Date: 2020-01-13T12:02:27+00:00

Actual source code: pepimpl.h
slepc-3.12.2 2020-01-13
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      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: #if !defined(SLEPCPEPIMPL_H)
     12: #define SLEPCPEPIMPL_H

     14: #include <slepcpep.h>
     15: #include <slepc/private/slepcimpl.h>

     17: SLEPC_EXTERN PetscBool PEPRegisterAllCalled;
     18: SLEPC_EXTERN PetscErrorCode PEPRegisterAll(void);
     19: SLEPC_EXTERN PetscLogEvent PEP_SetUp,PEP_Solve,PEP_Refine;

     21: typedef struct _PEPOps *PEPOps;

     23: struct _PEPOps {
     24:   PetscErrorCode (*solve)(PEP);
     25:   PetscErrorCode (*setup)(PEP);
     26:   PetscErrorCode (*setfromoptions)(PetscOptionItems*,PEP);
     27:   PetscErrorCode (*publishoptions)(PEP);
     28:   PetscErrorCode (*destroy)(PEP);
     29:   PetscErrorCode (*reset)(PEP);
     30:   PetscErrorCode (*view)(PEP,PetscViewer);
     31:   PetscErrorCode (*backtransform)(PEP);
     32:   PetscErrorCode (*computevectors)(PEP);
     33:   PetscErrorCode (*extractvectors)(PEP);
     34:   PetscErrorCode (*setdefaultst)(PEP);
     35: };

     37: /*
     38:      Maximum number of monitors you can run with a single PEP
     39: */
     40: #define MAXPEPMONITORS 5

     42: typedef enum { PEP_STATE_INITIAL,
     43:                PEP_STATE_SETUP,
     44:                PEP_STATE_SOLVED,
     45:                PEP_STATE_EIGENVECTORS } PEPStateType;

     47: /*
     48:    Defines the PEP data structure.
     49: */
     50: struct _p_PEP {
     51:   PETSCHEADER(struct _PEPOps);
     52:   /*------------------------- User parameters ---------------------------*/
     53:   PetscInt       max_it;           /* maximum number of iterations */
     54:   PetscInt       nev;              /* number of eigenvalues to compute */
     55:   PetscInt       ncv;              /* number of basis vectors */
     56:   PetscInt       mpd;              /* maximum dimension of projected problem */
     57:   PetscInt       nini;             /* number of initial vectors (negative means not copied yet) */
     58:   PetscScalar    target;           /* target value */
     59:   PetscReal      tol;              /* tolerance */
     60:   PEPConv        conv;             /* convergence test */
     61:   PEPStop        stop;             /* stopping test */
     62:   PEPWhich       which;            /* which part of the spectrum to be sought */
     63:   PetscReal      inta,intb;        /* interval [a,b] for spectrum slicing */
     64:   PEPBasis       basis;            /* polynomial basis used to represent the problem */
     65:   PEPProblemType problem_type;     /* which kind of problem to be solved */
     66:   PEPScale       scale;            /* scaling strategy to be used */
     67:   PetscReal      sfactor,dsfactor; /* scaling factors */
     68:   PetscInt       sits;             /* number of iterations of the scaling method */
     69:   PetscReal      slambda;          /* norm eigenvalue approximation for scaling */
     70:   PEPRefine      refine;           /* type of refinement to be applied after solve */
     71:   PetscInt       npart;            /* number of partitions of the communicator */
     72:   PetscReal      rtol;             /* tolerance for refinement */
     73:   PetscInt       rits;             /* number of iterations of the refinement method */
     74:   PEPRefineScheme scheme;          /* scheme for solving linear systems within refinement */
     75:   PEPExtract     extract;          /* type of extraction used */
     76:   PetscBool      trackall;         /* whether all the residuals must be computed */

     78:   /*-------------- User-provided functions and contexts -----------------*/
     79:   PetscErrorCode (*converged)(PEP,PetscScalar,PetscScalar,PetscReal,PetscReal*,void*);
     80:   PetscErrorCode (*convergeduser)(PEP,PetscScalar,PetscScalar,PetscReal,PetscReal*,void*);
     81:   PetscErrorCode (*convergeddestroy)(void*);
     82:   PetscErrorCode (*stopping)(PEP,PetscInt,PetscInt,PetscInt,PetscInt,PEPConvergedReason*,void*);
     83:   PetscErrorCode (*stoppinguser)(PEP,PetscInt,PetscInt,PetscInt,PetscInt,PEPConvergedReason*,void*);
     84:   PetscErrorCode (*stoppingdestroy)(void*);
     85:   void           *convergedctx;
     86:   void           *stoppingctx;
     87:   PetscErrorCode (*monitor[MAXPEPMONITORS])(PEP,PetscInt,PetscInt,PetscScalar*,PetscScalar*,PetscReal*,PetscInt,void*);
     88:   PetscErrorCode (*monitordestroy[MAXPEPMONITORS])(void**);
     89:   void           *monitorcontext[MAXPEPMONITORS];
     90:   PetscInt        numbermonitors;

     92:   /*----------------- Child objects and working data -------------------*/
     93:   ST             st;               /* spectral transformation object */
     94:   DS             ds;               /* direct solver object */
     95:   BV             V;                /* set of basis vectors and computed eigenvectors */
     96:   RG             rg;               /* optional region for filtering */
     97:   SlepcSC        sc;               /* sorting criterion data */
     98:   Mat            *A;               /* coefficient matrices of the polynomial */
     99:   PetscInt       nmat;             /* number of matrices */
    100:   Vec            Dl,Dr;            /* diagonal matrices for balancing */
    101:   Vec            *IS;              /* references to user-provided initial space */
    102:   PetscScalar    *eigr,*eigi;      /* real and imaginary parts of eigenvalues */
    103:   PetscReal      *errest;          /* error estimates */
    104:   PetscInt       *perm;            /* permutation for eigenvalue ordering */
    105:   PetscReal      *pbc;             /* coefficients defining the polynomial basis */
    106:   PetscScalar    *solvematcoeffs;  /* coefficients to compute the matrix to be inverted */
    107:   PetscInt       nwork;            /* number of work vectors */
    108:   Vec            *work;            /* work vectors */
    109:   KSP            refineksp;        /* ksp used in refinement */
    110:   PetscSubcomm   refinesubc;       /* context for sub-communicators */
    111:   void           *data;            /* placeholder for solver-specific stuff */

    113:   /* ----------------------- Status variables --------------------------*/
    114:   PEPStateType   state;            /* initial -> setup -> solved -> eigenvectors */
    115:   PetscInt       nconv;            /* number of converged eigenvalues */
    116:   PetscInt       its;              /* number of iterations so far computed */
    117:   PetscInt       n,nloc;           /* problem dimensions (global, local) */
    118:   PetscReal      *nrma;            /* computed matrix norms */
    119:   PetscReal      nrml[2];          /* computed matrix norms for the linearization */
    120:   PetscBool      sfactor_set;      /* flag to indicate the user gave sfactor */
    121:   PetscBool      lineariz;         /* current solver is based on linearization */
    122:   PEPConvergedReason reason;
    123: };

    125: /*
    126:     Macros to test valid PEP arguments
    127: */
    128: #if !defined(PETSC_USE_DEBUG)

    130: #define PEPCheckSolved(h,arg) do {} while (0)

    132: #else

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

    139: #endif

    141: SLEPC_INTERN PetscErrorCode PEPSetDimensions_Default(PEP,PetscInt,PetscInt*,PetscInt*);
    142: SLEPC_INTERN PetscErrorCode PEPExtractVectors(PEP);
    143: SLEPC_INTERN PetscErrorCode PEPBackTransform_Default(PEP);
    144: SLEPC_INTERN PetscErrorCode PEPComputeVectors(PEP);
    145: SLEPC_INTERN PetscErrorCode PEPComputeVectors_Default(PEP);
    146: SLEPC_INTERN PetscErrorCode PEPComputeVectors_Indefinite(PEP);
    147: SLEPC_INTERN PetscErrorCode PEPComputeResidualNorm_Private(PEP,PetscScalar,PetscScalar,Vec,Vec,Vec*,PetscReal*);
    148: SLEPC_INTERN PetscErrorCode PEPKrylovConvergence(PEP,PetscBool,PetscInt,PetscInt,PetscReal,PetscInt*);
    149: SLEPC_INTERN PetscErrorCode PEPComputeScaleFactor(PEP);
    150: SLEPC_INTERN PetscErrorCode PEPBuildDiagonalScaling(PEP);
    151: SLEPC_INTERN PetscErrorCode PEPBasisCoefficients(PEP,PetscReal*);
    152: SLEPC_INTERN PetscErrorCode PEPEvaluateBasis(PEP,PetscScalar,PetscScalar,PetscScalar*,PetscScalar*);
    153: SLEPC_INTERN PetscErrorCode PEPEvaluateBasisDerivative(PEP,PetscScalar,PetscScalar,PetscScalar*,PetscScalar*);
    154: SLEPC_INTERN PetscErrorCode PEPEvaluateBasisMat(PEP,PetscInt,PetscScalar*,PetscInt,PetscInt,PetscScalar*,PetscInt,PetscScalar*,PetscInt,PetscScalar*,PetscInt);
    155: SLEPC_INTERN PetscErrorCode PEPNewtonRefinement_TOAR(PEP,PetscScalar,PetscInt*,PetscReal*,PetscInt,PetscScalar*,PetscInt);
    156: SLEPC_INTERN PetscErrorCode PEPNewtonRefinementSimple(PEP,PetscInt*,PetscReal,PetscInt);
    157: SLEPC_INTERN PetscErrorCode PEPSetDefaultST(PEP);
    158: SLEPC_INTERN PetscErrorCode PEPSetDefaultST_Transform(PEP);

    160: #endif