requires real numbers");
#endif
  ierr = MPI_Comm_size(PETSC_COMM_WORLD, &size);CHKERRQ(ierr);
  alloc_local=fftw_mpi_local_size_2d(N0, N1, PETSC_COMM_WORLD,
                                              &local_n0, &local_0_start);

  if (size != 1) SETERRQ(PETSC_COMM_WORLD,PETSC_ERR_SUP, "This is a uniprocessor example only!");
  ierr = PetscOptionsBegin(PETSC_COMM_WORLD, PETSC_NULL, "FFTW Options", "ex142");CHKERRQ(ierr);
    ierr = PetscOptionsEList("-function", "Function type", "ex142", funcNames, NUM_FUNCS, funcNames[function], &func, PETSC_NULL);CHKERRQ(ierr);
    ierr = PetscOptionsBool("-vec_view draw", "View the functions", "ex112", view, &view, PETSC_NULL);CHKERRQ(ierr);
    function = (FuncType) func;
  ierr = PetscOptionsEnd();CHKERRQ(ierr);

  for (DIM = 0; DIM < ndim; DIM++){
    dim[DIM]  = n; /* size of real space vector in DIM-dimension */
  }
  ierr = PetscRandomCreate(PETSC_COMM_SELF, &rdm);CHKERRQ(ierr);
  ierr = PetscRandomSetFromOptions(rdm);CHKERRQ(ierr);

  for (DIM = 1; DIM < 5; DIM++){
    /* create vectors of length N=dim[0]*dim[1]* ...*dim[DIM-1] */
    /*----------------------------------------------------------*/
    N = Ny = 1;
    for (i = 0; i < DIM-1; i++) {
      N *= dim[i];
    }
    Ny = N; Ny *= 2*(dim[DIM-1]/2 + 1); /* add padding elements to output vector y */
    N *= dim[DIM-1];


    ierr = PetscPrintf(PETSC_COMM_SELF, "\n %d-D: FFTW on vector of size %d \n",DIM,N);CHKERRQ(ierr);
    ierr = VecCreateSeq(PETSC_COMM_SELF,N,&x);CHKERRQ(ierr);
    ierr = PetscObjectSetName((PetscObject) x, "Real space vector");CHKERRQ(ierr);

    ierr = VecCreateSeq(PETSC_COMM_SELF,Ny,&y);CHKERRQ(ierr);
    ierr = PetscObjectSetName((PetscObject) y, "Frequency space vector");CHKERRQ(ierr);

    ierr = VecDuplicate(x,&z);CHKERRQ(ierr);
    ierr = PetscObjectSetName((PetscObject) z, "Reconstructed vector");CHKERRQ(ierr);


    /* Set fftw plan                    */
    /*----------------------------------*/
    ierr = VecGetArray(x,&x_array);CHKERRQ(ierr);
    ierr = VecGetArray(y,&y_array);CHKERRQ(ierr);
    ierr = VecGetArray(z,&z_array);CHKERRQ(ierr);

    unsigned int flags = FFTW_ESTIMATE; //or FFTW_MEASURE
    /* The data in the in/out arrays is overwritten during FFTW_MEASURE planning, so such planning
     should be done before the input is initialized by the user. */
    printf("DIM: %d, N %d, Ny %d\n",DIM,N,Ny);

    switch (DIM){
    case 1:
      fplan = fftw_plan_dft_r2c_1d(dim[0], (double *)x_array, (fftw_complex*)y_array, flags);
      bplan = fftw_plan_dft_c2r_1d(dim[0], (fftw_complex*)y_array, (double *)z_array, flags);
      break;
    case 2:
      fplan = fftw_plan_dft_r2c_2d(dim[0],dim[1],(double *)x_array, (fftw_complex*)y_array,flags);
      bplan = fftw_plan_dft_c2r_2d(dim[0],dim[1],(fftw_complex*)y_array,(double *)z_array,flags);
      break;
    case 3:
      fplan = fftw_plan_dft_r2c_3d(dim[0],dim[1],dim[2],(double *)x_array, (fftw_complex*)y_array,flags);
      bplan = fftw_plan_dft_c2r_3d(dim[0],dim[1],dim[2],(fftw_complex*)y_array,(double *)z_array,flags);
      break;
    default:
      fplan = fftw_plan_dft_r2c(DIM,dim,(double *)x_array, (fftw_complex*)y_array,flags);
      bplan = fftw_plan_dft_c2r(DIM,dim,(fftw_complex*)y_array,(double *)z_array,flags);
      break;
    }

    ierr = VecRestoreArray(x,&x_array);CHKERRQ(ierr);
    ierr = VecRestoreArray(y,&y_array);CHKERRQ(ierr);
    ierr = VecRestoreArray(z,&z_array);CHKERRQ(ierr);

    /* Initialize Real space vector x:
       The data in the in/out arrays is overwritten during FFTW_MEASURE planning, so planning
       should be done before the input is initialized by the user.
    --------------------------------------------------------*/
//.........这里部分代码省略.........

开发者ID:erdc-cm，项目名称:petsc-dev，代码行数:101，代码来源:ex142.c

示例4: TestTriangle

PetscErrorCode TestTriangle(MPI_Comm comm, PetscBool interpolate, PetscBool transform)
{
  DM             dm;
  PetscRandom    r, ang, ang2;
  PetscInt       dim, t;
  PetscErrorCode ierr;

  PetscFunctionBegin;
  /* Create reference triangle */
  dim  = 2;
  ierr = DMCreate(comm, &dm);CHKERRQ(ierr);
  ierr = PetscObjectSetName((PetscObject) dm, "triangle");CHKERRQ(ierr);
  ierr = DMSetType(dm, DMPLEX);CHKERRQ(ierr);
  ierr = DMPlexSetDimension(dm, dim);CHKERRQ(ierr);
  {
    PetscInt    numPoints[2]        = {3, 1};
    PetscInt    coneSize[4]         = {3, 0, 0, 0};
    PetscInt    cones[3]            = {1, 2, 3};
    PetscInt    coneOrientations[3] = {0, 0, 0};
    PetscScalar vertexCoords[6]     = {-1.0, -1.0, 1.0, -1.0, -1.0, 1.0};

    ierr = DMPlexCreateFromDAG(dm, 1, numPoints, coneSize, cones, coneOrientations, vertexCoords);CHKERRQ(ierr);
    if (interpolate) {
      DM idm;

      ierr = DMPlexInterpolate(dm, &idm);CHKERRQ(ierr);
      ierr = PetscObjectSetName((PetscObject) idm, "triangle");CHKERRQ(ierr);
      ierr = DMPlexCopyCoordinates(dm, idm);CHKERRQ(ierr);
      ierr = DMDestroy(&dm);CHKERRQ(ierr);
      dm   = idm;
    }
    ierr = DMSetFromOptions(dm);CHKERRQ(ierr);
  }
  /* Check reference geometry: determinant is scaled by reference volume (2.0) */
  {
    PetscReal v0Ex[2]       = {-1.0, -1.0};
    PetscReal JEx[4]        = {1.0, 0.0, 0.0, 1.0};
    PetscReal invJEx[4]     = {1.0, 0.0, 0.0, 1.0};
    PetscReal detJEx        = 1.0;
    PetscReal centroidEx[2] = {-0.333333333333, -0.333333333333};
    PetscReal normalEx[2]   = {0.0, 0.0};
    PetscReal volEx         = 2.0;

    ierr = CheckFEMGeometry(dm, 0, dim, v0Ex, JEx, invJEx, detJEx);CHKERRQ(ierr);
    if (interpolate) {ierr = CheckFVMGeometry(dm, 0, dim, centroidEx, normalEx, volEx);CHKERRQ(ierr);}
  }
  /* Check random triangles: rotate, scale, then translate */
  if (transform) {
    ierr = PetscRandomCreate(PETSC_COMM_SELF, &r);CHKERRQ(ierr);
    ierr = PetscRandomSetFromOptions(r);CHKERRQ(ierr);
    ierr = PetscRandomSetInterval(r, 0.0, 10.0);CHKERRQ(ierr);
    ierr = PetscRandomCreate(PETSC_COMM_SELF, &ang);CHKERRQ(ierr);
    ierr = PetscRandomSetFromOptions(ang);CHKERRQ(ierr);
    ierr = PetscRandomSetInterval(ang, 0.0, 2*PETSC_PI);CHKERRQ(ierr);
    for (t = 0; t < 100; ++t) {
      PetscScalar vertexCoords[6] = {-1.0, -1.0, 1.0, -1.0, -1.0, 1.0}, trans[2];
      PetscReal   v0Ex[2]         = {-1.0, -1.0};
      PetscReal   JEx[4]          = {1.0, 0.0, 0.0, 1.0}, R[4], rot[2], rotM[4];
      PetscReal   invJEx[4]       = {1.0, 0.0, 0.0, 1.0};
      PetscReal   detJEx          = 1.0, scale, phi;
      PetscReal   centroidEx[2]   = {-0.333333333333, -0.333333333333};
      PetscReal   normalEx[2]     = {0.0, 0.0};
      PetscReal   volEx           = 2.0;
      PetscInt    d, e, f, p;

      ierr = PetscRandomGetValueReal(r, &scale);CHKERRQ(ierr);
      ierr = PetscRandomGetValueReal(ang, &phi);CHKERRQ(ierr);
      R[0] = cos(phi); R[1] = -sin(phi);
      R[2] = sin(phi); R[3] =  cos(phi);
      for (p = 0; p < 3; ++p) {
        for (d = 0; d < dim; ++d) {
          for (e = 0, rot[d] = 0.0; e < dim; ++e) {
            rot[d] += R[d*dim+e] * vertexCoords[p*dim+e];
          }
        }
        for (d = 0; d < dim; ++d) vertexCoords[p*dim+d] = rot[d];
      }
      for (d = 0; d < dim; ++d) {
        for (e = 0, rot[d] = 0.0; e < dim; ++e) {
          rot[d] += R[d*dim+e] * centroidEx[e];
        }
      }
      for (d = 0; d < dim; ++d) centroidEx[d] = rot[d];
      for (d = 0; d < dim; ++d) {
        for (e = 0; e < dim; ++e) {
          for (f = 0, rotM[d*dim+e] = 0.0; f < dim; ++f) {
            rotM[d*dim+e] += R[d*dim+f] * JEx[f*dim+e];
          }
        }
      }
      for (d = 0; d < dim; ++d) {
        for (e = 0; e < dim; ++e) {
          JEx[d*dim+e] = rotM[d*dim+e];
        }
      }
      for (d = 0; d < dim; ++d) {
        for (e = 0; e < dim; ++e) {
          for (f = 0, rotM[d*dim+e] = 0.0; f < dim; ++f) {
            rotM[d*dim+e] += invJEx[d*dim+f] * R[e*dim+f];
          }
//.........这里部分代码省略.........

开发者ID:feelpp，项目名称:debian-petsc，代码行数:101，代码来源:ex8.c

示例5: main

int main(int argc,char **args)
{
  Vec            x,b,u;      /* approx solution, RHS, exact solution */
  Mat            A;            /* linear system matrix */
  KSP            ksp;         /* KSP context */
  PetscErrorCode ierr;
  PetscInt       n = 10,its, dim,p = 1,use_random;
  PetscScalar    none = -1.0,pfive = 0.5;
  PetscReal      norm;
  PetscRandom    rctx;
  TestType       type;
  PetscBool      flg;

  PetscInitialize(&argc,&args,(char *)0,help);
  ierr = PetscOptionsGetInt(PETSC_NULL,"-n",&n,PETSC_NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetInt(PETSC_NULL,"-p",&p,PETSC_NULL);CHKERRQ(ierr);
  switch (p) {
    case 1:  type = TEST_1;      dim = n;   break;
    case 2:  type = TEST_2;      dim = n;   break;
    case 3:  type = TEST_3;      dim = n;   break;
    case 4:  type = HELMHOLTZ_1; dim = n*n; break;
    case 5:  type = HELMHOLTZ_2; dim = n*n; break;
    default: type = TEST_1;      dim = n;
  }

  /* Create vectors */
  ierr = VecCreate(PETSC_COMM_WORLD,&x);CHKERRQ(ierr);
  ierr = VecSetSizes(x,PETSC_DECIDE,dim);CHKERRQ(ierr);
  ierr = VecSetFromOptions(x);CHKERRQ(ierr);
  ierr = VecDuplicate(x,&b);CHKERRQ(ierr);
  ierr = VecDuplicate(x,&u);CHKERRQ(ierr);

  use_random = 1;
  flg        = PETSC_FALSE;
  ierr = PetscOptionsGetBool(PETSC_NULL,"-norandom",&flg,PETSC_NULL);CHKERRQ(ierr);
  if (flg) {
    use_random = 0;
    ierr = VecSet(u,pfive);CHKERRQ(ierr);
  } else {
    ierr = PetscRandomCreate(PETSC_COMM_WORLD,&rctx);CHKERRQ(ierr);
    ierr = PetscRandomSetFromOptions(rctx);CHKERRQ(ierr);
    ierr = VecSetRandom(u,rctx);CHKERRQ(ierr);
  }

  /* Create and assemble matrix */
  ierr = MatCreate(PETSC_COMM_WORLD,&A);CHKERRQ(ierr);
  ierr = MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,dim,dim);CHKERRQ(ierr);
  ierr = MatSetFromOptions(A);CHKERRQ(ierr);
  ierr = MatSetUp(A);CHKERRQ(ierr);
  ierr = FormTestMatrix(A,n,type);CHKERRQ(ierr);
  ierr = MatMult(A,u,b);CHKERRQ(ierr);
  flg  = PETSC_FALSE;
  ierr = PetscOptionsGetBool(PETSC_NULL,"-printout",&flg,PETSC_NULL);CHKERRQ(ierr);
  if (flg) {
    ierr = MatView(A,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
    ierr = VecView(u,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
    ierr = VecView(b,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
  }

  /* Create KSP context; set operators and options; solve linear system */
  ierr = KSPCreate(PETSC_COMM_WORLD,&ksp);CHKERRQ(ierr);
  ierr = KSPSetOperators(ksp,A,A,DIFFERENT_NONZERO_PATTERN);CHKERRQ(ierr);
  ierr = KSPSetFromOptions(ksp);CHKERRQ(ierr);
  ierr = KSPSolve(ksp,b,x);CHKERRQ(ierr);
  ierr = KSPView(ksp,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);

  /* Check error */
  ierr = VecAXPY(x,none,u);CHKERRQ(ierr);
  ierr  = VecNorm(x,NORM_2,&norm);CHKERRQ(ierr);
  ierr = KSPGetIterationNumber(ksp,&its);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_WORLD,"Norm of error %G,Iterations %D\n",norm,its);CHKERRQ(ierr);

  /* Free work space */
  ierr = VecDestroy(&x);CHKERRQ(ierr); ierr = VecDestroy(&u);CHKERRQ(ierr);
  ierr = VecDestroy(&b);CHKERRQ(ierr); ierr = MatDestroy(&A);CHKERRQ(ierr);
  if (use_random) {ierr = PetscRandomDestroy(&rctx);CHKERRQ(ierr);}
  ierr = KSPDestroy(&ksp);CHKERRQ(ierr);
  ierr = PetscFinalize();
  return 0;
}

开发者ID:Kun-Qu，项目名称:petsc，代码行数:80，代码来源:ex17.c

示例6: main

PetscInt main(PetscInt argc,char **args)
{
  typedef enum {RANDOM, CONSTANT, TANH, NUM_FUNCS} FuncType;
  const char    *funcNames[NUM_FUNCS] = {"random", "constant", "tanh"};
  Mat            A;
  PetscMPIInt    size;
  PetscInt       n = 10,N,ndim=4,dim[4],DIM,i;
  Vec            x,y,z;
  PetscScalar    s;
  PetscRandom    rdm;
  PetscReal      enorm;
  PetscInt       func;
  FuncType       function = RANDOM;
  PetscBool      view = PETSC_FALSE;
  PetscErrorCode ierr;

  ierr = PetscInitialize(&argc,&args,(char *)0,help);CHKERRQ(ierr);
#if !defined(PETSC_USE_COMPLEX)
  SETERRQ(PETSC_COMM_WORLD,PETSC_ERR_SUP, "This example requires complex numbers");
#endif
  ierr = MPI_Comm_size(PETSC_COMM_WORLD, &size);CHKERRQ(ierr);
  if (size != 1) SETERRQ(PETSC_COMM_WORLD,PETSC_ERR_SUP, "This is a uniprocessor example only!");
  ierr = PetscOptionsBegin(PETSC_COMM_WORLD, PETSC_NULL, "FFTW Options", "ex112");CHKERRQ(ierr);
    ierr = PetscOptionsEList("-function", "Function type", "ex112", funcNames, NUM_FUNCS, funcNames[function], &func, PETSC_NULL);CHKERRQ(ierr);
    ierr = PetscOptionsBool("-vec_view draw", "View the functions", "ex112", view, &view, PETSC_NULL);CHKERRQ(ierr);
    function = (FuncType) func;
  ierr = PetscOptionsEnd();CHKERRQ(ierr);

  for (DIM = 0; DIM < ndim; DIM++){
    dim[DIM] = n;  /* size of transformation in DIM-dimension */
  }
  ierr = PetscRandomCreate(PETSC_COMM_SELF, &rdm);CHKERRQ(ierr);
  ierr = PetscRandomSetFromOptions(rdm);CHKERRQ(ierr);

  for (DIM = 1; DIM < 5; DIM++){
    for (i = 0, N = 1; i < DIM; i++) N *= dim[i];
    ierr = PetscPrintf(PETSC_COMM_SELF, "\n %d-D: FFTW on vector of size %d \n",DIM,N);CHKERRQ(ierr);

    /* create FFTW object */
    ierr = MatCreateFFT(PETSC_COMM_SELF,DIM,dim,MATFFTW,&A);CHKERRQ(ierr);

    /* create vectors of length N=n^DIM */
    ierr = MatGetVecs(A,&x,&y);CHKERRQ(ierr);
    ierr = MatGetVecs(A,&z,PETSC_NULL);CHKERRQ(ierr);
    ierr = PetscObjectSetName((PetscObject) x, "Real space vector");CHKERRQ(ierr);
    ierr = PetscObjectSetName((PetscObject) y, "Frequency space vector");CHKERRQ(ierr);
    ierr = PetscObjectSetName((PetscObject) z, "Reconstructed vector");CHKERRQ(ierr);

    /* set values of space vector x */
    if (function == RANDOM) {
      ierr = VecSetRandom(x, rdm);CHKERRQ(ierr);
    } else if (function == CONSTANT) {
      ierr = VecSet(x, 1.0);CHKERRQ(ierr);
    } else if (function == TANH) {
      PetscScalar *a;
      ierr = VecGetArray(x, &a);CHKERRQ(ierr);
      for (i = 0; i < N; ++i) {
        a[i] = tanh((i - N/2.0)*(10.0/N));
      }
      ierr = VecRestoreArray(x, &a);CHKERRQ(ierr);
    }
    if (view) {ierr = VecView(x, PETSC_VIEWER_DRAW_WORLD);CHKERRQ(ierr);}

    /* apply FFTW_FORWARD and FFTW_BACKWARD several times on same x, y, and z */
    for (i=0; i<3; i++){
      ierr = MatMult(A,x,y);CHKERRQ(ierr);
      if (view && i == 0) {ierr = VecView(y, PETSC_VIEWER_DRAW_WORLD);CHKERRQ(ierr);}
      ierr = MatMultTranspose(A,y,z);CHKERRQ(ierr);

      /* compare x and z. FFTW computes an unnormalized DFT, thus z = N*x */
      s = 1.0/(PetscReal)N;
      ierr = VecScale(z,s);CHKERRQ(ierr);
      if (view && i == 0) {ierr = VecView(z, PETSC_VIEWER_DRAW_WORLD);CHKERRQ(ierr);}
      ierr = VecAXPY(z,-1.0,x);CHKERRQ(ierr);
      ierr = VecNorm(z,NORM_1,&enorm);CHKERRQ(ierr);
      if (enorm > 1.e-11){
        ierr = PetscPrintf(PETSC_COMM_SELF,"  Error norm of |x - z| %G\n",enorm);CHKERRQ(ierr);
      }
    }

    /* apply FFTW_FORWARD and FFTW_BACKWARD several times on different x */
    for (i=0; i<3; i++){
      ierr = VecDestroy(&x);CHKERRQ(ierr);
      ierr = VecCreateSeq(PETSC_COMM_SELF,N,&x);CHKERRQ(ierr);
      ierr = VecSetRandom(x, rdm);CHKERRQ(ierr);

      ierr = MatMult(A,x,y);CHKERRQ(ierr);
      ierr = MatMultTranspose(A,y,z);CHKERRQ(ierr);

      /* compare x and z. FFTW computes an unnormalized DFT, thus z = N*x */
      s = 1.0/(PetscReal)N;
      ierr = VecScale(z,s);CHKERRQ(ierr);
      if (view && i == 0) {ierr = VecView(z, PETSC_VIEWER_DRAW_WORLD);CHKERRQ(ierr);}
      ierr = VecAXPY(z,-1.0,x);CHKERRQ(ierr);
      ierr = VecNorm(z,NORM_1,&enorm);CHKERRQ(ierr);
      if (enorm > 1.e-11){
        ierr = PetscPrintf(PETSC_COMM_SELF,"  Error norm of new |x - z| %G\n",enorm);CHKERRQ(ierr);
      }
    }

//.........这里部分代码省略.........

开发者ID:erdc-cm，项目名称:petsc-dev，代码行数:101，代码来源:ex112.c

示例7: main

PetscInt main(PetscInt argc,char **args)
{
  PetscErrorCode  ierr;
  PetscMPIInt     rank,size;
  PetscInt        N0=3,N1=3,N2=3,N=N0*N1*N2;
  PetscRandom     rdm;
  PetscScalar     a;
  PetscReal       enorm;
  Vec             x,y,z,input,output;
  PetscBool       view=PETSC_FALSE,use_interface=PETSC_TRUE;
  Mat             A;
  PetscInt        DIM, dim[3],vsize;
  PetscReal       fac;

  ierr = PetscInitialize(&argc,&args,(char *)0,help);CHKERRQ(ierr);
#if defined(PETSC_USE_COMPLEX)
 SETERRQ(PETSC_COMM_WORLD,PETSC_ERR_SUP, "This example requires real numbers");
#endif

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


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

  ierr = VecCreate(PETSC_COMM_WORLD,&input);CHKERRQ(ierr);
  ierr = VecSetSizes(input,PETSC_DECIDE,N);CHKERRQ(ierr);
  ierr = VecSetFromOptions(input);CHKERRQ(ierr);
  ierr = VecSetRandom(input,rdm);CHKERRQ(ierr);
  ierr = VecDuplicate(input,&output);
//  ierr = VecGetSize(input,&vsize);CHKERRQ(ierr);
//  printf("Size of the input Vector is %d\n",vsize);

  DIM = 3;
  dim[0] = N0; dim[1] = N1; dim[2] = N2;

  ierr = MatCreateFFT(PETSC_COMM_WORLD,DIM,dim,MATFFTW,&A);CHKERRQ(ierr);
  ierr = MatGetVecs(A,&x,&y);CHKERRQ(ierr);
  ierr = MatGetVecs(A,&z,PETSC_NULL);CHKERRQ(ierr);
  ierr = VecGetSize(y,&vsize);CHKERRQ(ierr);
  printf("The vector size from the main routine is %d\n",vsize);

  ierr = InputTransformFFT(A,input,x);CHKERRQ(ierr);
  ierr = MatMult(A,x,y);CHKERRQ(ierr);
  ierr = MatMultTranspose(A,y,z);CHKERRQ(ierr);
  ierr = OutputTransformFFT(A,z,output);CHKERRQ(ierr);

  fac = 1.0/(PetscReal)N;
  ierr = VecScale(output,fac);CHKERRQ(ierr);

  ierr = VecAssemblyBegin(input);CHKERRQ(ierr);
  ierr = VecAssemblyEnd(input);CHKERRQ(ierr);
  ierr = VecAssemblyBegin(output);CHKERRQ(ierr);
  ierr = VecAssemblyEnd(output);CHKERRQ(ierr);

  ierr = VecView(input,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
  ierr = VecView(output,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);

  ierr = VecAXPY(output,-1.0,input);CHKERRQ(ierr);
  ierr = VecNorm(output,NORM_1,&enorm);CHKERRQ(ierr);
//  if (enorm > 1.e-14){
    if (!rank)
      ierr = PetscPrintf(PETSC_COMM_SELF,"  Error norm of |x - z| %e\n",enorm);CHKERRQ(ierr);
//      }




// ierr = MatGetVecs(A,&z,PETSC_NULL);CHKERRQ(ierr);
//  printf("Vector size from ex148 %d\n",vsize);
//  ierr = PetscObjectSetName((PetscObject) x, "Real space vector");CHKERRQ(ierr);
//      ierr = PetscObjectSetName((PetscObject) y, "Frequency space vector");CHKERRQ(ierr);
//      ierr = PetscObjectSetName((PetscObject) z, "Reconstructed vector");CHKERRQ(ierr);

  ierr = PetscFinalize();
  return 0;

}

开发者ID:erdc-cm，项目名称:petsc-dev，代码行数:79，代码来源:ex149.c

示例8: main


//.........这里部分代码省略.........
  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() */

开发者ID:ZJLi2013，项目名称:petsc，代码行数:67，代码来源:ex74.c

示例9: main

int main(int Argc,char **Args)
{
  PetscBool      flg;
  PetscInt       n   = -6;
  PetscScalar    rho = 1.0;
  PetscReal      h;
  PetscReal      beta = 1.0;
  DM             da;
  PetscRandom    rctx;
  PetscMPIInt    comm_size;
  Mat            H,HtH;
  PetscInt       x, y, xs, ys, xm, ym;
  PetscReal      r1, r2;
  PetscScalar    uxy1, uxy2;
  MatStencil     sxy, sxy_m;
  PetscScalar    val, valconj;
  Vec            b, Htb,xvec;
  KSP            kspmg;
  PC             pcmg;
  PetscErrorCode ierr;
  PetscInt       ix[1]   = {0};
  PetscScalar    vals[1] = {1.0};

  PetscInitialize(&Argc,&Args,(char*)0,help);
  ierr = PetscOptionsGetInt(NULL,"-size",&n,&flg);CHKERRQ(ierr);
  ierr = PetscOptionsGetReal(NULL,"-beta",&beta,&flg);CHKERRQ(ierr);
  ierr = PetscOptionsGetScalar(NULL,"-rho",&rho,&flg);CHKERRQ(ierr);

  /* Set the fudge parameters, we scale the whole thing by 1/(2*h) later */
  h    = 1.;
  rho *= 1./(2.*h);

  /* Geometry info */
  ierr = DMDACreate2d(PETSC_COMM_WORLD, DMDA_BOUNDARY_PERIODIC,DMDA_BOUNDARY_PERIODIC, DMDA_STENCIL_STAR, n, n,
                      PETSC_DECIDE, PETSC_DECIDE, 2 /* this is the # of dof's */,
                      1, NULL, NULL, &da);CHKERRQ(ierr);

  /* Random numbers */
  ierr = PetscRandomCreate(PETSC_COMM_WORLD,&rctx);CHKERRQ(ierr);
  ierr = PetscRandomSetFromOptions(rctx);CHKERRQ(ierr);

  /* Single or multi processor ? */
  ierr = MPI_Comm_size(PETSC_COMM_WORLD,&comm_size);CHKERRQ(ierr);

  /* construct matrix */
  ierr = DMSetMatType(da,MATAIJ);CHKERRQ(ierr);
  ierr = DMCreateMatrix(da, &H);CHKERRQ(ierr);

  /* get local corners for this processor */
  ierr = DMDAGetCorners(da,&xs,&ys,0,&xm,&ym,0);CHKERRQ(ierr);

  /* Assemble the matrix */
  for (x=xs; x<xs+xm; x++) {
    for (y=ys; y<ys+ym; y++) {
      /* each lattice point sets only the *forward* pointing parameters (right, down),
         i.e. Nabla_1^+ and Nabla_2^+.
         In this way we can use only local random number creation. That means
         we also have to set the corresponding backward pointing entries. */
      /* Compute some normally distributed random numbers via Box-Muller */
      ierr = PetscRandomGetValueReal(rctx, &r1);CHKERRQ(ierr);
      r1   = 1.-r1; /* to change from [0,1) to (0,1], which we need for the log */
      ierr = PetscRandomGetValueReal(rctx, &r2);CHKERRQ(ierr);
      PetscReal R = PetscSqrtReal(-2.*PetscLogReal(r1));
      PetscReal c = PetscCosReal(2.*PETSC_PI*r2);
      PetscReal s = PetscSinReal(2.*PETSC_PI*r2);

      /* use those to set the field */
      uxy1 = PetscExpScalar(((PetscScalar) (R*c/beta))*PETSC_i);
      uxy2 = PetscExpScalar(((PetscScalar) (R*s/beta))*PETSC_i);

      sxy.i = x; sxy.j = y; /* the point where we are */

      /* center action */
      sxy.c = 0; /* spin 0, 0 */
      ierr  = MatSetValuesStencil(H, 1, &sxy, 1, &sxy, &rho, ADD_VALUES);CHKERRQ(ierr);
      sxy.c = 1; /* spin 1, 1 */
      val   = -rho;
      ierr  = MatSetValuesStencil(H, 1, &sxy, 1, &sxy, &val, ADD_VALUES);CHKERRQ(ierr);

      sxy_m.i = x+1; sxy_m.j = y; /* right action */
      sxy.c   = 0; sxy_m.c = 0; /* spin 0, 0 */
      val     = -uxy1; valconj = PetscConj(val);
      ierr    = MatSetValuesStencil(H, 1, &sxy_m, 1, &sxy, &val, ADD_VALUES);CHKERRQ(ierr);
      ierr    = MatSetValuesStencil(H, 1, &sxy, 1, &sxy_m, &valconj, ADD_VALUES);CHKERRQ(ierr);
      sxy.c   = 0; sxy_m.c = 1; /* spin 0, 1 */
      val     = -uxy1; valconj = PetscConj(val);
      ierr    = MatSetValuesStencil(H, 1, &sxy_m, 1, &sxy, &val, ADD_VALUES);CHKERRQ(ierr);
      ierr    = MatSetValuesStencil(H, 1, &sxy, 1, &sxy_m, &valconj, ADD_VALUES);CHKERRQ(ierr);
      sxy.c   = 1; sxy_m.c = 0; /* spin 1, 0 */
      val     = uxy1; valconj = PetscConj(val);
      ierr    = MatSetValuesStencil(H, 1, &sxy_m, 1, &sxy, &val, ADD_VALUES);CHKERRQ(ierr);
      ierr    = MatSetValuesStencil(H, 1, &sxy, 1, &sxy_m, &valconj, ADD_VALUES);CHKERRQ(ierr);
      sxy.c   = 1; sxy_m.c = 1; /* spin 1, 1 */
      val     = uxy1; valconj = PetscConj(val);
      ierr    = MatSetValuesStencil(H, 1, &sxy_m, 1, &sxy, &val, ADD_VALUES);CHKERRQ(ierr);
      ierr    = MatSetValuesStencil(H, 1, &sxy, 1, &sxy_m, &valconj, ADD_VALUES);CHKERRQ(ierr);

      sxy_m.i = x; sxy_m.j = y+1; /* down action */
      sxy.c   = 0; sxy_m.c = 0; /* spin 0, 0 */
      val     = -uxy2; valconj = PetscConj(val);
//.........这里部分代码省略.........

开发者ID:hsahasra，项目名称:petsc-magma-dense-mat，代码行数:101，代码来源:ex39.c

示例10: main

PetscInt main(PetscInt argc,char **args)
{
  PetscErrorCode  ierr;
  PetscMPIInt     rank,size;
  PetscInt        N0=10,N1=10,N2=10,N3=10,N4=10,N=N0*N1*N2*N3*N4;
  PetscRandom     rdm;
  PetscReal       enorm;
  Vec             x,y,z,input,output;
  Mat             A;
  PetscInt        DIM, dim[5],vsize;
  PetscReal       fac;

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

  if (size!=1)
    SETERRQ(PETSC_COMM_WORLD,PETSC_ERR_SUP, "This is a uni-processor example only");
  ierr = PetscRandomCreate(PETSC_COMM_SELF, &rdm);CHKERRQ(ierr);
  ierr = PetscRandomSetFromOptions(rdm);CHKERRQ(ierr);
  ierr = VecCreate(PETSC_COMM_SELF,&input);CHKERRQ(ierr);
  ierr = VecSetSizes(input,N,N);CHKERRQ(ierr);
  ierr = VecSetFromOptions(input);CHKERRQ(ierr);
  ierr = VecSetRandom(input,rdm);CHKERRQ(ierr);
  ierr = VecDuplicate(input,&output);

  DIM = 5; dim[0] = N0; dim[1] = N1; dim[2] = N2; dim[3] = N3; dim[4] = N4;
  ierr = MatCreateFFT(PETSC_COMM_SELF,DIM,dim,MATFFTW,&A);CHKERRQ(ierr);
  ierr = MatGetVecs(A,&x,&y);CHKERRQ(ierr);
  ierr = MatGetVecs(A,&z,PETSC_NULL);CHKERRQ(ierr);

  ierr = VecGetSize(x,&vsize);CHKERRQ(ierr);
  printf("The vector size  of input from the main routine is %d\n",vsize);

  ierr = VecGetSize(z,&vsize);CHKERRQ(ierr);
  printf("The vector size of output from the main routine is %d\n",vsize);

  ierr = InputTransformFFT(A,input,x);CHKERRQ(ierr);

  ierr = MatMult(A,x,y);CHKERRQ(ierr);
  ierr = MatMultTranspose(A,y,z);CHKERRQ(ierr);

  ierr = OutputTransformFFT(A,z,output);CHKERRQ(ierr);
  fac = 1.0/(PetscReal)N;
  ierr = VecScale(output,fac);CHKERRQ(ierr);
/*
  ierr = VecAssemblyBegin(input);CHKERRQ(ierr);
  ierr = VecAssemblyEnd(input);CHKERRQ(ierr);
  ierr = VecAssemblyBegin(output);CHKERRQ(ierr);
  ierr = VecAssemblyEnd(output);CHKERRQ(ierr);

  ierr = VecView(input,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
  ierr = VecView(output,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
*/
  ierr = VecAXPY(output,-1.0,input);CHKERRQ(ierr);
  ierr = VecNorm(output,NORM_1,&enorm);CHKERRQ(ierr);
//  if (enorm > 1.e-14){
      ierr = PetscPrintf(PETSC_COMM_SELF,"  Error norm of |x - z| %e\n",enorm);CHKERRQ(ierr);
//      }

  ierr = VecDestroy(&output);CHKERRQ(ierr);
  ierr = VecDestroy(&input);CHKERRQ(ierr);
  ierr = VecDestroy(&x);CHKERRQ(ierr);
  ierr = VecDestroy(&y);CHKERRQ(ierr);
  ierr = VecDestroy(&z);CHKERRQ(ierr);
  ierr = MatDestroy(&A);CHKERRQ(ierr);
  ierr = PetscRandomDestroy(&rdm);CHKERRQ(ierr);
  PetscFinalize();
  return 0;

}

开发者ID:erdc-cm，项目名称:petsc-dev，代码行数:71，代码来源:ex153.c

示例11: main

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() */
//.........这里部分代码省略.........

开发者ID:firedrakeproject，项目名称:petsc，代码行数:101，代码来源:ex104.c

示例12: main

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);
}

开发者ID:hansec，项目名称:petsc，代码行数:74，代码来源:ex104.c

示例13: main

int main(int argc,char **argv)
{
  PetscMPIInt      rank,size;
  PetscInt         N            = 6,M=8,P=5,dof=1;
  PetscInt         stencil_width=1,pt=0,st=0;
  PetscErrorCode   ierr;
  PetscBool        flg2,flg3,isbinary,mpiio;
  DMBoundaryType   bx           = DM_BOUNDARY_NONE,by = DM_BOUNDARY_NONE,bz = DM_BOUNDARY_NONE;
  DMDAStencilType  stencil_type = DMDA_STENCIL_STAR;
  DM               da,da2;
  Vec              global1,global2;
  PetscScalar      mone = -1.0;
  PetscReal        norm;
  PetscViewer      viewer;
  PetscRandom      rdm;
#if defined(PETSC_HAVE_HDF5)
  PetscBool ishdf5;
#endif

  ierr = PetscInitialize(&argc,&argv,(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);
  ierr = PetscOptionsGetInt(NULL,NULL,"-N",&N,NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetInt(NULL,NULL,"-P",&P,NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetInt(NULL,NULL,"-dof",&dof,NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetInt(NULL,NULL,"-stencil_width",&stencil_width,NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetInt(NULL,NULL,"-periodic",&pt,NULL);CHKERRQ(ierr);
  if (pt == 1) bx = DM_BOUNDARY_PERIODIC;
  if (pt == 2) by = DM_BOUNDARY_PERIODIC;
  if (pt == 4) {bx = DM_BOUNDARY_PERIODIC; by = DM_BOUNDARY_PERIODIC;}

  ierr         = PetscOptionsGetInt(NULL,NULL,"-stencil_type",&st,NULL);CHKERRQ(ierr);
  stencil_type = (DMDAStencilType) st;

  ierr = PetscOptionsHasName(NULL,NULL,"-oned",&flg2);CHKERRQ(ierr);
  ierr = PetscOptionsHasName(NULL,NULL,"-twod",&flg2);CHKERRQ(ierr);
  ierr = PetscOptionsHasName(NULL,NULL,"-threed",&flg3);CHKERRQ(ierr);

  ierr = PetscOptionsHasName(NULL,NULL,"-binary",&isbinary);CHKERRQ(ierr);
#if defined(PETSC_HAVE_HDF5)
  ierr = PetscOptionsHasName(NULL,NULL,"-hdf5",&ishdf5);CHKERRQ(ierr);
#endif
  ierr = PetscOptionsHasName(NULL,NULL,"-mpiio",&mpiio);CHKERRQ(ierr);
  if (flg2) {
    ierr = DMDACreate2d(PETSC_COMM_WORLD,bx,by,stencil_type,M,N,PETSC_DECIDE,PETSC_DECIDE,dof,stencil_width,0,0,&da);CHKERRQ(ierr);
  } else if (flg3) {
    ierr = DMDACreate3d(PETSC_COMM_WORLD,bx,by,bz,stencil_type,M,N,P,PETSC_DECIDE,PETSC_DECIDE,PETSC_DECIDE,dof,stencil_width,0,0,0,&da);CHKERRQ(ierr);
  } else {
    ierr = DMDACreate1d(PETSC_COMM_WORLD,bx,M,dof,stencil_width,NULL,&da);CHKERRQ(ierr);
  }

  ierr = DMCreateGlobalVector(da,&global1);CHKERRQ(ierr);
  ierr = PetscObjectSetName((PetscObject)global1,"Test_Vec");CHKERRQ(ierr);
  ierr = PetscRandomCreate(PETSC_COMM_WORLD,&rdm);CHKERRQ(ierr);
  ierr = PetscRandomSetFromOptions(rdm);CHKERRQ(ierr);
  ierr = VecSetRandom(global1,rdm);CHKERRQ(ierr);
  if (isbinary) {
    if (mpiio) {
      ierr = PetscOptionsSetValue(NULL,"-viewer_binary_mpiio","");CHKERRQ(ierr);
    }
    ierr = PetscViewerBinaryOpen(PETSC_COMM_WORLD,"temp",FILE_MODE_WRITE,&viewer);CHKERRQ(ierr);
#if defined(PETSC_HAVE_HDF5)
  } else if (ishdf5) {
    ierr = PetscViewerHDF5Open(PETSC_COMM_WORLD,"temp",FILE_MODE_WRITE,&viewer);CHKERRQ(ierr);
#endif
  } else SETERRQ(PETSC_COMM_WORLD,PETSC_ERR_SUP,"Invalid Viewer : Run with -binary or -hdf5 option\n");
  ierr = VecView(global1,viewer);CHKERRQ(ierr);
  ierr = PetscViewerDestroy(&viewer);CHKERRQ(ierr);

  ierr = PetscPrintf(PETSC_COMM_WORLD,"Global vector written to temp file is \n");CHKERRQ(ierr);
  ierr = VecView(global1,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);

  if (flg2) {
    ierr = DMDACreate2d(PETSC_COMM_WORLD,bx,by,stencil_type,M,N,PETSC_DECIDE,PETSC_DECIDE,dof,stencil_width,0,0,&da2);CHKERRQ(ierr);
  } else if (flg3) {
    ierr = DMDACreate3d(PETSC_COMM_WORLD,bx,by,bz,stencil_type,M,N,P,PETSC_DECIDE,PETSC_DECIDE,PETSC_DECIDE,dof,stencil_width,0,0,0,&da2);CHKERRQ(ierr);
  } else {
    ierr = DMDACreate1d(PETSC_COMM_WORLD,bx,M,dof,stencil_width,NULL,&da2);CHKERRQ(ierr);
  }

  if (isbinary) {
    ierr = PetscViewerBinaryOpen(PETSC_COMM_WORLD,"temp",FILE_MODE_READ,&viewer);CHKERRQ(ierr);
#if defined(PETSC_HAVE_HDF5)
  } else if (ishdf5) {
    ierr = PetscViewerHDF5Open(PETSC_COMM_WORLD,"temp",FILE_MODE_READ,&viewer);CHKERRQ(ierr);
#endif
  } else SETERRQ(PETSC_COMM_WORLD,PETSC_ERR_SUP,"Invalid Viewer : Run with -binary or -hdf5 option\n");

  ierr = DMCreateGlobalVector(da2,&global2);CHKERRQ(ierr);
  ierr = PetscObjectSetName((PetscObject)global2,"Test_Vec");CHKERRQ(ierr);
  ierr = VecLoad(global2,viewer);CHKERRQ(ierr);
  ierr = PetscViewerDestroy(&viewer);CHKERRQ(ierr);

  ierr = PetscPrintf(PETSC_COMM_WORLD,"Global vector read from temp file is \n");CHKERRQ(ierr);
  ierr = VecView(global2,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
  ierr = VecAXPY(global2,mone,global1);CHKERRQ(ierr);
  ierr = VecNorm(global2,NORM_MAX,&norm);CHKERRQ(ierr);
  if (norm != 0.0) {
//.........这里部分代码省略.........

开发者ID:tom-klotz，项目名称:petsc，代码行数:101，代码来源:ex33.c

示例14: main

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C++ PetscRandomSetFromOptions函数代码示例

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