Date: 2023-01-26T12:18:24+00:00

Actual source code: test8.c
slepc-3.18.2 2023-01-26
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      1: /*
      2:    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
      3:    SLEPc - Scalable Library for Eigenvalue Problem Computations
      4:    Copyright (c) 2002-, Universitat Politecnica de Valencia, Spain

      6:    This file is part of SLEPc.
      7:    SLEPc is distributed under a 2-clause BSD license (see LICENSE).
      8:    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
      9: */

     11: static char help[] = "Test ST with two matrices and split preconditioner.\n\n";

     13: #include <slepcst.h>

     15: int main(int argc,char **argv)
     16: {
     17:   Mat            A,B,Pa,Pb,Pmat,mat[2];
     18:   ST             st;
     19:   KSP            ksp;
     20:   PC             pc;
     21:   Vec            v,w;
     22:   STType         type;
     23:   PetscScalar    sigma;
     24:   PetscInt       n=10,i,Istart,Iend;

     27:   SlepcInitialize(&argc,&argv,(char*)0,help);
     28:   PetscOptionsGetInt(NULL,NULL,"-n",&n,NULL);
     29:   PetscPrintf(PETSC_COMM_WORLD,"\n1-D Laplacian plus diagonal, n=%" PetscInt_FMT "\n\n",n);

     31:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     32:      Compute the operator matrices (1-D Laplacian and diagonal)
     33:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

     35:   MatCreate(PETSC_COMM_WORLD,&A);
     36:   MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,n,n);
     37:   MatSetFromOptions(A);
     38:   MatSetUp(A);

     40:   MatCreate(PETSC_COMM_WORLD,&B);
     41:   MatSetSizes(B,PETSC_DECIDE,PETSC_DECIDE,n,n);
     42:   MatSetFromOptions(B);
     43:   MatSetUp(B);

     45:   MatGetOwnershipRange(A,&Istart,&Iend);
     46:   for (i=Istart;i<Iend;i++) {
     47:     MatSetValue(A,i,i,2.0,INSERT_VALUES);
     48:     if (i>0) {
     49:       MatSetValue(A,i,i-1,-1.0,INSERT_VALUES);
     50:       MatSetValue(B,i,i,(PetscScalar)i,INSERT_VALUES);
     51:     } else MatSetValue(B,i,i,-1.0,INSERT_VALUES);
     52:     if (i<n-1) MatSetValue(A,i,i+1,-1.0,INSERT_VALUES);
     53:   }
     54:   MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);
     55:   MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);
     56:   MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY);
     57:   MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY);
     58:   MatCreateVecs(A,&v,&w);
     59:   VecSet(v,1.0);

     61:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     62:      Compute the split preconditioner matrices (two diagonals)
     63:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

     65:   MatCreate(PETSC_COMM_WORLD,&Pa);
     66:   MatSetSizes(Pa,PETSC_DECIDE,PETSC_DECIDE,n,n);
     67:   MatSetFromOptions(Pa);
     68:   MatSetUp(Pa);

     70:   MatCreate(PETSC_COMM_WORLD,&Pb);
     71:   MatSetSizes(Pb,PETSC_DECIDE,PETSC_DECIDE,n,n);
     72:   MatSetFromOptions(Pb);
     73:   MatSetUp(Pb);

     75:   MatGetOwnershipRange(Pa,&Istart,&Iend);
     76:   for (i=Istart;i<Iend;i++) {
     77:     MatSetValue(Pa,i,i,2.0,INSERT_VALUES);
     78:     if (i>0) MatSetValue(Pb,i,i,(PetscScalar)i,INSERT_VALUES);
     79:     else MatSetValue(Pb,i,i,-1.0,INSERT_VALUES);
     80:   }
     81:   MatAssemblyBegin(Pa,MAT_FINAL_ASSEMBLY);
     82:   MatAssemblyEnd(Pa,MAT_FINAL_ASSEMBLY);
     83:   MatAssemblyBegin(Pb,MAT_FINAL_ASSEMBLY);
     84:   MatAssemblyEnd(Pb,MAT_FINAL_ASSEMBLY);

     86:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     87:                 Create the spectral transformation object
     88:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

     90:   STCreate(PETSC_COMM_WORLD,&st);
     91:   mat[0] = A;
     92:   mat[1] = B;
     93:   STSetMatrices(st,2,mat);
     94:   mat[0] = Pa;
     95:   mat[1] = Pb;
     96:   STSetSplitPreconditioner(st,2,mat,SAME_NONZERO_PATTERN);
     97:   STSetTransform(st,PETSC_TRUE);
     98:   STSetFromOptions(st);
     99:   STCayleySetAntishift(st,-0.2);   /* only relevant for cayley */

    101:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    102:                Form the preconditioner matrix and print it
    103:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

    105:   STGetKSP(st,&ksp);
    106:   KSPGetPC(ksp,&pc);
    107:   STGetOperator(st,NULL);
    108:   PCGetOperators(pc,NULL,&Pmat);
    109:   MatView(Pmat,NULL);

    111:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    112:                    Apply the operator
    113:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

    115:   /* sigma=0.0 */
    116:   STSetUp(st);
    117:   STGetType(st,&type);
    118:   PetscPrintf(PETSC_COMM_WORLD,"ST type %s\n",type);
    119:   STApply(st,v,w);
    120:   VecView(w,NULL);

    122:   /* sigma=0.1 */
    123:   sigma = 0.1;
    124:   STSetShift(st,sigma);
    125:   STGetShift(st,&sigma);
    126:   PetscPrintf(PETSC_COMM_WORLD,"With shift=%g\n",(double)PetscRealPart(sigma));
    127:   STGetOperator(st,NULL);
    128:   PCGetOperators(pc,NULL,&Pmat);
    129:   MatView(Pmat,NULL);
    130:   STApply(st,v,w);
    131:   VecView(w,NULL);

    133:   STDestroy(&st);
    134:   MatDestroy(&A);
    135:   MatDestroy(&B);
    136:   MatDestroy(&Pa);
    137:   MatDestroy(&Pb);
    138:   VecDestroy(&v);
    139:   VecDestroy(&w);
    140:   SlepcFinalize();
    141:   return 0;
    142: }

    144: /*TEST

    146:    test:
    147:       suffix: 1
    148:       args: -st_type {{cayley shift sinvert}separate output}
    149:       requires: !single

    151: TEST*/