Actual source code: test27.c

slepc-3.11.2 2019-07-30
Report Typos and Errors
  1: /*
  2:    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
  3:    SLEPc - Scalable Library for Eigenvalue Problem Computations
  4:    Copyright (c) 2002-2019, 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[] = "Illustrates feeding exact eigenvectors as initial vectors of a second solve.\n\n"
 12:   "Based on ex2.\n"
 13:   "The command line options are:\n"
 14:   "  -n <n>, where <n> = number of grid subdivisions in x dimension.\n"
 15:   "  -m <m>, where <m> = number of grid subdivisions in y dimension.\n\n";

 17: #include <slepceps.h>

 19: int main(int argc,char **argv)
 20: {
 21:   Mat            A;
 22:   EPS            eps;
 23:   PetscInt       N,n=10,m,Istart,Iend,II,nev,nconv,i,j,neigs=5;
 24:   PetscBool      flag,terse;
 26:   Vec            v,*X;

 28:   SlepcInitialize(&argc,&argv,(char*)0,help);if (ierr) return ierr;
 29:   PetscOptionsGetInt(NULL,NULL,"-n",&n,NULL);
 30:   PetscOptionsGetInt(NULL,NULL,"-m",&m,&flag);
 31:   if (!flag) m=n;
 32:   N = n*m;
 33:   PetscOptionsGetInt(NULL,NULL,"-neigs",&neigs,NULL);
 34:   PetscPrintf(PETSC_COMM_WORLD,"\n2-D Laplacian Eigenproblem, N=%D (%Dx%D grid), neigs=%D\n\n",N,n,m,neigs);

 36:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
 37:                     Create the 2-D Laplacian
 38:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

 40:   MatCreate(PETSC_COMM_WORLD,&A);
 41:   MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,N,N);
 42:   MatSetFromOptions(A);
 43:   MatSetUp(A);
 44:   MatGetOwnershipRange(A,&Istart,&Iend);
 45:   for (II=Istart;II<Iend;II++) {
 46:     i = II/n; j = II-i*n;
 47:     if (i>0) { MatSetValue(A,II,II-n,-1.0,INSERT_VALUES); }
 48:     if (i<m-1) { MatSetValue(A,II,II+n,-1.0,INSERT_VALUES); }
 49:     if (j>0) { MatSetValue(A,II,II-1,-1.0,INSERT_VALUES); }
 50:     if (j<n-1) { MatSetValue(A,II,II+1,-1.0,INSERT_VALUES); }
 51:     MatSetValue(A,II,II,4.0,INSERT_VALUES);
 52:   }
 53:   MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);
 54:   MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);
 55:   MatCreateVecs(A,&v,NULL);

 57:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
 58:                 Create the eigensolver and set various options
 59:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

 61:   EPSCreate(PETSC_COMM_WORLD,&eps);
 62:   EPSSetOperators(eps,A,NULL);
 63:   EPSSetProblemType(eps,EPS_HEP);
 64:   EPSSetWhichEigenpairs(eps,EPS_SMALLEST_REAL);
 65:   EPSSetDimensions(eps,neigs,PETSC_DEFAULT,PETSC_DEFAULT);
 66:   EPSSetFromOptions(eps);

 68:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
 69:                 Solve the eigensystem for the first time
 70:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

 72:   EPSSolve(eps);
 73:   EPSGetDimensions(eps,&nev,NULL,NULL);
 74:   PetscPrintf(PETSC_COMM_WORLD," Number of requested eigenvalues: %D\n",nev);

 76:   EPSGetConverged(eps,&nconv);
 77:   if (nconv<neigs) SETERRQ2(PETSC_COMM_WORLD,1,"Only %D eigenvalues have converged, %D requested",nconv,neigs);
 78:   VecDuplicateVecs(v,neigs,&X);
 79:   for (i=0;i<neigs;i++) {
 80:     EPSGetEigenvector(eps,i,X[i],NULL);
 81:   }

 83:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
 84:                     Display solution of first solve
 85:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

 87:   PetscOptionsHasName(NULL,NULL,"-terse",&terse);
 88:   if (terse) {
 89:     EPSErrorView(eps,EPS_ERROR_RELATIVE,NULL);
 90:   } else {
 91:     PetscViewerPushFormat(PETSC_VIEWER_STDOUT_WORLD,PETSC_VIEWER_ASCII_INFO_DETAIL);
 92:     EPSReasonView(eps,PETSC_VIEWER_STDOUT_WORLD);
 93:     EPSErrorView(eps,EPS_ERROR_RELATIVE,PETSC_VIEWER_STDOUT_WORLD);
 94:     PetscViewerPopFormat(PETSC_VIEWER_STDOUT_WORLD);
 95:   }

 97:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
 98:           Solve the eigensystem again, feeding the initial vectors
 99:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

101:   PetscPrintf(PETSC_COMM_WORLD," Solving again with eigenvectors as initial guesses\n");
102:   EPSSetInitialSpace(eps,neigs,X);
103:   EPSSolve(eps);

105:   if (terse) {
106:     EPSErrorView(eps,EPS_ERROR_RELATIVE,NULL);
107:   } else {
108:     PetscViewerPushFormat(PETSC_VIEWER_STDOUT_WORLD,PETSC_VIEWER_ASCII_INFO_DETAIL);
109:     EPSReasonView(eps,PETSC_VIEWER_STDOUT_WORLD);
110:     EPSErrorView(eps,EPS_ERROR_RELATIVE,PETSC_VIEWER_STDOUT_WORLD);
111:     PetscViewerPopFormat(PETSC_VIEWER_STDOUT_WORLD);
112:   }

114:   VecDestroy(&v);
115:   VecDestroyVecs(neigs,&X);
116:   EPSDestroy(&eps);
117:   MatDestroy(&A);
118:   SlepcFinalize();
119:   return ierr;
120: }

122: /*TEST

124:    test:
125:       suffix: 1
126:       args: -eps_type {{gd jd rqcg lobpcg}} -terse
127:       requires: !single
128:       output_file: output/test27_1.out

130:    test:
131:       suffix: 2
132:       args: -eps_interval .17,1.3 -st_type filter -eps_nev 1 -terse
133:       filter: grep -v "requested"
134:       requires: !single

136: TEST*/