Actual source code: ex2.c

      1: static char help[] = "testing SeqDense matrices with an LDA (leading dimension of the user-allocated array) larger than M.\n";
      2: /*
      3:  * Example code testing SeqDense matrices with an LDA (leading dimension
      4:  * of the user-allocated array) larger than M.
      5:  * This example tests the functionality of MatSetValues(), MatMult(),
      6:  * and MatMultTranspose().
      7:  */

      9: #include <petscmat.h>

     11: int main(int argc, char **argv)
     12: {
     13:   Mat          A, A11, A12, A21, A22;
     14:   Vec          X, X1, X2, Y, Z, Z1, Z2;
     15:   PetscScalar *a, *b, *x, *y, *z, v, one = 1;
     16:   PetscReal    nrm;
     17:   PetscInt     size = 8, size1 = 6, size2 = 2, i, j;
     18:   PetscRandom  rnd;

     20:   PetscFunctionBeginUser;
     21:   PetscCall(PetscInitialize(&argc, &argv, 0, help));
     22:   PetscCall(PetscRandomCreate(PETSC_COMM_SELF, &rnd));

     24:   /*
     25:    * Create matrix and three vectors: these are all normal
     26:    */
     27:   PetscCall(PetscMalloc1(size * size, &a));
     28:   PetscCall(PetscMalloc1(size * size, &b));
     29:   for (i = 0; i < size; i++) {
     30:     for (j = 0; j < size; j++) {
     31:       PetscCall(PetscRandomGetValue(rnd, &a[i + j * size]));
     32:       b[i + j * size] = a[i + j * size];
     33:     }
     34:   }
     35:   PetscCall(MatCreate(PETSC_COMM_SELF, &A));
     36:   PetscCall(MatSetSizes(A, size, size, size, size));
     37:   PetscCall(MatSetType(A, MATSEQDENSE));
     38:   PetscCall(MatSeqDenseSetPreallocation(A, a));
     39:   PetscCall(MatAssemblyBegin(A, MAT_FINAL_ASSEMBLY));
     40:   PetscCall(MatAssemblyEnd(A, MAT_FINAL_ASSEMBLY));

     42:   PetscCall(PetscMalloc1(size, &x));
     43:   for (i = 0; i < size; i++) x[i] = one;
     44:   PetscCall(VecCreateSeqWithArray(PETSC_COMM_SELF, 1, size, x, &X));
     45:   PetscCall(VecAssemblyBegin(X));
     46:   PetscCall(VecAssemblyEnd(X));

     48:   PetscCall(PetscMalloc1(size, &y));
     49:   PetscCall(VecCreateSeqWithArray(PETSC_COMM_SELF, 1, size, y, &Y));
     50:   PetscCall(VecAssemblyBegin(Y));
     51:   PetscCall(VecAssemblyEnd(Y));

     53:   PetscCall(PetscMalloc1(size, &z));
     54:   PetscCall(VecCreateSeqWithArray(PETSC_COMM_SELF, 1, size, z, &Z));
     55:   PetscCall(VecAssemblyBegin(Z));
     56:   PetscCall(VecAssemblyEnd(Z));

     58:   /*
     59:    * Now create submatrices and subvectors
     60:    */
     61:   PetscCall(MatCreate(PETSC_COMM_SELF, &A11));
     62:   PetscCall(MatSetSizes(A11, size1, size1, size1, size1));
     63:   PetscCall(MatSetType(A11, MATSEQDENSE));
     64:   PetscCall(MatSeqDenseSetPreallocation(A11, b));
     65:   PetscCall(MatDenseSetLDA(A11, size));
     66:   PetscCall(MatAssemblyBegin(A11, MAT_FINAL_ASSEMBLY));
     67:   PetscCall(MatAssemblyEnd(A11, MAT_FINAL_ASSEMBLY));

     69:   PetscCall(MatCreate(PETSC_COMM_SELF, &A12));
     70:   PetscCall(MatSetSizes(A12, size1, size2, size1, size2));
     71:   PetscCall(MatSetType(A12, MATSEQDENSE));
     72:   PetscCall(MatSeqDenseSetPreallocation(A12, b + size1 * size));
     73:   PetscCall(MatDenseSetLDA(A12, size));
     74:   PetscCall(MatAssemblyBegin(A12, MAT_FINAL_ASSEMBLY));
     75:   PetscCall(MatAssemblyEnd(A12, MAT_FINAL_ASSEMBLY));

     77:   PetscCall(MatCreate(PETSC_COMM_SELF, &A21));
     78:   PetscCall(MatSetSizes(A21, size2, size1, size2, size1));
     79:   PetscCall(MatSetType(A21, MATSEQDENSE));
     80:   PetscCall(MatSeqDenseSetPreallocation(A21, b + size1));
     81:   PetscCall(MatDenseSetLDA(A21, size));
     82:   PetscCall(MatAssemblyBegin(A21, MAT_FINAL_ASSEMBLY));
     83:   PetscCall(MatAssemblyEnd(A21, MAT_FINAL_ASSEMBLY));

     85:   PetscCall(MatCreate(PETSC_COMM_SELF, &A22));
     86:   PetscCall(MatSetSizes(A22, size2, size2, size2, size2));
     87:   PetscCall(MatSetType(A22, MATSEQDENSE));
     88:   PetscCall(MatSeqDenseSetPreallocation(A22, b + size1 * size + size1));
     89:   PetscCall(MatDenseSetLDA(A22, size));
     90:   PetscCall(MatAssemblyBegin(A22, MAT_FINAL_ASSEMBLY));
     91:   PetscCall(MatAssemblyEnd(A22, MAT_FINAL_ASSEMBLY));

     93:   PetscCall(VecCreateSeqWithArray(PETSC_COMM_SELF, 1, size1, x, &X1));
     94:   PetscCall(VecCreateSeqWithArray(PETSC_COMM_SELF, 1, size2, x + size1, &X2));
     95:   PetscCall(VecCreateSeqWithArray(PETSC_COMM_SELF, 1, size1, z, &Z1));
     96:   PetscCall(VecCreateSeqWithArray(PETSC_COMM_SELF, 1, size2, z + size1, &Z2));

     98:   /*
     99:    * Now multiple matrix times input in two ways;
    100:    * compare the results
    101:    */
    102:   PetscCall(MatMult(A, X, Y));
    103:   PetscCall(MatMult(A11, X1, Z1));
    104:   PetscCall(MatMultAdd(A12, X2, Z1, Z1));
    105:   PetscCall(MatMult(A22, X2, Z2));
    106:   PetscCall(MatMultAdd(A21, X1, Z2, Z2));
    107:   PetscCall(VecAXPY(Z, -1.0, Y));
    108:   PetscCall(VecNorm(Z, NORM_2, &nrm));
    109:   if (nrm > 100.0 * PETSC_MACHINE_EPSILON) PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Test1; error norm=%g\n", (double)nrm));

    111:   /*
    112:    * Next test: change both matrices
    113:    */
    114:   PetscCall(PetscRandomGetValue(rnd, &v));
    115:   i = 1;
    116:   j = size - 2;
    117:   PetscCall(MatSetValues(A, 1, &i, 1, &j, &v, INSERT_VALUES));
    118:   j -= size1;
    119:   PetscCall(MatSetValues(A12, 1, &i, 1, &j, &v, INSERT_VALUES));
    120:   PetscCall(PetscRandomGetValue(rnd, &v));
    121:   i = j = size1 + 1;
    122:   PetscCall(MatSetValues(A, 1, &i, 1, &j, &v, INSERT_VALUES));
    123:   i = j = 1;
    124:   PetscCall(MatSetValues(A22, 1, &i, 1, &j, &v, INSERT_VALUES));
    125:   PetscCall(MatAssemblyBegin(A, MAT_FINAL_ASSEMBLY));
    126:   PetscCall(MatAssemblyEnd(A, MAT_FINAL_ASSEMBLY));
    127:   PetscCall(MatAssemblyBegin(A12, MAT_FINAL_ASSEMBLY));
    128:   PetscCall(MatAssemblyEnd(A12, MAT_FINAL_ASSEMBLY));
    129:   PetscCall(MatAssemblyBegin(A22, MAT_FINAL_ASSEMBLY));
    130:   PetscCall(MatAssemblyEnd(A22, MAT_FINAL_ASSEMBLY));

    132:   PetscCall(MatMult(A, X, Y));
    133:   PetscCall(MatMult(A11, X1, Z1));
    134:   PetscCall(MatMultAdd(A12, X2, Z1, Z1));
    135:   PetscCall(MatMult(A22, X2, Z2));
    136:   PetscCall(MatMultAdd(A21, X1, Z2, Z2));
    137:   PetscCall(VecAXPY(Z, -1.0, Y));
    138:   PetscCall(VecNorm(Z, NORM_2, &nrm));
    139:   if (nrm > 100.0 * PETSC_MACHINE_EPSILON) PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Test2; error norm=%g\n", (double)nrm));

    141:   /*
    142:    * Transpose product
    143:    */
    144:   PetscCall(MatMultTranspose(A, X, Y));
    145:   PetscCall(MatMultTranspose(A11, X1, Z1));
    146:   PetscCall(MatMultTransposeAdd(A21, X2, Z1, Z1));
    147:   PetscCall(MatMultTranspose(A22, X2, Z2));
    148:   PetscCall(MatMultTransposeAdd(A12, X1, Z2, Z2));
    149:   PetscCall(VecAXPY(Z, -1.0, Y));
    150:   PetscCall(VecNorm(Z, NORM_2, &nrm));
    151:   if (nrm > 100.0 * PETSC_MACHINE_EPSILON) PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Test3; error norm=%g\n", (double)nrm));
    152:   PetscCall(PetscFree(a));
    153:   PetscCall(PetscFree(b));
    154:   PetscCall(PetscFree(x));
    155:   PetscCall(PetscFree(y));
    156:   PetscCall(PetscFree(z));
    157:   PetscCall(MatDestroy(&A));
    158:   PetscCall(MatDestroy(&A11));
    159:   PetscCall(MatDestroy(&A12));
    160:   PetscCall(MatDestroy(&A21));
    161:   PetscCall(MatDestroy(&A22));

    163:   PetscCall(VecDestroy(&X));
    164:   PetscCall(VecDestroy(&Y));
    165:   PetscCall(VecDestroy(&Z));

    167:   PetscCall(VecDestroy(&X1));
    168:   PetscCall(VecDestroy(&X2));
    169:   PetscCall(VecDestroy(&Z1));
    170:   PetscCall(VecDestroy(&Z2));
    171:   PetscCall(PetscRandomDestroy(&rnd));
    172:   PetscCall(PetscFinalize());
    173:   return 0;
    174: }

    176: /*TEST

    178:    test:
    179:      output_file: output/empty.out

    181: TEST*/