Date: 2022-03-31T15:29:13+00:00

Actual source code: test21.c
slepc-3.17.0 2022-03-31
Report Typos and Errors

      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[] = "Illustrates region filtering. "
     12:   "Based on ex5.\n"
     13:   "The command line options are:\n"
     14:   "  -m <m>, where <m> = number of grid subdivisions in each dimension.\n\n";

     16: #include <slepceps.h>

     18: /*
     19:    User-defined routines
     20: */
     21: PetscErrorCode MatMarkovModel(PetscInt m,Mat A);

     23: int main(int argc,char **argv)
     24: {
     25:   Mat            A;
     26:   EPS            eps;
     27:   ST             st;
     28:   RG             rg;
     29:   PetscReal      radius,tol=PETSC_SMALL;
     30:   PetscScalar    target=0.5,kr,ki;
     31:   PetscComplex   *eigs,eval;
     32:   PetscInt       N,m=15,nev,i,nconv;
     33:   PetscBool      checkfile;
     34:   char           filename[PETSC_MAX_PATH_LEN];
     35:   PetscViewer    viewer;
     36:   char           str[50];

     38:   SlepcInitialize(&argc,&argv,(char*)0,help);
     39: #if defined(PETSC_HAVE_COMPLEX)
     40:   PetscOptionsGetInt(NULL,NULL,"-m",&m,NULL);
     41:   N = m*(m+1)/2;
     42:   PetscPrintf(PETSC_COMM_WORLD,"\nMarkov Model, N=%" PetscInt_FMT " (m=%" PetscInt_FMT ")\n",N,m);
     43:   PetscOptionsGetScalar(NULL,NULL,"-target",&target,NULL);
     44:   SlepcSNPrintfScalar(str,sizeof(str),target,PETSC_FALSE);
     45:   PetscPrintf(PETSC_COMM_WORLD,"Searching closest eigenvalues to the right of %s.\n\n",str);

     47:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     48:      Compute the operator matrix that defines the eigensystem, Ax=kx
     49:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

     51:   MatCreate(PETSC_COMM_WORLD,&A);
     52:   MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,N,N);
     53:   MatSetFromOptions(A);
     54:   MatSetUp(A);
     55:   MatMarkovModel(m,A);

     57:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     58:                 Create a standalone spectral transformation
     59:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

     61:   STCreate(PETSC_COMM_WORLD,&st);
     62:   STSetType(st,STSINVERT);
     63:   STSetShift(st,target);

     65:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     66:                     Create a region for filtering
     67:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

     69:   RGCreate(PETSC_COMM_WORLD,&rg);
     70:   RGSetType(rg,RGELLIPSE);
     71:   radius = (1.0-PetscRealPart(target))/2.0;
     72:   RGEllipseSetParameters(rg,target+radius,radius,0.1);

     74:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     75:                 Create the eigensolver and set various options
     76:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

     78:   EPSCreate(PETSC_COMM_WORLD,&eps);
     79:   EPSSetST(eps,st);
     80:   EPSSetRG(eps,rg);
     81:   EPSSetOperators(eps,A,NULL);
     82:   EPSSetProblemType(eps,EPS_NHEP);
     83:   EPSSetTolerances(eps,tol,PETSC_DEFAULT);
     84:   EPSSetTarget(eps,target);
     85:   EPSSetFromOptions(eps);

     87:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     88:                Solve the eigensystem and display solution
     89:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

     91:   EPSSolve(eps);
     92:   EPSGetDimensions(eps,&nev,NULL,NULL);
     93:   PetscPrintf(PETSC_COMM_WORLD," Number of requested eigenvalues: %" PetscInt_FMT "\n",nev);
     94:   EPSErrorView(eps,EPS_ERROR_RELATIVE,NULL);

     96:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     97:                    Check file containing the eigenvalues
     98:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
     99:   PetscOptionsGetString(NULL,NULL,"-checkfile",filename,sizeof(filename),&checkfile);
    100:   if (checkfile) {
    101:     EPSGetConverged(eps,&nconv);
    102:     PetscMalloc1(nconv,&eigs);
    103:     PetscViewerBinaryOpen(PETSC_COMM_WORLD,filename,FILE_MODE_READ,&viewer);
    104:     PetscViewerBinaryRead(viewer,eigs,nconv,NULL,PETSC_COMPLEX);
    105:     PetscViewerDestroy(&viewer);
    106:     for (i=0;i<nconv;i++) {
    107:       EPSGetEigenpair(eps,i,&kr,&ki,NULL,NULL);
    108: #if defined(PETSC_USE_COMPLEX)
    109:       eval = kr;
    110: #else
    111:       eval = PetscCMPLX(kr,ki);
    112: #endif
    114:     }
    115:     PetscFree(eigs);
    116:   }

    118:   EPSDestroy(&eps);
    119:   STDestroy(&st);
    120:   RGDestroy(&rg);
    121:   MatDestroy(&A);
    122: #else
    123:   SETERRQ(PETSC_COMM_WORLD,PETSC_ERR_SUP,"This example requires C99 complex numbers");
    124: #endif
    125:   SlepcFinalize();
    126:   return 0;
    127: }

    129: PetscErrorCode MatMarkovModel(PetscInt m,Mat A)
    130: {
    131:   const PetscReal cst = 0.5/(PetscReal)(m-1);
    132:   PetscReal       pd,pu;
    133:   PetscInt        Istart,Iend,i,j,jmax,ix=0;

    136:   MatGetOwnershipRange(A,&Istart,&Iend);
    137:   for (i=1;i<=m;i++) {
    138:     jmax = m-i+1;
    139:     for (j=1;j<=jmax;j++) {
    140:       ix = ix + 1;
    141:       if (ix-1<Istart || ix>Iend) continue;  /* compute only owned rows */
    142:       if (j!=jmax) {
    143:         pd = cst*(PetscReal)(i+j-1);
    144:         /* north */
    145:         if (i==1) MatSetValue(A,ix-1,ix,2*pd,INSERT_VALUES);
    146:         else MatSetValue(A,ix-1,ix,pd,INSERT_VALUES);
    147:         /* east */
    148:         if (j==1) MatSetValue(A,ix-1,ix+jmax-1,2*pd,INSERT_VALUES);
    149:         else MatSetValue(A,ix-1,ix+jmax-1,pd,INSERT_VALUES);
    150:       }
    151:       /* south */
    152:       pu = 0.5 - cst*(PetscReal)(i+j-3);
    153:       if (j>1) MatSetValue(A,ix-1,ix-2,pu,INSERT_VALUES);
    154:       /* west */
    155:       if (i>1) MatSetValue(A,ix-1,ix-jmax-2,pu,INSERT_VALUES);
    156:     }
    157:   }
    158:   MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);
    159:   MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);
    160:   PetscFunctionReturn(0);
    161: }

    163: /*TEST

    165:    test:
    166:       suffix: 1
    167:       args: -eps_nev 4 -eps_ncv 20 -eps_view_values binary:myvalues.bin -checkfile myvalues.bin
    168:       output_file: output/test11_1.out
    169:       requires: !single c99_complex

    171: TEST*/