Date: 2024-10-28T09:14:20+00:00

Actual source code: ex45.c
slepc-3.22.1 2024-10-28
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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[] = "Computes a partial generalized singular value decomposition (GSVD).\n"
     12:   "The command line options are:\n"
     13:   "  -m <m>, where <m> = number of rows of A.\n"
     14:   "  -n <n>, where <n> = number of columns of A.\n"
     15:   "  -p <p>, where <p> = number of rows of B.\n\n";

     17: #include <slepcsvd.h>

     19: int main(int argc,char **argv)
     20: {
     21:   Mat            A,B;             /* operator matrices */
     22:   Vec            u,v,x;           /* singular vectors */
     23:   SVD            svd;             /* singular value problem solver context */
     24:   SVDType        type;
     25:   Vec            uv,aux[2],*U,*V;
     26:   PetscReal      error,tol,sigma,lev1=0.0,lev2=0.0;
     27:   PetscInt       m=100,n,p=14,i,j,d,Istart,Iend,nsv,maxit,its,nconv;
     28:   PetscBool      flg,skiporth=PETSC_FALSE;

     30:   PetscFunctionBeginUser;
     31:   PetscCall(SlepcInitialize(&argc,&argv,NULL,help));

     33:   PetscCall(PetscOptionsGetInt(NULL,NULL,"-m",&m,NULL));
     34:   PetscCall(PetscOptionsGetInt(NULL,NULL,"-n",&n,&flg));
     35:   if (!flg) n = m;
     36:   PetscCall(PetscOptionsGetInt(NULL,NULL,"-p",&p,&flg));
     37:   PetscCall(PetscPrintf(PETSC_COMM_WORLD,"\nGeneralized singular value decomposition, (%" PetscInt_FMT "+%" PetscInt_FMT ")x%" PetscInt_FMT "\n\n",m,p,n));
     38:   PetscCall(PetscOptionsGetBool(NULL,NULL,"-skiporth",&skiporth,NULL));

     40:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     41:                           Build the matrices
     42:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

     44:   PetscCall(MatCreate(PETSC_COMM_WORLD,&A));
     45:   PetscCall(MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,m,n));
     46:   PetscCall(MatSetFromOptions(A));

     48:   PetscCall(MatGetOwnershipRange(A,&Istart,&Iend));
     49:   for (i=Istart;i<Iend;i++) {
     50:     if (i>0 && i-1<n) PetscCall(MatSetValue(A,i,i-1,-1.0,INSERT_VALUES));
     51:     if (i+1<n) PetscCall(MatSetValue(A,i,i+1,-1.0,INSERT_VALUES));
     52:     if (i<n) PetscCall(MatSetValue(A,i,i,2.0,INSERT_VALUES));
     53:     if (i>n) PetscCall(MatSetValue(A,i,n-1,1.0,INSERT_VALUES));
     54:   }
     55:   PetscCall(MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY));
     56:   PetscCall(MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY));

     58:   PetscCall(MatCreate(PETSC_COMM_WORLD,&B));
     59:   PetscCall(MatSetSizes(B,PETSC_DECIDE,PETSC_DECIDE,p,n));
     60:   PetscCall(MatSetFromOptions(B));

     62:   PetscCall(MatGetOwnershipRange(B,&Istart,&Iend));
     63:   d = PetscMax(0,n-p);
     64:   for (i=Istart;i<Iend;i++) {
     65:     for (j=0;j<=PetscMin(i,n-1);j++) PetscCall(MatSetValue(B,i,j+d,1.0,INSERT_VALUES));
     66:   }
     67:   PetscCall(MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY));
     68:   PetscCall(MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY));

     70:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     71:           Create the singular value solver and set various options
     72:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

     74:   /*
     75:      Create singular value solver context
     76:   */
     77:   PetscCall(SVDCreate(PETSC_COMM_WORLD,&svd));

     79:   /*
     80:      Set operators and problem type
     81:   */
     82:   PetscCall(SVDSetOperators(svd,A,B));
     83:   PetscCall(SVDSetProblemType(svd,SVD_GENERALIZED));

     85:   /*
     86:      Set solver parameters at runtime
     87:   */
     88:   PetscCall(SVDSetFromOptions(svd));

     90:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     91:                       Solve the singular value system
     92:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

     94:   PetscCall(SVDSolve(svd));
     95:   PetscCall(SVDGetIterationNumber(svd,&its));
     96:   PetscCall(PetscPrintf(PETSC_COMM_WORLD," Number of iterations of the method: %" PetscInt_FMT "\n",its));

     98:   /*
     99:      Optional: Get some information from the solver and display it
    100:   */
    101:   PetscCall(SVDGetType(svd,&type));
    102:   PetscCall(PetscPrintf(PETSC_COMM_WORLD," Solution method: %s\n\n",type));
    103:   PetscCall(SVDGetDimensions(svd,&nsv,NULL,NULL));
    104:   PetscCall(PetscPrintf(PETSC_COMM_WORLD," Number of requested generalized singular values: %" PetscInt_FMT "\n",nsv));
    105:   PetscCall(SVDGetTolerances(svd,&tol,&maxit));
    106:   PetscCall(PetscPrintf(PETSC_COMM_WORLD," Stopping condition: tol=%.4g, maxit=%" PetscInt_FMT "\n",(double)tol,maxit));

    108:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    109:                     Display solution and clean up
    110:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

    112:   /*
    113:      Get number of converged singular triplets
    114:   */
    115:   PetscCall(SVDGetConverged(svd,&nconv));
    116:   PetscCall(PetscPrintf(PETSC_COMM_WORLD," Number of converged approximate singular triplets: %" PetscInt_FMT "\n\n",nconv));

    118:   if (nconv>0) {
    119:     /*
    120:        Create vectors. The interface returns u and v as stacked on top of each other
    121:        [u;v] so need to create a special vector (VecNest) to extract them
    122:     */
    123:     PetscCall(MatCreateVecs(A,&x,&u));
    124:     PetscCall(MatCreateVecs(B,NULL,&v));
    125:     aux[0] = u;
    126:     aux[1] = v;
    127:     PetscCall(VecCreateNest(PETSC_COMM_WORLD,2,NULL,aux,&uv));

    129:     PetscCall(VecDuplicateVecs(u,nconv,&U));
    130:     PetscCall(VecDuplicateVecs(v,nconv,&V));

    132:     /*
    133:        Display singular values and errors relative to the norms
    134:     */
    135:     PetscCall(PetscPrintf(PETSC_COMM_WORLD,
    136:          "          sigma           ||r||/||[A;B]||\n"
    137:          "  --------------------- ------------------\n"));
    138:     for (i=0;i<nconv;i++) {
    139:       /*
    140:          Get converged singular triplets: i-th singular value is stored in sigma
    141:       */
    142:       PetscCall(SVDGetSingularTriplet(svd,i,&sigma,uv,x));

    144:       /* at this point, u and v can be used normally as individual vectors */
    145:       PetscCall(VecCopy(u,U[i]));
    146:       PetscCall(VecCopy(v,V[i]));

    148:       /*
    149:          Compute the error associated to each singular triplet
    150:       */
    151:       PetscCall(SVDComputeError(svd,i,SVD_ERROR_NORM,&error));

    153:       PetscCall(PetscPrintf(PETSC_COMM_WORLD,"       % 6f      ",(double)sigma));
    154:       PetscCall(PetscPrintf(PETSC_COMM_WORLD,"   % 12g\n",(double)error));
    155:     }
    156:     PetscCall(PetscPrintf(PETSC_COMM_WORLD,"\n"));

    158:     if (!skiporth) {
    159:       PetscCall(VecCheckOrthonormality(U,nconv,NULL,nconv,NULL,NULL,&lev1));
    160:       PetscCall(VecCheckOrthonormality(V,nconv,NULL,nconv,NULL,NULL,&lev2));
    161:     }
    162:     if (lev1+lev2<20*tol) PetscCall(PetscPrintf(PETSC_COMM_WORLD,"Level of orthogonality below the tolerance\n"));
    163:     else PetscCall(PetscPrintf(PETSC_COMM_WORLD,"Level of orthogonality: %g (U) %g (V)\n",(double)lev1,(double)lev2));
    164:     PetscCall(VecDestroyVecs(nconv,&U));
    165:     PetscCall(VecDestroyVecs(nconv,&V));
    166:     PetscCall(VecDestroy(&x));
    167:     PetscCall(VecDestroy(&u));
    168:     PetscCall(VecDestroy(&v));
    169:     PetscCall(VecDestroy(&uv));
    170:   }

    172:   /*
    173:      Free work space
    174:   */
    175:   PetscCall(SVDDestroy(&svd));
    176:   PetscCall(MatDestroy(&A));
    177:   PetscCall(MatDestroy(&B));
    178:   PetscCall(SlepcFinalize());
    179:   return 0;
    180: }

    182: /*TEST

    184:    testset:
    185:       filter: grep -v "Solution method" | grep -v "Number of iterations" | sed -e "s/, maxit=1[0]*$//" | sed -e "s/[0-9]\.[0-9]*e[+-]\([0-9]*\)/removed/g"
    186:       requires: double
    187:       test:
    188:          args: -svd_type lapack -m 20 -n 10 -p 6
    189:          suffix: 1
    190:       test:
    191:          args: -svd_type lapack -m 15 -n 20 -p 10 -svd_smallest
    192:          suffix: 2
    193:       test:
    194:          args: -svd_type lapack -m 15 -n 20 -p 21
    195:          suffix: 3
    196:       test:
    197:          args: -svd_type lapack -m 20 -n 15 -p 21
    198:          suffix: 4

    200:    testset:
    201:       args: -m 25 -n 20 -p 21 -svd_smallest -svd_nsv 2
    202:       filter: grep -v "Solution method" | grep -v "Number of iterations" | sed -e "s/, maxit=1[0]*$//" | sed -e "s/[0-9]\.[0-9]*e[+-]\([0-9]*\)/removed/g"
    203:       requires: double
    204:       output_file: output/ex45_5.out
    205:       test:
    206:          args: -svd_type trlanczos -svd_ncv 8 -svd_trlanczos_gbidiag {{upper lower}} -svd_trlanczos_oneside {{0 1}}
    207:          suffix: 5
    208:       test:
    209:          args: -svd_type cross -svd_ncv 10 -svd_cross_explicitmatrix
    210:          suffix: 5_cross
    211:       test:
    212:          args: -svd_type cross -svd_ncv 10 -svd_cross_eps_type krylovschur -svd_cross_st_type sinvert -svd_cross_eps_target 0 -svd_cross_st_ksp_type gmres -svd_cross_st_pc_type jacobi
    213:          suffix: 5_cross_implicit
    214:       test:
    215:          args: -svd_type cyclic -svd_ncv 12 -svd_cyclic_explicitmatrix {{0 1}}
    216:          suffix: 5_cyclic
    217:          requires: !complex

    219:    testset:
    220:       args: -m 15 -n 20 -p 21 -svd_nsv 4 -svd_ncv 9
    221:       filter: grep -v "Solution method" | grep -v "Number of iterations" | sed -e "s/7.884967/7.884968/" | sed -e "s/, maxit=1[0]*$//" | sed -e "s/[0-9]\.[0-9]*e[+-]\([0-9]*\)/removed/g"
    222:       requires: double
    223:       output_file: output/ex45_6.out
    224:       test:
    225:          args: -svd_type trlanczos -svd_trlanczos_gbidiag {{single upper lower}} -svd_trlanczos_locking {{0 1}} -svd_trlanczos_oneside {{0 1}}
    226:          suffix: 6
    227:       test:
    228:          args: -svd_type cross -svd_cross_explicitmatrix {{0 1}}
    229:          suffix: 6_cross

    231:    test:
    232:       args: -m 15 -n 20 -p 21 -svd_nsv 4 -svd_ncv 9 -svd_type cyclic -svd_cyclic_explicitmatrix {{0 1}}
    233:       filter: grep -v "Number of iterations" | sed -e "s/7.884967/7.884968/" | sed -e "s/[0-9]\.[0-9]*e[+-]\([0-9]*\)/removed/g"
    234:       requires: double
    235:       suffix: 6_cyclic
    236:       output_file: output/ex45_6_cyclic.out

    238:    testset:
    239:       args: -m 20 -n 15 -p 21 -svd_nsv 4 -svd_ncv 9
    240:       filter: grep -v "Solution method" | grep -v "Number of iterations" | sed -e "s/, maxit=1[0]*$//" | sed -e "s/[0-9]\.[0-9]*e[+-]\([0-9]*\)/removed/g"
    241:       requires: double
    242:       output_file: output/ex45_7.out
    243:       test:
    244:          args: -svd_type trlanczos -svd_trlanczos_gbidiag {{single upper lower}} -svd_trlanczos_restart 0.4 -svd_trlanczos_oneside {{0 1}}
    245:          suffix: 7
    246:       test:
    247:          args: -svd_type cross -svd_cross_explicitmatrix {{0 1}}
    248:          suffix: 7_cross

    250:    test:
    251:       args: -m 20 -n 15 -p 21 -svd_nsv 4 -svd_ncv 16 -svd_type cyclic -svd_cyclic_explicitmatrix {{0 1}}
    252:       filter: grep -v "Number of iterations" | sed -e "s/[0-9]\.[0-9]*e[+-]\([0-9]*\)/removed/g"
    253:       requires: double
    254:       suffix: 7_cyclic
    255:       output_file: output/ex45_7_cyclic.out

    257:    test:
    258:        args: -m 25 -n 20 -p 21 -svd_smallest -svd_nsv 2 -svd_ncv 5 -svd_type trlanczos -svd_trlanczos_gbidiag {{upper lower}} -svd_trlanczos_scale {{0.1 -20}}
    259:        filter: grep -v "Solution method" | grep -v "Number of iterations" | grep -v "Stopping condition" | sed -e "s/, maxit=1[0]*$//" | sed -e "s/[0-9]\.[0-9]*e[+-]\([0-9]*\)/removed/g"
    260:        suffix: 8

    262: TEST*/