LCOV - code coverage report
Current view: top level - eps/tutorials - ex10.c (source / functions) Hit Total Coverage
Test: SLEPc Lines: 88 92 95.7 %
Date: 2024-11-21 00:34:55 Functions: 7 7 100.0 %
Legend: Lines: hit not hit

          Line data    Source code
       1             : /*
       2             :    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
       3             :    SLEPc - Scalable Library for Eigenvalue Problem Computations
       4             :    Copyright (c) 2002-, Universitat Politecnica de Valencia, Spain
       5             : 
       6             :    This file is part of SLEPc.
       7             :    SLEPc is distributed under a 2-clause BSD license (see LICENSE).
       8             :    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
       9             : */
      10             : 
      11             : static char help[] = "Illustrates the use of shell spectral transformations. "
      12             :   "The problem to be solved is the same as ex1.c and"
      13             :   "corresponds to the Laplacian operator in 1 dimension.\n\n"
      14             :   "The command line options are:\n"
      15             :   "  -n <n>, where <n> = number of grid subdivisions = matrix dimension.\n\n";
      16             : 
      17             : #include <slepceps.h>
      18             : 
      19             : /* Define context for user-provided spectral transformation */
      20             : typedef struct {
      21             :   KSP        ksp;
      22             : } SampleShellST;
      23             : 
      24             : /* Declare routines for user-provided spectral transformation */
      25             : PetscErrorCode STCreate_User(SampleShellST**);
      26             : PetscErrorCode STSetUp_User(SampleShellST*,ST);
      27             : PetscErrorCode STApply_User(ST,Vec,Vec);
      28             : PetscErrorCode STApplyTranspose_User(ST,Vec,Vec);
      29             : #if defined(PETSC_USE_COMPLEX)
      30             : PetscErrorCode STApplyHermitianTranspose_User(ST,Vec,Vec);
      31             : #endif
      32             : PetscErrorCode STBackTransform_User(ST,PetscInt,PetscScalar*,PetscScalar*);
      33             : PetscErrorCode STDestroy_User(SampleShellST*);
      34             : 
      35           6 : int main (int argc,char **argv)
      36             : {
      37           6 :   Mat            A;               /* operator matrix */
      38           6 :   EPS            eps;             /* eigenproblem solver context */
      39           6 :   ST             st;              /* spectral transformation context */
      40           6 :   SampleShellST  *shell;          /* user-defined spectral transform context */
      41           6 :   EPSType        type;
      42           6 :   PetscInt       n=30,i,Istart,Iend,nev;
      43           6 :   PetscBool      isShell,terse;
      44           6 :   PetscBool      set_ht=PETSC_FALSE;
      45             : 
      46           6 :   PetscFunctionBeginUser;
      47           6 :   PetscCall(SlepcInitialize(&argc,&argv,NULL,help));
      48             : 
      49           6 :   PetscCall(PetscOptionsGetInt(NULL,NULL,"-n",&n,NULL));
      50           6 :   PetscCall(PetscPrintf(PETSC_COMM_WORLD,"\n1-D Laplacian Eigenproblem (shell-enabled), n=%" PetscInt_FMT "\n\n",n));
      51           6 :   PetscCall(PetscOptionsGetBool(NULL,NULL,"-set_ht",&set_ht,NULL));
      52             : 
      53             :   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
      54             :      Compute the operator matrix that defines the eigensystem, Ax=kx
      55             :      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
      56             : 
      57           6 :   PetscCall(MatCreate(PETSC_COMM_WORLD,&A));
      58           6 :   PetscCall(MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,n,n));
      59           6 :   PetscCall(MatSetFromOptions(A));
      60             : 
      61           6 :   PetscCall(MatGetOwnershipRange(A,&Istart,&Iend));
      62         186 :   for (i=Istart;i<Iend;i++) {
      63         180 :     if (i>0) PetscCall(MatSetValue(A,i,i-1,-1.0,INSERT_VALUES));
      64         180 :     if (i<n-1) PetscCall(MatSetValue(A,i,i+1,-1.0,INSERT_VALUES));
      65         180 :     PetscCall(MatSetValue(A,i,i,2.0,INSERT_VALUES));
      66             :   }
      67           6 :   PetscCall(MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY));
      68           6 :   PetscCall(MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY));
      69             : 
      70             :   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
      71             :                 Create the eigensolver and set various options
      72             :      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
      73             : 
      74             :   /*
      75             :      Create eigensolver context
      76             :   */
      77           6 :   PetscCall(EPSCreate(PETSC_COMM_WORLD,&eps));
      78             : 
      79             :   /*
      80             :      Set operators. In this case, it is a standard eigenvalue problem
      81             :   */
      82           6 :   PetscCall(EPSSetOperators(eps,A,NULL));
      83           6 :   PetscCall(EPSSetProblemType(eps,EPS_HEP));
      84             : 
      85             :   /*
      86             :      Set solver parameters at runtime
      87             :   */
      88           6 :   PetscCall(EPSSetFromOptions(eps));
      89             : 
      90             :   /*
      91             :      Initialize shell spectral transformation if selected by user
      92             :   */
      93           6 :   PetscCall(EPSGetST(eps,&st));
      94           6 :   PetscCall(PetscObjectTypeCompare((PetscObject)st,STSHELL,&isShell));
      95           6 :   if (isShell) {
      96             :     /* Change sorting criterion since this ST example computes values
      97             :        closest to 0 */
      98           3 :     PetscCall(EPSSetWhichEigenpairs(eps,EPS_SMALLEST_REAL));
      99             : 
     100             :     /* (Required) Create a context for the user-defined spectral transform;
     101             :        this context can be defined to contain any application-specific data. */
     102           3 :     PetscCall(STCreate_User(&shell));
     103           3 :     PetscCall(STShellSetContext(st,shell));
     104             : 
     105             :     /* (Required) Set the user-defined routine for applying the operator */
     106           3 :     PetscCall(STShellSetApply(st,STApply_User));
     107             : 
     108             :     /* (Optional) Set the user-defined routine for applying the transposed operator */
     109           3 :     PetscCall(STShellSetApplyTranspose(st,STApplyTranspose_User));
     110             : 
     111             :     /* (Optional) Set the user-defined routine for applying the conjugate-transposed operator */
     112             : #if defined(PETSC_USE_COMPLEX)
     113             :     if (set_ht) PetscCall(STShellSetApplyHermitianTranspose(st,STApplyHermitianTranspose_User));
     114             : #endif
     115             : 
     116             :     /* (Optional) Set the user-defined routine for back-transformation */
     117           3 :     PetscCall(STShellSetBackTransform(st,STBackTransform_User));
     118             : 
     119             :     /* (Optional) Set a name for the transformation, used for STView() */
     120           3 :     PetscCall(PetscObjectSetName((PetscObject)st,"MyTransformation"));
     121             : 
     122             :     /* (Optional) Do any setup required for the new transformation */
     123           3 :     PetscCall(STSetUp_User(shell,st));
     124             :   }
     125             : 
     126             :   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     127             :                       Solve the eigensystem
     128             :      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
     129             : 
     130           6 :   PetscCall(EPSSolve(eps));
     131             : 
     132             :   /*
     133             :      Optional: Get some information from the solver and display it
     134             :   */
     135           6 :   PetscCall(EPSGetType(eps,&type));
     136           6 :   PetscCall(PetscPrintf(PETSC_COMM_WORLD," Solution method: %s\n\n",type));
     137           6 :   PetscCall(EPSGetDimensions(eps,&nev,NULL,NULL));
     138           6 :   PetscCall(PetscPrintf(PETSC_COMM_WORLD," Number of requested eigenvalues: %" PetscInt_FMT "\n",nev));
     139             : 
     140             :   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     141             :                     Display solution and clean up
     142             :      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
     143             : 
     144             :   /* show detailed info unless -terse option is given by user */
     145           6 :   PetscCall(PetscOptionsHasName(NULL,NULL,"-terse",&terse));
     146           6 :   if (terse) PetscCall(EPSErrorView(eps,EPS_ERROR_RELATIVE,NULL));
     147             :   else {
     148           0 :     PetscCall(PetscViewerPushFormat(PETSC_VIEWER_STDOUT_WORLD,PETSC_VIEWER_ASCII_INFO_DETAIL));
     149           0 :     PetscCall(EPSConvergedReasonView(eps,PETSC_VIEWER_STDOUT_WORLD));
     150           0 :     PetscCall(EPSErrorView(eps,EPS_ERROR_RELATIVE,PETSC_VIEWER_STDOUT_WORLD));
     151           0 :     PetscCall(PetscViewerPopFormat(PETSC_VIEWER_STDOUT_WORLD));
     152             :   }
     153           6 :   if (isShell) PetscCall(STDestroy_User(shell));
     154           6 :   PetscCall(EPSDestroy(&eps));
     155           6 :   PetscCall(MatDestroy(&A));
     156           6 :   PetscCall(SlepcFinalize());
     157             :   return 0;
     158             : }
     159             : 
     160             : /***********************************************************************/
     161             : /*     Routines for a user-defined shell spectral transformation       */
     162             : /***********************************************************************/
     163             : 
     164             : /*
     165             :    STCreate_User - This routine creates a user-defined
     166             :    spectral transformation context.
     167             : 
     168             :    Output Parameter:
     169             : .  shell - user-defined spectral transformation context
     170             : */
     171           3 : PetscErrorCode STCreate_User(SampleShellST **shell)
     172             : {
     173           3 :   SampleShellST  *newctx;
     174             : 
     175           3 :   PetscFunctionBeginUser;
     176           3 :   PetscCall(PetscNew(&newctx));
     177           3 :   PetscCall(KSPCreate(PETSC_COMM_WORLD,&newctx->ksp));
     178           3 :   PetscCall(KSPAppendOptionsPrefix(newctx->ksp,"st_"));
     179           3 :   *shell = newctx;
     180           3 :   PetscFunctionReturn(PETSC_SUCCESS);
     181             : }
     182             : /* ------------------------------------------------------------------- */
     183             : /*
     184             :    STSetUp_User - This routine sets up a user-defined
     185             :    spectral transformation context.
     186             : 
     187             :    Input Parameters:
     188             : +  shell - user-defined spectral transformation context
     189             : -  st    - spectral transformation context containing the operator matrices
     190             : 
     191             :    Output Parameter:
     192             : .  shell - fully set up user-defined transformation context
     193             : 
     194             :    Notes:
     195             :    In this example, the user-defined transformation is simply OP=A^-1.
     196             :    Therefore, the eigenpairs converge in reversed order. The KSP object
     197             :    used for the solution of linear systems with A is handled via the
     198             :    user-defined context SampleShellST.
     199             : */
     200           3 : PetscErrorCode STSetUp_User(SampleShellST *shell,ST st)
     201             : {
     202           3 :   Mat            A;
     203             : 
     204           3 :   PetscFunctionBeginUser;
     205           3 :   PetscCall(STGetMatrix(st,0,&A));
     206           3 :   PetscCall(KSPSetOperators(shell->ksp,A,A));
     207           3 :   PetscCall(KSPSetFromOptions(shell->ksp));
     208           3 :   PetscFunctionReturn(PETSC_SUCCESS);
     209             : }
     210             : /* ------------------------------------------------------------------- */
     211             : /*
     212             :    STApply_User - This routine demonstrates the use of a
     213             :    user-provided spectral transformation.
     214             : 
     215             :    Input Parameters:
     216             : +  st - spectral transformation context
     217             : -  x - input vector
     218             : 
     219             :    Output Parameter:
     220             : .  y - output vector
     221             : 
     222             :    Notes:
     223             :    The transformation implemented in this code is just OP=A^-1 and
     224             :    therefore it is of little use, merely as an example of working with
     225             :    a STSHELL.
     226             : */
     227          70 : PetscErrorCode STApply_User(ST st,Vec x,Vec y)
     228             : {
     229          70 :   SampleShellST  *shell;
     230             : 
     231          70 :   PetscFunctionBeginUser;
     232          70 :   PetscCall(STShellGetContext(st,&shell));
     233          70 :   PetscCall(KSPSolve(shell->ksp,x,y));
     234          70 :   PetscFunctionReturn(PETSC_SUCCESS);
     235             : }
     236             : /* ------------------------------------------------------------------- */
     237             : /*
     238             :    STApplyTranspose_User - This is not required unless using a two-sided
     239             :    eigensolver.
     240             : 
     241             :    Input Parameters:
     242             : +  st - spectral transformation context
     243             : -  x - input vector
     244             : 
     245             :    Output Parameter:
     246             : .  y - output vector
     247             : */
     248          10 : PetscErrorCode STApplyTranspose_User(ST st,Vec x,Vec y)
     249             : {
     250          10 :   SampleShellST  *shell;
     251             : 
     252          10 :   PetscFunctionBeginUser;
     253          10 :   PetscCall(STShellGetContext(st,&shell));
     254          10 :   PetscCall(KSPSolveTranspose(shell->ksp,x,y));
     255          10 :   PetscFunctionReturn(PETSC_SUCCESS);
     256             : }
     257             : #if defined(PETSC_USE_COMPLEX)
     258             : /* ------------------------------------------------------------------- */
     259             : /*
     260             :    STApplyHermitianTranspose_User - This is not required unless using a two-sided
     261             :    eigensolver in complex scalars.
     262             : 
     263             :    Input Parameters:
     264             : +  st - spectral transformation context
     265             : -  x - input vector
     266             : 
     267             :    Output Parameter:
     268             : .  y - output vector
     269             : */
     270             : PetscErrorCode STApplyHermitianTranspose_User(ST st,Vec x,Vec y)
     271             : {
     272             :   SampleShellST  *shell;
     273             :   Vec            w;
     274             : 
     275             :   PetscFunctionBeginUser;
     276             :   PetscCall(STShellGetContext(st,&shell));
     277             :   PetscCall(VecDuplicate(x,&w));
     278             :   PetscCall(VecCopy(x,w));
     279             :   PetscCall(VecConjugate(w));
     280             :   PetscCall(KSPSolveTranspose(shell->ksp,w,y));
     281             :   PetscCall(VecConjugate(y));
     282             :   PetscCall(VecDestroy(&w));
     283             :   PetscFunctionReturn(PETSC_SUCCESS);
     284             : }
     285             : #endif
     286             : /* ------------------------------------------------------------------- */
     287             : /*
     288             :    STBackTransform_User - This routine demonstrates the use of a
     289             :    user-provided spectral transformation.
     290             : 
     291             :    Input Parameters:
     292             : +  st - spectral transformation context
     293             : -  n  - number of eigenvalues to transform
     294             : 
     295             :    Input/Output Parameters:
     296             : +  eigr - pointer to real part of eigenvalues
     297             : -  eigi - pointer to imaginary part of eigenvalues
     298             : 
     299             :    Notes:
     300             :    This code implements the back transformation of eigenvalues in
     301             :    order to retrieve the eigenvalues of the original problem. In this
     302             :    example, simply set k_i = 1/k_i.
     303             : */
     304         573 : PetscErrorCode STBackTransform_User(ST st,PetscInt n,PetscScalar *eigr,PetscScalar *eigi)
     305             : {
     306         573 :   PetscInt j;
     307             : 
     308         573 :   PetscFunctionBeginUser;
     309        1734 :   for (j=0;j<n;j++) {
     310        1161 :     eigr[j] = 1.0 / eigr[j];
     311             :   }
     312         573 :   PetscFunctionReturn(PETSC_SUCCESS);
     313             : }
     314             : /* ------------------------------------------------------------------- */
     315             : /*
     316             :    STDestroy_User - This routine destroys a user-defined
     317             :    spectral transformation context.
     318             : 
     319             :    Input Parameter:
     320             : .  shell - user-defined spectral transformation context
     321             : */
     322           3 : PetscErrorCode STDestroy_User(SampleShellST *shell)
     323             : {
     324           3 :   PetscFunctionBeginUser;
     325           3 :   PetscCall(KSPDestroy(&shell->ksp));
     326           3 :   PetscCall(PetscFree(shell));
     327           3 :   PetscFunctionReturn(PETSC_SUCCESS);
     328             : }
     329             : 
     330             : /*TEST
     331             : 
     332             :    testset:
     333             :       args: -eps_nev 5 -eps_non_hermitian -terse
     334             :       output_file: output/ex10_1.out
     335             :       test:
     336             :          suffix: 1_sinvert
     337             :          args: -st_type sinvert
     338             :          requires: !single
     339             :       test:
     340             :          suffix: 1_sinvert_twoside
     341             :          args: -st_type sinvert -eps_balance twoside -set_ht {{0 1}}
     342             :          requires: !single
     343             :       test:
     344             :          suffix: 1_shell
     345             :          args: -st_type shell
     346             :          requires: !single
     347             :       test:
     348             :          suffix: 1_shell_twoside
     349             :          args: -st_type shell -eps_balance twoside -set_ht {{0 1}}
     350             : 
     351             : TEST*/

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