Date: 2016-03-29T14:59:42+00:00

Actual source code: nepimpl.h
slepc-3.6.3 2016-03-29
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      1: /*
      2:    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
      3:    SLEPc - Scalable Library for Eigenvalue Problem Computations
      4:    Copyright (c) 2002-2015, Universitat Politecnica de Valencia, Spain

      6:    This file is part of SLEPc.

      8:    SLEPc is free software: you can redistribute it and/or modify it under  the
      9:    terms of version 3 of the GNU Lesser General Public License as published by
     10:    the Free Software Foundation.

     12:    SLEPc  is  distributed in the hope that it will be useful, but WITHOUT  ANY
     13:    WARRANTY;  without even the implied warranty of MERCHANTABILITY or  FITNESS
     14:    FOR  A  PARTICULAR PURPOSE. See the GNU Lesser General Public  License  for
     15:    more details.

     17:    You  should have received a copy of the GNU Lesser General  Public  License
     18:    along with SLEPc. If not, see <http://www.gnu.org/licenses/>.
     19:    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     20: */

     22: #if !defined(_NEPIMPL)
     23: #define _NEPIMPL

     25: #include <slepcnep.h>
     26: #include <slepc/private/slepcimpl.h>

     28: PETSC_EXTERN PetscBool NEPRegisterAllCalled;
     29: PETSC_EXTERN PetscErrorCode NEPRegisterAll(void);
     30: PETSC_EXTERN PetscLogEvent NEP_SetUp,NEP_Solve,NEP_Refine,NEP_FunctionEval,NEP_JacobianEval;

     32: typedef struct _NEPOps *NEPOps;

     34: struct _NEPOps {
     35:   PetscErrorCode (*solve)(NEP);
     36:   PetscErrorCode (*setup)(NEP);
     37:   PetscErrorCode (*setfromoptions)(PetscOptions*,NEP);
     38:   PetscErrorCode (*publishoptions)(NEP);
     39:   PetscErrorCode (*destroy)(NEP);
     40:   PetscErrorCode (*reset)(NEP);
     41:   PetscErrorCode (*view)(NEP,PetscViewer);
     42:   PetscErrorCode (*computevectors)(NEP);
     43: };

     45: /*
     46:      Maximum number of monitors you can run with a single NEP
     47: */
     48: #define MAXNEPMONITORS 5

     50: typedef enum { NEP_STATE_INITIAL,
     51:                NEP_STATE_SETUP,
     52:                NEP_STATE_SOLVED,
     53:                NEP_STATE_EIGENVECTORS } NEPStateType;

     55: /*
     56:    Defines the NEP data structure.
     57: */
     58: struct _p_NEP {
     59:   PETSCHEADER(struct _NEPOps);
     60:   /*------------------------- User parameters ---------------------------*/
     61:   PetscInt       max_it;           /* maximum number of iterations */
     62:   PetscInt       max_funcs;        /* maximum number of function evaluations */
     63:   PetscInt       nev;              /* number of eigenvalues to compute */
     64:   PetscInt       ncv;              /* number of basis vectors */
     65:   PetscInt       mpd;              /* maximum dimension of projected problem */
     66:   PetscInt       lag;              /* interval to rebuild preconditioner */
     67:   PetscInt       nini;             /* number of initial vectors (negative means not copied yet) */
     68:   PetscScalar    target;           /* target value */
     69:   PetscReal      abstol,rtol,stol; /* user tolerances */
     70:   PetscReal      ktol;             /* tolerance for linear solver */
     71:   PetscBool      cctol;            /* constant correction tolerance */
     72:   PetscReal      ttol;             /* tolerance used in the convergence criterion */
     73:   NEPWhich       which;            /* which part of the spectrum to be sought */
     74:   NEPRefine      refine;           /* type of refinement to be applied after solve */
     75:   PetscInt       npart;            /* number of partitions of the communicator */
     76:   PetscReal      reftol;           /* tolerance for refinement */
     77:   PetscInt       rits;             /* number of iterations of the refinement method */
     78:   PetscBool      trackall;         /* whether all the residuals must be computed */

     80:   /*-------------- User-provided functions and contexts -----------------*/
     81:   PetscErrorCode (*computefunction)(NEP,PetscScalar,Mat,Mat,void*);
     82:   PetscErrorCode (*computejacobian)(NEP,PetscScalar,Mat,void*);
     83:   void           *functionctx;
     84:   void           *jacobianctx;
     85:   PetscErrorCode (*converged)(NEP,PetscInt,PetscReal,PetscReal,PetscReal,NEPConvergedReason*,void*);
     86:   PetscErrorCode (*convergeddestroy)(void*);
     87:   void           *convergedctx;
     88:   PetscErrorCode (*monitor[MAXNEPMONITORS])(NEP,PetscInt,PetscInt,PetscScalar*,PetscReal*,PetscInt,void*);
     89:   PetscErrorCode (*monitordestroy[MAXNEPMONITORS])(void**);
     90:   void           *monitorcontext[MAXNEPMONITORS];
     91:   PetscInt       numbermonitors;

     93:   /*----------------- Child objects and working data -------------------*/
     94:   DS             ds;               /* direct solver object */
     95:   BV             V;                /* set of basis vectors and computed eigenvectors */
     96:   RG             rg;               /* optional region for filtering */
     97:   PetscRandom    rand;             /* random number generator */
     98:   SlepcSC        sc;               /* sorting criterion data */
     99:   KSP            ksp;              /* linear solver object */
    100:   Mat            function;         /* function matrix */
    101:   Mat            function_pre;     /* function matrix (preconditioner) */
    102:   Mat            jacobian;         /* Jacobian matrix */
    103:   Mat            *A;               /* matrix coefficients of split form */
    104:   FN             *f;               /* matrix functions of split form */
    105:   PetscInt       nt;               /* number of terms in split form */
    106:   MatStructure   mstr;             /* pattern of split matrices */
    107:   Vec            *IS;              /* references to user-provided initial space */
    108:   PetscScalar    *eigr,*eigi;      /* real and imaginary parts of eigenvalues */
    109:   PetscReal      *errest;          /* error estimates */
    110:   PetscInt       *perm;            /* permutation for eigenvalue ordering */
    111:   PetscInt       nwork;            /* number of work vectors */
    112:   Vec            *work;            /* work vectors */
    113:   void           *data;            /* placeholder for solver-specific stuff */

    115:   /* ----------------------- Status variables --------------------------*/
    116:   NEPStateType   state;            /* initial -> setup -> solved -> eigenvectors */
    117:   PetscInt       nconv;            /* number of converged eigenvalues */
    118:   PetscInt       its;              /* number of iterations so far computed */
    119:   PetscInt       n,nloc;           /* problem dimensions (global, local) */
    120:   PetscInt       nfuncs;           /* number of function evaluations */
    121:   PetscBool      split;            /* the nonlinear operator has been set in
    122:                                       split form, otherwise user callbacks are used */
    123:   NEPConvergedReason reason;
    124: };

    126: /*
    127:     Macros to test valid NEP arguments
    128: */
    129: #if !defined(PETSC_USE_DEBUG)

    131: #define NEPCheckSolved(h,arg) do {} while (0)

    133: #else

    135: #define NEPCheckSolved(h,arg) \
    136:   do { \
    137:     if (h->state<NEP_STATE_SOLVED) SETERRQ1(PetscObjectComm((PetscObject)h),PETSC_ERR_ARG_WRONGSTATE,"Must call NEPSolve() first: Parameter #%d",arg); \
    138:   } while (0)

    140: #endif

    144: PETSC_STATIC_INLINE PetscErrorCode NEP_KSPSolve(NEP nep,Vec b,Vec x)
    145: {
    147:   PetscInt       lits;

    150:   KSPSolve(nep->ksp,b,x);
    151:   KSPGetIterationNumber(nep->ksp,&lits);
    152:   PetscInfo2(nep,"iter=%D, linear solve iterations=%D\n",nep->its,lits);
    153:   return(0);
    154: }

    156: PETSC_INTERN PetscErrorCode NEPComputeVectors(NEP);
    157: PETSC_INTERN PetscErrorCode NEPGetDefaultShift(NEP,PetscScalar*);
    158: PETSC_INTERN PetscErrorCode NEPComputeResidualNorm_Private(NEP,PetscScalar,Vec,Vec*,PetscReal*);
    159: PETSC_INTERN PetscErrorCode NEPNewtonRefinementSimple(NEP,PetscInt*,PetscReal*,PetscInt);

    161: #endif