C++ MatCreate函数代码示例

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本文整理汇总了C++中MatCreate函数的典型用法代码示例。如果您正苦于以下问题：C++ MatCreate函数的具体用法？C++ MatCreate怎么用？C++ MatCreate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MatCreate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: main

int main(int argc,char **argv)
{
  Mat            A,A11,A12,A21,A22;
  Vec            X,X1,X2,Y,Z,Z1,Z2;
  PetscScalar    *a,*b,*x,*y,*z,v,one=1;
  PetscReal      nrm;
  PetscErrorCode ierr;
  PetscInt       size=8,size1=6,size2=2, i,j;

  PetscInitialize(&argc,&argv,0,help);

  /*
   * Create matrix and three vectors: these are all normal
   */
  ierr = PetscMalloc(size*size*sizeof(PetscScalar),&a);CHKERRQ(ierr);
  ierr = PetscMalloc(size*size*sizeof(PetscScalar),&b);CHKERRQ(ierr);
  for (i=0; i<size; i++) {
    for (j=0; j<size; j++) {
      a[i+j*size] = rand(); b[i+j*size] = a[i+j*size];
    }
  }
  ierr = MatCreate(MPI_COMM_SELF,&A);CHKERRQ(ierr);
  ierr = MatSetSizes(A,size,size,size,size);CHKERRQ(ierr);
  ierr = MatSetType(A,MATSEQDENSE);CHKERRQ(ierr);
  ierr = MatSeqDenseSetPreallocation(A,a);CHKERRQ(ierr);
  ierr = MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);

  ierr = PetscMalloc(size*sizeof(PetscScalar),&x);CHKERRQ(ierr);
  for (i=0; i<size; i++) {
    x[i] = one;
  }
  ierr = VecCreateSeqWithArray(MPI_COMM_SELF,1,size,x,&X);CHKERRQ(ierr);
  ierr = VecAssemblyBegin(X);CHKERRQ(ierr);
  ierr = VecAssemblyEnd(X);CHKERRQ(ierr);

  ierr = PetscMalloc(size*sizeof(PetscScalar),&y);CHKERRQ(ierr);
  ierr = VecCreateSeqWithArray(MPI_COMM_SELF,1,size,y,&Y);CHKERRQ(ierr);
  ierr = VecAssemblyBegin(Y);CHKERRQ(ierr);
  ierr = VecAssemblyEnd(Y);CHKERRQ(ierr);

  ierr = PetscMalloc(size*sizeof(PetscScalar),&z);CHKERRQ(ierr);
  ierr = VecCreateSeqWithArray(MPI_COMM_SELF,1,size,z,&Z);CHKERRQ(ierr);
  ierr = VecAssemblyBegin(Z);CHKERRQ(ierr);
  ierr = VecAssemblyEnd(Z);CHKERRQ(ierr);

  /*
   * Now create submatrices and subvectors
   */
  ierr = MatCreate(MPI_COMM_SELF,&A11);CHKERRQ(ierr);
  ierr = MatSetSizes(A11,size1,size1,size1,size1);CHKERRQ(ierr);
  ierr = MatSetType(A11,MATSEQDENSE);CHKERRQ(ierr);
  ierr = MatSeqDenseSetPreallocation(A11,b);CHKERRQ(ierr);
  ierr = MatSeqDenseSetLDA(A11,size);CHKERRQ(ierr);
  ierr = MatAssemblyBegin(A11,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(A11,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);

  ierr = MatCreate(MPI_COMM_SELF,&A12);CHKERRQ(ierr);
  ierr = MatSetSizes(A12,size1,size2,size1,size2);CHKERRQ(ierr);
  ierr = MatSetType(A12,MATSEQDENSE);CHKERRQ(ierr);
  ierr = MatSeqDenseSetPreallocation(A12,b+size1*size);CHKERRQ(ierr);
  ierr = MatSeqDenseSetLDA(A12,size);CHKERRQ(ierr);
  ierr = MatAssemblyBegin(A12,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(A12,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);

  ierr = MatCreate(MPI_COMM_SELF,&A21);CHKERRQ(ierr);
  ierr = MatSetSizes(A21,size2,size1,size2,size1);CHKERRQ(ierr);
  ierr = MatSetType(A21,MATSEQDENSE);CHKERRQ(ierr);
  ierr = MatSeqDenseSetPreallocation(A21,b+size1);CHKERRQ(ierr);
  ierr = MatSeqDenseSetLDA(A21,size);CHKERRQ(ierr);
  ierr = MatAssemblyBegin(A21,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(A21,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);

  ierr = MatCreate(MPI_COMM_SELF,&A22);CHKERRQ(ierr);
  ierr = MatSetSizes(A22,size2,size2,size2,size2);CHKERRQ(ierr);
  ierr = MatSetType(A22,MATSEQDENSE);CHKERRQ(ierr);
  ierr = MatSeqDenseSetPreallocation(A22,b+size1*size+size1);CHKERRQ(ierr);
  ierr = MatSeqDenseSetLDA(A22,size);CHKERRQ(ierr);
  ierr = MatAssemblyBegin(A22,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(A22,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);

  ierr = VecCreateSeqWithArray(MPI_COMM_SELF,1,size1,x,&X1);CHKERRQ(ierr);
  ierr = VecCreateSeqWithArray(MPI_COMM_SELF,1,size2,x+size1,&X2);CHKERRQ(ierr);
  ierr = VecCreateSeqWithArray(MPI_COMM_SELF,1,size1,z,&Z1);CHKERRQ(ierr);
  ierr = VecCreateSeqWithArray(MPI_COMM_SELF,1,size2,z+size1,&Z2);CHKERRQ(ierr);

  /*
   * Now multiple matrix times input in two ways;
   * compare the results
   */
  ierr = MatMult(A,X,Y);CHKERRQ(ierr);
  ierr = MatMult(A11,X1,Z1);CHKERRQ(ierr);
  ierr = MatMultAdd(A12,X2,Z1,Z1);CHKERRQ(ierr);
  ierr = MatMult(A22,X2,Z2);CHKERRQ(ierr);
  ierr = MatMultAdd(A21,X1,Z2,Z2);CHKERRQ(ierr);
  ierr = VecAXPY(Z,-1.0,Y);CHKERRQ(ierr);
  ierr = VecNorm(Z,NORM_2,&nrm);
  ierr = PetscPrintf(PETSC_COMM_WORLD,"Test1; error norm=%G\n",nrm);CHKERRQ(ierr);

  ierr = PetscPrintf(PETSC_COMM_WORLD,"MatMult the usual way:\n");CHKERRQ(ierr);
//.........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:ex2.c

示例2: main

int main(int argc,char **argv)
{
  Mat            M,C,K,A[3];      /* problem matrices */
  PEP            pep;             /* polynomial eigenproblem solver context */
  PetscInt       m=6,n,II,Istart,Iend,i,j;
  PetscScalar    z=1.0;
  PetscReal      h;
  char           str[50];
  PetscErrorCode ierr;

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

  ierr = PetscOptionsGetInt(NULL,"-m",&m,NULL);CHKERRQ(ierr);
  if (m<2) SETERRQ(PETSC_COMM_SELF,1,"m must be at least 2");
  ierr = PetscOptionsGetScalar(NULL,"-z",&z,NULL);CHKERRQ(ierr);
  h = 1.0/m;
  n = m*(m-1);
  ierr = SlepcSNPrintfScalar(str,50,z,PETSC_FALSE);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_WORLD,"\nAcoustic wave 2-D, n=%D (m=%D), z=%s\n\n",n,m,str);CHKERRQ(ierr);

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 
     Compute the matrices that define the eigensystem, (k^2*M+k*C+K)x=0
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

  /* K has a pattern similar to the 2D Laplacian */
  ierr = MatCreate(PETSC_COMM_WORLD,&K);CHKERRQ(ierr);
  ierr = MatSetSizes(K,PETSC_DECIDE,PETSC_DECIDE,n,n);CHKERRQ(ierr);
  ierr = MatSetFromOptions(K);CHKERRQ(ierr);
  ierr = MatSetUp(K);CHKERRQ(ierr);
  
  ierr = MatGetOwnershipRange(K,&Istart,&Iend);CHKERRQ(ierr);
  for (II=Istart;II<Iend;II++) {
    i = II/m; j = II-i*m;
    if (i>0) { ierr = MatSetValue(K,II,II-m,(j==m-1)?-0.5:-1.0,INSERT_VALUES);CHKERRQ(ierr); }
    if (i<m-2) { ierr = MatSetValue(K,II,II+m,(j==m-1)?-0.5:-1.0,INSERT_VALUES);CHKERRQ(ierr); }
    if (j>0) { ierr = MatSetValue(K,II,II-1,-1.0,INSERT_VALUES);CHKERRQ(ierr); }
    if (j<m-1) { ierr = MatSetValue(K,II,II+1,-1.0,INSERT_VALUES);CHKERRQ(ierr); }
    ierr = MatSetValue(K,II,II,(j==m-1)?2.0:4.0,INSERT_VALUES);CHKERRQ(ierr);
  }

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

  /* C is the zero matrix except for a few nonzero elements on the diagonal */
  ierr = MatCreate(PETSC_COMM_WORLD,&C);CHKERRQ(ierr);
  ierr = MatSetSizes(C,PETSC_DECIDE,PETSC_DECIDE,n,n);CHKERRQ(ierr);
  ierr = MatSetFromOptions(C);CHKERRQ(ierr);
  ierr = MatSetUp(C);CHKERRQ(ierr);

  ierr = MatGetOwnershipRange(C,&Istart,&Iend);CHKERRQ(ierr);
  for (i=Istart;i<Iend;i++) {
    if (i%m==m-1) {
      ierr = MatSetValue(C,i,i,-2*PETSC_PI*h/z,INSERT_VALUES);CHKERRQ(ierr);
    }
  }
  ierr = MatAssemblyBegin(C,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(C,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  
  /* M is a diagonal matrix */
  ierr = MatCreate(PETSC_COMM_WORLD,&M);CHKERRQ(ierr);
  ierr = MatSetSizes(M,PETSC_DECIDE,PETSC_DECIDE,n,n);CHKERRQ(ierr);
  ierr = MatSetFromOptions(M);CHKERRQ(ierr);
  ierr = MatSetUp(M);CHKERRQ(ierr);

  ierr = MatGetOwnershipRange(M,&Istart,&Iend);CHKERRQ(ierr);
  for (i=Istart;i<Iend;i++) {
    if (i%m==m-1) {
      ierr = MatSetValue(M,i,i,2*PETSC_PI*PETSC_PI*h*h,INSERT_VALUES);CHKERRQ(ierr);
    } else {
      ierr = MatSetValue(M,i,i,4*PETSC_PI*PETSC_PI*h*h,INSERT_VALUES);CHKERRQ(ierr);
    }
  }
  ierr = MatAssemblyBegin(M,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(M,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  
  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 
                Create the eigensolver and solve the problem
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

  ierr = PEPCreate(PETSC_COMM_WORLD,&pep);CHKERRQ(ierr);
  A[0] = K; A[1] = C; A[2] = M;
  ierr = PEPSetOperators(pep,3,A);CHKERRQ(ierr);
  ierr = PEPSetFromOptions(pep);CHKERRQ(ierr);
  ierr = PEPSolve(pep);CHKERRQ(ierr);

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                    Display solution and clean up
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
  
  ierr = PEPPrintSolution(pep,NULL);CHKERRQ(ierr);
  ierr = PEPDestroy(&pep);CHKERRQ(ierr);
  ierr = MatDestroy(&M);CHKERRQ(ierr);
  ierr = MatDestroy(&C);CHKERRQ(ierr);
  ierr = MatDestroy(&K);CHKERRQ(ierr);
  ierr = SlepcFinalize();CHKERRQ(ierr);
  return 0;
}

开发者ID:OpenCMISS-Dependencies，项目名称:slepc，代码行数:97，代码来源:acoustic_wave_2d.c

示例3: main

int main(int argc,char **argv)
{
  Mat            A[NMAT];         /* problem matrices */
  PEP            pep;             /* polynomial eigenproblem solver context */
  PetscInt       n,m=8,k,II,Istart,Iend,i,j;
  PetscReal      c[10] = { 0.6, 1.3, 1.3, 0.1, 0.1, 1.2, 1.0, 1.0, 1.2, 1.0 };
  PetscBool      flg;
  PetscErrorCode ierr;

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

  ierr = PetscOptionsGetInt(NULL,"-m",&m,NULL);CHKERRQ(ierr);
  n = m*m;
  k = 10;
  ierr = PetscOptionsGetRealArray(NULL,"-c",c,&k,&flg);CHKERRQ(ierr);
  if (flg && k!=10) SETERRQ1(PETSC_COMM_WORLD,1,"The number of parameters -c should be 10, you provided %D",k); 
  ierr = PetscPrintf(PETSC_COMM_WORLD,"\nButterfly problem, n=%D (m=%D)\n\n",n,m);CHKERRQ(ierr);

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 
                     Compute the polynomial matrices 
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

  /* initialize matrices */
  for (i=0;i<NMAT;i++) {
    ierr = MatCreate(PETSC_COMM_WORLD,&A[i]);CHKERRQ(ierr);
    ierr = MatSetSizes(A[i],PETSC_DECIDE,PETSC_DECIDE,n,n);CHKERRQ(ierr);
    ierr = MatSetFromOptions(A[i]);CHKERRQ(ierr);
    ierr = MatSetUp(A[i]);CHKERRQ(ierr);
  }
  ierr = MatGetOwnershipRange(A[0],&Istart,&Iend);CHKERRQ(ierr);

  /* A0 */
  for (II=Istart;II<Iend;II++) {
    i = II/m; j = II-i*m;
    ierr = MatSetValue(A[0],II,II,4.0*c[0]/6.0+4.0*c[1]/6.0,INSERT_VALUES);CHKERRQ(ierr);
    if (j>0) { ierr = MatSetValue(A[0],II,II-1,c[0]/6.0,INSERT_VALUES);CHKERRQ(ierr); }
    if (j<m-1) { ierr = MatSetValue(A[0],II,II+1,c[0]/6.0,INSERT_VALUES);CHKERRQ(ierr); }
    if (i>0) { ierr = MatSetValue(A[0],II,II-m,c[1]/6.0,INSERT_VALUES);CHKERRQ(ierr); }
    if (i<m-1) { ierr = MatSetValue(A[0],II,II+m,c[1]/6.0,INSERT_VALUES);CHKERRQ(ierr); }
  }

  /* A1 */
  for (II=Istart;II<Iend;II++) {
    i = II/m; j = II-i*m;
    if (j>0) { ierr = MatSetValue(A[1],II,II-1,c[2],INSERT_VALUES);CHKERRQ(ierr); }
    if (j<m-1) { ierr = MatSetValue(A[1],II,II+1,-c[2],INSERT_VALUES);CHKERRQ(ierr); }
    if (i>0) { ierr = MatSetValue(A[1],II,II-m,c[3],INSERT_VALUES);CHKERRQ(ierr); }
    if (i<m-1) { ierr = MatSetValue(A[1],II,II+m,-c[3],INSERT_VALUES);CHKERRQ(ierr); }
  }

  /* A2 */
  for (II=Istart;II<Iend;II++) {
    i = II/m; j = II-i*m;
    ierr = MatSetValue(A[2],II,II,-2.0*c[4]-2.0*c[5],INSERT_VALUES);CHKERRQ(ierr);
    if (j>0) { ierr = MatSetValue(A[2],II,II-1,c[4],INSERT_VALUES);CHKERRQ(ierr); }
    if (j<m-1) { ierr = MatSetValue(A[2],II,II+1,c[4],INSERT_VALUES);CHKERRQ(ierr); }
    if (i>0) { ierr = MatSetValue(A[2],II,II-m,c[5],INSERT_VALUES);CHKERRQ(ierr); }
    if (i<m-1) { ierr = MatSetValue(A[2],II,II+m,c[5],INSERT_VALUES);CHKERRQ(ierr); }
  }

  /* A3 */
  for (II=Istart;II<Iend;II++) {
    i = II/m; j = II-i*m;
    if (j>0) { ierr = MatSetValue(A[3],II,II-1,c[6],INSERT_VALUES);CHKERRQ(ierr); }
    if (j<m-1) { ierr = MatSetValue(A[3],II,II+1,-c[6],INSERT_VALUES);CHKERRQ(ierr); }
    if (i>0) { ierr = MatSetValue(A[3],II,II-m,c[7],INSERT_VALUES);CHKERRQ(ierr); }
    if (i<m-1) { ierr = MatSetValue(A[3],II,II+m,-c[7],INSERT_VALUES);CHKERRQ(ierr); }
  }

  /* A4 */
  for (II=Istart;II<Iend;II++) {
    i = II/m; j = II-i*m;
    ierr = MatSetValue(A[4],II,II,2.0*c[8]+2.0*c[9],INSERT_VALUES);CHKERRQ(ierr);
    if (j>0) { ierr = MatSetValue(A[4],II,II-1,-c[8],INSERT_VALUES);CHKERRQ(ierr); }
    if (j<m-1) { ierr = MatSetValue(A[4],II,II+1,-c[8],INSERT_VALUES);CHKERRQ(ierr); }
    if (i>0) { ierr = MatSetValue(A[4],II,II-m,-c[9],INSERT_VALUES);CHKERRQ(ierr); }
    if (i<m-1) { ierr = MatSetValue(A[4],II,II+m,-c[9],INSERT_VALUES);CHKERRQ(ierr); }
  }

  /* assemble matrices */
  for (i=0;i<NMAT;i++) {
    ierr = MatAssemblyBegin(A[i],MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  }
  for (i=0;i<NMAT;i++) {
    ierr = MatAssemblyEnd(A[i],MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  }

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 
                Create the eigensolver and solve the problem
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

  ierr = PEPCreate(PETSC_COMM_WORLD,&pep);CHKERRQ(ierr);
  ierr = PEPSetOperators(pep,NMAT,A);CHKERRQ(ierr);
  ierr = PEPSetFromOptions(pep);CHKERRQ(ierr);
  ierr = PEPSolve(pep);CHKERRQ(ierr);

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                    Display solution and clean up
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
  
//.........这里部分代码省略.........

开发者ID:OpenCMISS-Dependencies，项目名称:slepc，代码行数:101，代码来源:butterfly.c

示例4: 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5: main

int main(int argc,char **args)
{
  Mat            C;
  Vec            u,b;
  PetscErrorCode ierr;
  PetscMPIInt    size,rank;
  PetscInt       i,m = 5,N,start,end,M,idx[4];
  PetscInt       j,nrsub,ncsub,*rsub,*csub,mystart,myend;
  PetscBool      flg;
  PetscScalar    one = 1.0,Ke[16],*vals;
  PetscReal      h,norm;

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

  N    = (m+1)*(m+1); /* dimension of matrix */
  M    = m*m;      /* number of elements */
  h    = 1.0/m;    /* mesh width */
  ierr = MPI_Comm_rank(PETSC_COMM_WORLD,&rank);CHKERRQ(ierr);
  ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRQ(ierr);

  /* Create stiffness matrix */
  ierr = MatCreate(PETSC_COMM_WORLD,&C);CHKERRQ(ierr);
  ierr = MatSetSizes(C,PETSC_DECIDE,PETSC_DECIDE,N,N);CHKERRQ(ierr);
  ierr = MatSetFromOptions(C);CHKERRQ(ierr);
  ierr = MatSetUp(C);CHKERRQ(ierr);

  start = rank*(M/size) + ((M%size) < rank ? (M%size) : rank);
  end   = start + M/size + ((M%size) > rank);

  /* Form the element stiffness for the Laplacian */
  ierr = FormElementStiffness(h*h,Ke);CHKERRQ(ierr);
  for (i=start; i<end; i++) {
    /* location of lower left corner of element */
    /* node numbers for the four corners of element */
    idx[0] = (m+1)*(i/m) + (i % m);
    idx[1] = idx[0]+1; idx[2] = idx[1] + m + 1; idx[3] = idx[2] - 1;
    ierr   = MatSetValues(C,4,idx,4,idx,Ke,ADD_VALUES);CHKERRQ(ierr);
  }
  ierr = MatAssemblyBegin(C,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(C,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);

  /* Assemble the matrix again */
  ierr = MatZeroEntries(C);CHKERRQ(ierr);

  for (i=start; i<end; i++) {
    /* location of lower left corner of element */
    /* node numbers for the four corners of element */
    idx[0] = (m+1)*(i/m) + (i % m);
    idx[1] = idx[0]+1; idx[2] = idx[1] + m + 1; idx[3] = idx[2] - 1;
    ierr   = MatSetValues(C,4,idx,4,idx,Ke,ADD_VALUES);CHKERRQ(ierr);
  }
  ierr = MatAssemblyBegin(C,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(C,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);

  /* Create test vectors */
  ierr = VecCreate(PETSC_COMM_WORLD,&u);CHKERRQ(ierr);
  ierr = VecSetSizes(u,PETSC_DECIDE,N);CHKERRQ(ierr);
  ierr = VecSetFromOptions(u);CHKERRQ(ierr);
  ierr = VecDuplicate(u,&b);CHKERRQ(ierr);
  ierr = VecSet(u,one);CHKERRQ(ierr);

  /* Check error */
  ierr = MatMult(C,u,b);CHKERRQ(ierr);
  ierr = VecNorm(b,NORM_2,&norm);CHKERRQ(ierr);
  if (norm > PETSC_SQRT_MACHINE_EPSILON) {
    ierr = PetscPrintf(PETSC_COMM_WORLD,"Norm of error b %g should be near 0\n",(double)norm);CHKERRQ(ierr);
  }

  /* Now test MatGetValues() */
  ierr = PetscOptionsHasName(NULL,NULL,"-get_values",&flg);CHKERRQ(ierr);
  if (flg) {
    ierr  = MatGetOwnershipRange(C,&mystart,&myend);CHKERRQ(ierr);
    nrsub = myend - mystart; ncsub = 4;
    ierr  = PetscMalloc1(nrsub*ncsub,&vals);CHKERRQ(ierr);
    ierr  = PetscMalloc1(nrsub,&rsub);CHKERRQ(ierr);
    ierr  = PetscMalloc1(ncsub,&csub);CHKERRQ(ierr);
    for (i=myend-1; i>=mystart; i--) rsub[myend-i-1] = i;
    for (i=0; i<ncsub; i++) csub[i] = 2*(ncsub-i) + mystart;
    ierr = MatGetValues(C,nrsub,rsub,ncsub,csub,vals);CHKERRQ(ierr);
    ierr = MatView(C,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
    ierr = PetscSynchronizedPrintf(PETSC_COMM_WORLD,"processor number %d: start=%D, end=%D, mystart=%D, myend=%D\n",rank,start,end,mystart,myend);CHKERRQ(ierr);
    for (i=0; i<nrsub; i++) {
      for (j=0; j<ncsub; j++) {
        if (PetscImaginaryPart(vals[i*ncsub+j]) != 0.0) {
          ierr = PetscSynchronizedPrintf(PETSC_COMM_WORLD,"  C[%D, %D] = %g + %g i\n",rsub[i],csub[j],(double)PetscRealPart(vals[i*ncsub+j]),(double)PetscImaginaryPart(vals[i*ncsub+j]));CHKERRQ(ierr);
        } else {
          ierr = PetscSynchronizedPrintf(PETSC_COMM_WORLD,"  C[%D, %D] = %g\n",rsub[i],csub[j],(double)PetscRealPart(vals[i*ncsub+j]));CHKERRQ(ierr);
        }
      }
    }
    ierr = PetscSynchronizedFlush(PETSC_COMM_WORLD,PETSC_STDOUT);CHKERRQ(ierr);
    ierr = PetscFree(rsub);CHKERRQ(ierr);
    ierr = PetscFree(csub);CHKERRQ(ierr);
    ierr = PetscFree(vals);CHKERRQ(ierr);
  }

  /* Free data structures */
  ierr = VecDestroy(&u);CHKERRQ(ierr);
  ierr = VecDestroy(&b);CHKERRQ(ierr);
//.........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:ex19.c

示例6: main

int main(int argc,char **argv)
{
  TS             ts;            /* nonlinear solver */
  Vec            x;             /* solution, residual vectors */
  Mat            A;             /* Jacobian matrix */
  Mat            Jacp;          /* JacobianP matrix */
  PetscInt       steps;
  PetscReal      ftime   =0.5;
  PetscBool      monitor = PETSC_FALSE;
  PetscScalar    *x_ptr;
  PetscMPIInt    size;
  struct _n_User user;
  PetscErrorCode ierr;
  Vec            lambda[2],mu[2];

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     Initialize program
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
  PetscInitialize(&argc,&argv,NULL,help);

  ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRQ(ierr);
  if (size != 1) SETERRQ(PETSC_COMM_SELF,1,"This is a uniprocessor example only!");

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    Set runtime options
    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
  user.mu          = 1;
  user.next_output = 0.0;


  ierr = PetscOptionsGetReal(NULL,NULL,"-mu",&user.mu,NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetBool(NULL,NULL,"-monitor",&monitor,NULL);CHKERRQ(ierr);

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    Create necessary matrix and vectors, solve same ODE on every process
    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
  ierr = MatCreate(PETSC_COMM_WORLD,&A);CHKERRQ(ierr);
  ierr = MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,2,2);CHKERRQ(ierr);
  ierr = MatSetFromOptions(A);CHKERRQ(ierr);
  ierr = MatSetUp(A);CHKERRQ(ierr);
  ierr = MatCreateVecs(A,&x,NULL);CHKERRQ(ierr);

  ierr = MatCreate(PETSC_COMM_WORLD,&Jacp);CHKERRQ(ierr);
  ierr = MatSetSizes(Jacp,PETSC_DECIDE,PETSC_DECIDE,2,1);CHKERRQ(ierr);
  ierr = MatSetFromOptions(Jacp);CHKERRQ(ierr);
  ierr = MatSetUp(Jacp);CHKERRQ(ierr);

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     Create timestepping solver context
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
  ierr = TSCreate(PETSC_COMM_WORLD,&ts);CHKERRQ(ierr);
  ierr = TSSetType(ts,TSRK);CHKERRQ(ierr);
  ierr = TSSetRHSFunction(ts,NULL,RHSFunction,&user);CHKERRQ(ierr);
  ierr = TSSetDuration(ts,PETSC_DEFAULT,ftime);CHKERRQ(ierr);
  ierr = TSSetExactFinalTime(ts,TS_EXACTFINALTIME_MATCHSTEP);CHKERRQ(ierr);
  if (monitor) {
    ierr = TSMonitorSet(ts,Monitor,&user,NULL);CHKERRQ(ierr);
  }

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     Set initial conditions
   - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
  ierr = VecGetArray(x,&x_ptr);CHKERRQ(ierr);

  x_ptr[0] = 2;   x_ptr[1] = 0.66666654321;
  ierr = VecRestoreArray(x,&x_ptr);CHKERRQ(ierr);
  ierr = TSSetInitialTimeStep(ts,0.0,.001);CHKERRQ(ierr);

  /*
    Have the TS save its trajectory so that TSAdjointSolve() may be used
  */
  ierr = TSSetSaveTrajectory(ts);CHKERRQ(ierr);

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     Set runtime options
   - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
  ierr = TSSetFromOptions(ts);CHKERRQ(ierr);

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     Solve nonlinear system
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
  ierr = TSSolve(ts,x);CHKERRQ(ierr);
  ierr = TSGetSolveTime(ts,&ftime);CHKERRQ(ierr);
  ierr = TSGetTimeStepNumber(ts,&steps);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_WORLD,"mu %g, steps %D, ftime %g\n",(double)user.mu,steps,(double)ftime);CHKERRQ(ierr);
  ierr = VecView(x,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);

  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     Start the Adjoint model
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
  ierr = MatCreateVecs(A,&lambda[0],NULL);CHKERRQ(ierr);
  ierr = MatCreateVecs(A,&lambda[1],NULL);CHKERRQ(ierr);
  /*   Reset initial conditions for the adjoint integration */
  ierr = VecGetArray(lambda[0],&x_ptr);CHKERRQ(ierr);
  x_ptr[0] = 1.0;   x_ptr[1] = 0.0;
  ierr = VecRestoreArray(lambda[0],&x_ptr);CHKERRQ(ierr);
  ierr = VecGetArray(lambda[1],&x_ptr);CHKERRQ(ierr);
  x_ptr[0] = 0.0;   x_ptr[1] = 1.0;
  ierr = VecRestoreArray(lambda[1],&x_ptr);CHKERRQ(ierr);

//.........这里部分代码省略.........

开发者ID:masa-ito，项目名称:PETScToPoisson，代码行数:101，代码来源:ex16adj.c

示例7: MatPtAPSymbolic_MPIAIJ_MPIAIJ


//.........这里部分代码省略.........
      /* add non-zero cols of AP into the sorted linked list lnk */
      ierr = PetscLLCondensedAddSorted(apnz,Jptr,lnk,lnkbt);CHKERRQ(ierr);
    }

    /* add received col data into lnk */
    for (k=0; k<merge->nrecv; k++) { /* k-th received message */
      if (i == *nextrow[k]) { /* i-th row */
        nzi  = *(nextci[k]+1) - *nextci[k];
        Jptr = buf_rj[k] + *nextci[k];
        ierr = PetscLLCondensedAddSorted(nzi,Jptr,lnk,lnkbt);CHKERRQ(ierr);
        nextrow[k]++; nextci[k]++;
      }
    }
    nnz = lnk[0];

    /* if free space is not available, make more free space */
    if (current_space->local_remaining<nnz) {
      ierr = PetscFreeSpaceGet(nnz+current_space->total_array_size,&current_space);CHKERRQ(ierr);
      nspacedouble++;
    }
    /* copy data into free space, then initialize lnk */
    ierr = PetscLLCondensedClean(pN,nnz,current_space->array,lnk,lnkbt);CHKERRQ(ierr);
    ierr = MatPreallocateSet(i+owners[rank],nnz,current_space->array,dnz,onz);CHKERRQ(ierr);

    current_space->array           += nnz;
    current_space->local_used      += nnz;
    current_space->local_remaining -= nnz;

    pti[i+1] = pti[i] + nnz;
    if (nnz > rmax) rmax = nnz;
  }
  ierr = MatRestoreSymbolicTranspose_SeqAIJ(p->A,&pdti,&pdtj);CHKERRQ(ierr);
  ierr = PetscFree3(buf_ri_k,nextrow,nextci);CHKERRQ(ierr);

  ierr      = PetscMalloc1((pti[pn]+1),&ptj);CHKERRQ(ierr);
  ierr      = PetscFreeSpaceContiguous(&free_space,ptj);CHKERRQ(ierr);
  afill_tmp = (PetscReal)pti[pn]/(pi_loc[pm] + api[am]+1);
  if (afill_tmp > afill) afill = afill_tmp;
  ierr = PetscLLDestroy(lnk,lnkbt);CHKERRQ(ierr);

  /* create symbolic parallel matrix Cmpi */
  /*--------------------------------------*/
  ierr = MatCreate(comm,&Cmpi);CHKERRQ(ierr);
  ierr = MatSetSizes(Cmpi,pn,pn,PETSC_DETERMINE,PETSC_DETERMINE);CHKERRQ(ierr);
  ierr = MatSetBlockSizes(Cmpi,P->cmap->bs,P->cmap->bs);CHKERRQ(ierr);
  ierr = MatSetType(Cmpi,MATMPIAIJ);CHKERRQ(ierr);
  ierr = MatMPIAIJSetPreallocation(Cmpi,0,dnz,0,onz);CHKERRQ(ierr);
  ierr = MatPreallocateFinalize(dnz,onz);CHKERRQ(ierr);

  merge->bi        = pti;      /* Cseq->i */
  merge->bj        = ptj;      /* Cseq->j */
  merge->coi       = coi;      /* Co->i   */
  merge->coj       = coj;      /* Co->j   */
  merge->buf_ri    = buf_ri;
  merge->buf_rj    = buf_rj;
  merge->owners_co = owners_co;
  merge->destroy   = Cmpi->ops->destroy;
  merge->duplicate = Cmpi->ops->duplicate;

  /* Cmpi is not ready for use - assembly will be done by MatPtAPNumeric() */
  Cmpi->assembled      = PETSC_FALSE;
  Cmpi->ops->destroy   = MatDestroy_MPIAIJ_PtAP;
  Cmpi->ops->duplicate = MatDuplicate_MPIAIJ_MatPtAP;

  /* attach the supporting struct to Cmpi for reuse */
  c           = (Mat_MPIAIJ*)Cmpi->data;
  c->ptap     = ptap;
  ptap->api   = api;
  ptap->apj   = apj;
  ptap->rmax  = ap_rmax;
  *C          = Cmpi;

  /* flag 'scalable' determines which implementations to be used:
       0: do dense axpy in MatPtAPNumeric() - fast, but requires storage of a nonscalable dense array apa;
       1: do sparse axpy in MatPtAPNumeric() - might slow, uses a sparse array apa */
  /* set default scalable */
  ptap->scalable = PETSC_TRUE;

  ierr = PetscOptionsGetBool(((PetscObject)Cmpi)->prefix,"-matptap_scalable",&ptap->scalable,NULL);CHKERRQ(ierr);
  if (!ptap->scalable) {  /* Do dense axpy */
    ierr = PetscCalloc1(pN,&ptap->apa);CHKERRQ(ierr);
  } else {
    ierr = PetscCalloc1(ap_rmax+1,&ptap->apa);CHKERRQ(ierr);
  }

#if defined(PTAP_PROFILE)
  ierr = PetscTime(&t4);CHKERRQ(ierr);
  if (rank==1) PetscPrintf(MPI_COMM_SELF,"  [%d] PtAPSymbolic %g/P + %g/AP + %g/comm + %g/PtAP = %g\n",rank,t1-t0,t2-t1,t3-t2,t4-t3,t4-t0);CHKERRQ(ierr);
#endif

#if defined(PETSC_USE_INFO)
  if (pti[pn] != 0) {
    ierr = PetscInfo3(Cmpi,"Reallocs %D; Fill ratio: given %G needed %G.\n",nspacedouble,fill,afill);CHKERRQ(ierr);
    ierr = PetscInfo1(Cmpi,"Use MatPtAP(A,P,MatReuse,%G,&C) for best performance.\n",afill);CHKERRQ(ierr);
  } else {
    ierr = PetscInfo(Cmpi,"Empty matrix product\n");CHKERRQ(ierr);
  }
#endif
  PetscFunctionReturn(0);
}

开发者ID:ZJLi2013，项目名称:petsc，代码行数:101，代码来源:mpiptap.c

示例8: MatGetMultiProcBlock_MPIAIJ

/*
    Developers Note: This is used directly by some preconditioners, hence is PETSC_EXTERN
*/
PETSC_EXTERN PetscErrorCode  MatGetMultiProcBlock_MPIAIJ(Mat mat, MPI_Comm subComm, MatReuse scall,Mat *subMat)
{
  PetscErrorCode ierr;
  Mat_MPIAIJ     *aij  = (Mat_MPIAIJ*)mat->data;
  Mat_SeqAIJ     *aijB = (Mat_SeqAIJ*)aij->B->data;
  PetscMPIInt    commRank,subCommSize,subCommRank;
  PetscMPIInt    *commRankMap,subRank,rank,commsize;
  PetscInt       *garrayCMap,col,i,j,*nnz,newRow,newCol;

  PetscFunctionBegin;
  ierr = MPI_Comm_size(PetscObjectComm((PetscObject)mat),&commsize);CHKERRQ(ierr);
  ierr = MPI_Comm_size(subComm,&subCommSize);CHKERRQ(ierr);

  /* create subMat object with the relavent layout */
  if (scall == MAT_INITIAL_MATRIX) {
    ierr = MatCreate(subComm,subMat);CHKERRQ(ierr);
    ierr = MatSetType(*subMat,MATMPIAIJ);CHKERRQ(ierr);
    ierr = MatSetSizes(*subMat,mat->rmap->n,mat->cmap->n,PETSC_DECIDE,PETSC_DECIDE);CHKERRQ(ierr);
    ierr = MatSetBlockSizes(*subMat,mat->rmap->bs,mat->cmap->bs);CHKERRQ(ierr);

    /* need to setup rmap and cmap before Preallocation */
    ierr = PetscLayoutSetBlockSize((*subMat)->rmap,mat->rmap->bs);CHKERRQ(ierr);
    ierr = PetscLayoutSetBlockSize((*subMat)->cmap,mat->cmap->bs);CHKERRQ(ierr);
    ierr = PetscLayoutSetUp((*subMat)->rmap);CHKERRQ(ierr);
    ierr = PetscLayoutSetUp((*subMat)->cmap);CHKERRQ(ierr);
  }

  /* create a map of comm_rank from subComm to comm - should commRankMap and garrayCMap be kept for reused? */
  ierr = MPI_Comm_rank(PetscObjectComm((PetscObject)mat),&commRank);CHKERRQ(ierr);
  ierr = MPI_Comm_rank(subComm,&subCommRank);CHKERRQ(ierr);
  ierr = PetscMalloc(subCommSize*sizeof(PetscMPIInt),&commRankMap);CHKERRQ(ierr);
  ierr = MPI_Allgather(&commRank,1,MPI_INT,commRankMap,1,MPI_INT,subComm);CHKERRQ(ierr);

  /* Traverse garray and identify column indices [of offdiag mat] that
   should be discarded. For the ones not discarded, store the newCol+1
   value in garrayCMap */
  ierr = PetscMalloc(aij->B->cmap->n*sizeof(PetscInt),&garrayCMap);CHKERRQ(ierr);
  ierr = PetscMemzero(garrayCMap,aij->B->cmap->n*sizeof(PetscInt));CHKERRQ(ierr);
  for (i=0; i<aij->B->cmap->n; i++) {
    col = aij->garray[i];
    for (subRank=0; subRank<subCommSize; subRank++) {
      rank = commRankMap[subRank];
      if ((col >= mat->cmap->range[rank]) && (col < mat->cmap->range[rank+1])) {
        garrayCMap[i] = (*subMat)->cmap->range[subRank] + col - mat->cmap->range[rank]+1;
        break;
      }
    }
  }

  if (scall == MAT_INITIAL_MATRIX) {
    /* Now compute preallocation for the offdiag mat */
    ierr = PetscMalloc(aij->B->rmap->n*sizeof(PetscInt),&nnz);CHKERRQ(ierr);
    ierr = PetscMemzero(nnz,aij->B->rmap->n*sizeof(PetscInt));CHKERRQ(ierr);
    for (i=0; i<aij->B->rmap->n; i++) {
      for (j=aijB->i[i]; j<aijB->i[i+1]; j++) {
        if (garrayCMap[aijB->j[j]]) nnz[i]++;
      }
    }
    ierr = MatMPIAIJSetPreallocation(*(subMat),0,NULL,0,nnz);CHKERRQ(ierr);

    /* reuse diag block with the new submat */
    ierr = MatDestroy(&((Mat_MPIAIJ*)((*subMat)->data))->A);CHKERRQ(ierr);

    ((Mat_MPIAIJ*)((*subMat)->data))->A = aij->A;

    ierr = PetscObjectReference((PetscObject)aij->A);CHKERRQ(ierr);
  } else if (((Mat_MPIAIJ*)(*subMat)->data)->A != aij->A) {
    PetscObject obj = (PetscObject)((Mat_MPIAIJ*)((*subMat)->data))->A;

    ierr = PetscObjectReference((PetscObject)obj);CHKERRQ(ierr);

    ((Mat_MPIAIJ*)((*subMat)->data))->A = aij->A;

    ierr = PetscObjectReference((PetscObject)aij->A);CHKERRQ(ierr);
  }

  /* Now traverse aij->B and insert values into subMat */
  for (i=0; i<aij->B->rmap->n; i++) {
    newRow = (*subMat)->rmap->range[subCommRank] + i;
    for (j=aijB->i[i]; j<aijB->i[i+1]; j++) {
      newCol = garrayCMap[aijB->j[j]];
      if (newCol) {
        newCol--; /* remove the increment */
        ierr = MatSetValues(*subMat,1,&newRow,1,&newCol,(aijB->a+j),INSERT_VALUES);CHKERRQ(ierr);
      }
    }
  }

  /* assemble the submat */
  ierr = MatAssemblyBegin(*subMat,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(*subMat,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);

  /* deallocate temporary data */
  ierr = PetscFree(commRankMap);CHKERRQ(ierr);
  ierr = PetscFree(garrayCMap);CHKERRQ(ierr);
  if (scall == MAT_INITIAL_MATRIX) {
    ierr = PetscFree(nnz);CHKERRQ(ierr);
//.........这里部分代码省略.........

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

示例9: main

int main(int argc,char **args)
{

  /*PETSc Mat Object */
  Mat         pMat;
  /* Input matrix market file and output PETSc binary file */
  char        inputFile[128],outputFile[128],buf[128];

  /* number rows, columns, non zeros etc */
  int         i,j,m,n,nnz,ierr,col,row;

  /*We compute no of nozeros per row for PETSc Mat object pre-allocation*/  
  int *nnzPtr;
  /*Maximum nonzero in nay row */
  int maxNNZperRow=0;
  /*Row number containing max non zero elements */
  int maxRowNum = 0;
  /*Just no of comments that will be ignore during successive read of file */
  int numComments=0;

  PetscScalar zero=0;

  /* This is  variable of type double */
  PetscScalar val;

  /*File handle for read and write*/
  FILE*       file;
  /*File handle for writing nonzero elements distribution per row */
  FILE 	      *fileRowDist;

   /*PETSc Viewer is used for writing PETSc Mat object in binary format */
   PetscViewer view;
  /*Just record time required for conversion */
  PetscLogDouble t1,t2,elapsed_time;

  /* MatrixMarket struct */
  MM_typecode matcode;

  /*Initialise PETSc lib */
  PetscInitialize(&argc,&args,(char *)0,PETSC_NULL);

  /* Just record time */
  //ierr = PetscGetTime(&t1); CHKERRQ(ierr);

  /*Get name of matrix market file from command line options and Open file*/
  ierr = PetscOptionsGetString(PETSC_NULL,"-fin",inputFile,127,PETSC_NULL); CHKERRQ(ierr);
  ierr = PetscFOpen(PETSC_COMM_SELF,inputFile,"r",&file); CHKERRQ(ierr);

  if (mm_read_banner(file, &matcode)) {
    PetscPrintf(PETSC_COMM_SELF, "Could not read Matrix Market banner.\n");
    exit(1);
  }

  /********************* MM_typecode query fucntions ***************************/
/* #define mm_is_matrix(typecode)	((typecode)[0]=='M') */

/* #define mm_is_sparse(typecode)	((typecode)[1]=='C') */
/* #define mm_is_coordinate(typecode)((typecode)[1]=='C') */
/* #define mm_is_dense(typecode)	((typecode)[1]=='A') */
/* #define mm_is_array(typecode)	((typecode)[1]=='A') */

/* #define mm_is_complex(typecode)	((typecode)[2]=='C') */
/* #define mm_is_real(typecode)		((typecode)[2]=='R') */
/* #define mm_is_pattern(typecode)	((typecode)[2]=='P') */
/* #define mm_is_integer(typecode) ((typecode)[2]=='I') */

/* #define mm_is_symmetric(typecode)((typecode)[3]=='S') */
/* #define mm_is_general(typecode)	((typecode)[3]=='G') */
/* #define mm_is_skew(typecode)	((typecode)[3]=='K') */
/* #define mm_is_hermitian(typecode)((typecode)[3]=='H') */
/* int mm_is_valid(MM_typecode matcode); */


  /* Do not convert pattern matrices */
  if (mm_is_pattern(matcode)) {
    ierr = PetscPrintf(PETSC_COMM_SELF, "%s: Pattern matrix -- skipping.\n", inputFile);
    exit(0);
  }


  /* find out size of sparse matrix .... */

 
  /*Reads size of sparse matrix from matrix market file */
  int ret_code;
  if ((ret_code = mm_read_mtx_crd_size(file, &m, &n, &nnz)) !=0)
        exit(1);
  ierr = PetscPrintf(PETSC_COMM_SELF, "%s: ROWS = %d, COLUMNS = %d, NO OF NON-ZEROS = %d\n",inputFile,m,n,nnz);

  /* Only consider square matrices */
  if (m != n) {
    ierr = PetscPrintf(PETSC_COMM_SELF, "%s: Nonsquare matrix -- skipping.\n", inputFile);
    exit(0);
  }

  ierr = MatCreate(PETSC_COMM_WORLD,&pMat);CHKERRQ(ierr);
  ierr = MatSetFromOptions(pMat);CHKERRQ(ierr);
  //ierr = MatSetOption(pMat, MAT_NEW_NONZERO_ALLOCATION_ERR, PETSC_FALSE); CHKERRQ(ierr);
  if (mm_is_symmetric(matcode))  {
    ierr = MatSetOption(pMat,MAT_SYMMETRIC,PETSC_TRUE); CHKERRQ(ierr);
//.........这里部分代码省略.........

开发者ID:kanika901，项目名称:lighthouse，代码行数:101，代码来源:MatMarket_to_PETScBin.c

示例10: main

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

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

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

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

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

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

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

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

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

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

  /* Check whether A is Hermitian */
  ierr = PetscOptionsHasName(PETSC_NULL, "-check_Hermitian", &flg);CHKERRQ(ierr);
  if (flg) {
    Mat Hermit;
    if (disp_mat){
      if (!rank) printf(" A:\n");
//.........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:ex36.c

示例11: main

int main(int argc,char **args)
{
  Mat            A,B,F; 
  PetscErrorCode ierr;
  KSP            ksp;
  PC             pc;
  PetscInt    	 N, n=10, m, Istart, Iend, II, J, i,j;
  PetscInt       nneg, nzero, npos;
  PetscScalar 	 v,sigma;
  PetscBool   	 flag,loadA=PETSC_FALSE,loadB=PETSC_FALSE;
  char           file[2][PETSC_MAX_PATH_LEN]; 
  PetscViewer    viewer;
  PetscMPIInt    rank;

  PetscInitialize(&argc,&args,(char *)0,help);
  /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 
     Compute the matrices that define the eigensystem, Ax=kBx
     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
  ierr = PetscOptionsGetString(PETSC_NULL,"-fA",file[0],PETSC_MAX_PATH_LEN,&loadA);CHKERRQ(ierr);
  if (loadA) {
    ierr = PetscViewerBinaryOpen(PETSC_COMM_WORLD,file[0],FILE_MODE_READ,&viewer);CHKERRQ(ierr);
    ierr = MatCreate(PETSC_COMM_WORLD,&A);CHKERRQ(ierr);
    ierr = MatSetType(A,MATSBAIJ);CHKERRQ(ierr);
    ierr = MatLoad(A,viewer);CHKERRQ(ierr);
    ierr = PetscViewerDestroy(&viewer);CHKERRQ(ierr);  

    ierr = PetscOptionsGetString(PETSC_NULL,"-fB",file[1],PETSC_MAX_PATH_LEN,&loadB);CHKERRQ(ierr);
    if (loadB){
      /* load B to get A = A + sigma*B */
      ierr = PetscViewerBinaryOpen(PETSC_COMM_WORLD,file[1],FILE_MODE_READ,&viewer);CHKERRQ(ierr);
      ierr = MatCreate(PETSC_COMM_WORLD,&B);CHKERRQ(ierr);
      ierr = MatSetType(B,MATSBAIJ);CHKERRQ(ierr);
      ierr  = MatLoad(B,viewer);CHKERRQ(ierr);
      ierr = PetscViewerDestroy(&viewer);CHKERRQ(ierr);  
    }
  } 

  if (!loadA) { /* Matrix A is copied from slepc-3.0.0-p6/src/examples/ex13.c. */
    ierr = PetscOptionsGetInt(PETSC_NULL,"-n",&n,PETSC_NULL);CHKERRQ(ierr);
    ierr = PetscOptionsGetInt(PETSC_NULL,"-m",&m,&flag);CHKERRQ(ierr);
    if( flag==PETSC_FALSE ) m=n;
    N = n*m;
    ierr = MatCreate(PETSC_COMM_WORLD,&A);CHKERRQ(ierr);
    ierr = MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,N,N);CHKERRQ(ierr);
    ierr = MatSetType(A,MATSBAIJ);CHKERRQ(ierr);
    ierr = MatSetFromOptions(A);CHKERRQ(ierr);
    ierr = MatSetUp(A);CHKERRQ(ierr);

    ierr = MatSetOption(A,MAT_IGNORE_LOWER_TRIANGULAR,PETSC_TRUE);CHKERRQ(ierr);
    ierr = MatGetOwnershipRange(A,&Istart,&Iend);CHKERRQ(ierr);
    for( II=Istart; II<Iend; II++ ) { 
      v = -1.0; i = II/n; j = II-i*n;  
      if(i>0) { J=II-n; MatSetValues(A,1,&II,1,&J,&v,INSERT_VALUES);CHKERRQ(ierr); }
      if(i<m-1) { J=II+n; MatSetValues(A,1,&II,1,&J,&v,INSERT_VALUES);CHKERRQ(ierr); }
      if(j>0) { J=II-1; MatSetValues(A,1,&II,1,&J,&v,INSERT_VALUES);CHKERRQ(ierr); }
      if(j<n-1) { J=II+1; MatSetValues(A,1,&II,1,&J,&v,INSERT_VALUES);CHKERRQ(ierr); }
      v=4.0; MatSetValues(A,1,&II,1,&II,&v,INSERT_VALUES);CHKERRQ(ierr);
    
    }
    ierr = MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
    ierr = MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  }
  /* ierr = MatView(A,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr); */
  
  if (!loadB) {
    ierr = MatGetLocalSize(A,&m,&n);CHKERRQ(ierr);
    ierr = MatCreate(PETSC_COMM_WORLD,&B);CHKERRQ(ierr);
    ierr = MatSetSizes(B,m,n,PETSC_DECIDE,PETSC_DECIDE);CHKERRQ(ierr);
    ierr = MatSetType(B,MATSBAIJ);CHKERRQ(ierr);
    ierr = MatSetFromOptions(B);CHKERRQ(ierr);
    ierr = MatSetUp(B);CHKERRQ(ierr);
    ierr = MatSetOption(B,MAT_IGNORE_LOWER_TRIANGULAR,PETSC_TRUE);CHKERRQ(ierr);
    ierr = MatGetOwnershipRange(A,&Istart,&Iend);CHKERRQ(ierr);
 
    for( II=Istart; II<Iend; II++ ) { 
      /* v=4.0; MatSetValues(B,1,&II,1,&II,&v,INSERT_VALUES);CHKERRQ(ierr); */
      v=1.0; MatSetValues(B,1,&II,1,&II,&v,INSERT_VALUES);CHKERRQ(ierr); 
    }
    ierr = MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
    ierr = MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  }
  /* ierr = MatView(B,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr); */

  /* Set a shift: A = A - sigma*B */
  ierr = PetscOptionsGetScalar(PETSC_NULL,"-sigma",&sigma,&flag);CHKERRQ(ierr);
  if (flag){
    sigma = -1.0 * sigma;
    ierr = MatAXPY(A,sigma,B,DIFFERENT_NONZERO_PATTERN);CHKERRQ(ierr); /* A <- A - sigma*B */  
    /* ierr = MatView(A,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr); */
  }

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

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

//.........这里部分代码省略.........

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

示例12: main

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C++ MatCreate函数代码示例

示例1: main

示例2: main

示例3: main

示例4: main

示例5: main

示例6: main

示例7: MatPtAPSymbolic_MPIAIJ_MPIAIJ

示例8: MatGetMultiProcBlock_MPIAIJ

示例9: main

示例10: main

示例11: main

示例12: main

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