Actual source code: test2.c

slepc-3.20.1 2023-11-27
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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[] = "Tests multiple calls to EPSSolve with the same matrix.\n\n";

 13: #include <slepceps.h>

 15: int main(int argc,char **argv)
 16: {
 17:   Mat            A;           /* problem matrix */
 18:   EPS            eps;         /* eigenproblem solver context */
 19:   ST             st;
 20:   PetscReal      tol=PetscMax(1000*PETSC_MACHINE_EPSILON,1e-9);
 21:   PetscInt       n=30,i,Istart,Iend;
 22:   PetscBool      flg;
 23:   EPSLanczosReorthogType reorth;

 25:   PetscFunctionBeginUser;
 26:   PetscCall(SlepcInitialize(&argc,&argv,(char*)0,help));

 28:   PetscCall(PetscOptionsGetInt(NULL,NULL,"-n",&n,NULL));
 29:   PetscCall(PetscPrintf(PETSC_COMM_WORLD,"\n1-D Laplacian Eigenproblem, n=%" PetscInt_FMT "\n\n",n));

 31:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
 32:      Compute the operator matrix that defines the eigensystem, Ax=kx
 33:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

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

 40:   PetscCall(MatGetOwnershipRange(A,&Istart,&Iend));
 41:   for (i=Istart;i<Iend;i++) {
 42:     if (i>0) PetscCall(MatSetValue(A,i,i-1,-1.0,INSERT_VALUES));
 43:     if (i<n-1) PetscCall(MatSetValue(A,i,i+1,-1.0,INSERT_VALUES));
 44:     PetscCall(MatSetValue(A,i,i,2.0,INSERT_VALUES));
 45:   }
 46:   PetscCall(MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY));
 47:   PetscCall(MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY));

 49:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
 50:                         Create the eigensolver
 51:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
 52:   PetscCall(EPSCreate(PETSC_COMM_WORLD,&eps));
 53:   PetscCall(EPSSetOperators(eps,A,NULL));
 54:   PetscCall(EPSSetProblemType(eps,EPS_HEP));
 55:   PetscCall(EPSSetTolerances(eps,tol,PETSC_DEFAULT));
 56:   PetscCall(EPSSetFromOptions(eps));

 58:   /* illustrate how to extract parameters from specific solver types */
 59:   PetscCall(PetscObjectTypeCompare((PetscObject)eps,EPSLANCZOS,&flg));
 60:   if (flg) {
 61:     PetscCall(EPSLanczosGetReorthog(eps,&reorth));
 62:     PetscCall(PetscPrintf(PETSC_COMM_WORLD,"Reorthogonalization type used in Lanczos: %s\n",EPSLanczosReorthogTypes[reorth]));
 63:   }

 65:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
 66:                     Solve for largest eigenvalues
 67:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
 68:   PetscCall(EPSSetWhichEigenpairs(eps,EPS_LARGEST_REAL));
 69:   PetscCall(EPSSolve(eps));
 70:   PetscCall(PetscPrintf(PETSC_COMM_WORLD," - - - Largest eigenvalues - - -\n"));
 71:   PetscCall(EPSErrorView(eps,EPS_ERROR_RELATIVE,NULL));

 73:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
 74:                     Solve for smallest eigenvalues
 75:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
 76:   PetscCall(EPSSetWhichEigenpairs(eps,EPS_SMALLEST_REAL));
 77:   PetscCall(EPSSolve(eps));
 78:   PetscCall(PetscPrintf(PETSC_COMM_WORLD," - - - Smallest eigenvalues - - -\n"));
 79:   PetscCall(EPSErrorView(eps,EPS_ERROR_RELATIVE,NULL));

 81:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
 82:                     Solve for interior eigenvalues (target=2.1)
 83:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
 84:   PetscCall(EPSSetWhichEigenpairs(eps,EPS_TARGET_MAGNITUDE));
 85:   PetscCall(EPSSetTarget(eps,2.1));
 86:   PetscCall(PetscObjectTypeCompare((PetscObject)eps,EPSLANCZOS,&flg));
 87:   if (flg) {
 88:     PetscCall(EPSGetST(eps,&st));
 89:     PetscCall(STSetType(st,STSINVERT));
 90:   } else {
 91:     PetscCall(PetscObjectTypeCompare((PetscObject)eps,EPSKRYLOVSCHUR,&flg));
 92:     if (!flg) PetscCall(PetscObjectTypeCompare((PetscObject)eps,EPSARNOLDI,&flg));
 93:     if (flg) PetscCall(EPSSetExtraction(eps,EPS_HARMONIC));
 94:   }
 95:   PetscCall(EPSSolve(eps));
 96:   PetscCall(PetscPrintf(PETSC_COMM_WORLD," - - - Interior eigenvalues - - -\n"));
 97:   PetscCall(EPSErrorView(eps,EPS_ERROR_RELATIVE,NULL));

 99:   PetscCall(EPSDestroy(&eps));
100:   PetscCall(MatDestroy(&A));
101:   PetscCall(SlepcFinalize());
102:   return 0;
103: }

105: /*TEST

107:    testset:
108:       args: -eps_nev 4
109:       requires: !single
110:       output_file: output/test2_1.out
111:       test:
112:          suffix: 1
113:          args: -eps_type {{arnoldi gd jd lapack}}
114:       test:
115:          suffix: 1_gd2
116:          args: -eps_type gd -eps_gd_double_expansion
117:          timeoutfactor: 2
118:       test:
119:          suffix: 1_krylovschur
120:          args: -eps_type krylovschur -eps_krylovschur_locking {{0 1}}
121:       test:
122:          suffix: 1_scalapack
123:          requires: scalapack
124:          args: -eps_type scalapack
125:       test:
126:          suffix: 1_elpa
127:          requires: elpa
128:          args: -eps_type elpa
129:       test:
130:          suffix: 1_elemental
131:          requires: elemental
132:          args: -eps_type elemental

134:    testset:
135:       args: -eps_type lanczos -eps_nev 4
136:       requires: !single
137:       filter: grep -v "Lanczos"
138:       output_file: output/test2_1.out
139:       test:
140:          suffix: 2
141:          args: -eps_lanczos_reorthog {{local full periodic partial}}
142:       test:
143:          suffix: 2_selective
144:          args: -eps_lanczos_reorthog selective
145:          requires: !defined(PETSCTEST_VALGRIND)

147:    testset:
148:       args: -n 32 -eps_nev 4
149:       requires: !single
150:       output_file: output/test2_3.out
151:       test:
152:          nsize: 2
153:          suffix: 3
154:          args: -eps_type {{krylovschur lapack}}
155:       test:
156:          nsize: 2
157:          suffix: 3_gd
158:          args: -eps_type gd -eps_gd_krylov_start
159:          timeoutfactor: 2
160:       test:
161:          suffix: 3_jd
162:          args: -eps_type jd -eps_jd_krylov_start -eps_ncv 18

164:    testset:
165:       args: -eps_nev 4 -mat_type aijcusparse
166:       requires: cuda !single
167:       output_file: output/test2_1.out
168:       test:
169:          suffix: 4_cuda
170:          args: -eps_type {{krylovschur arnoldi gd jd}}

172: TEST*/