/usr/lib/slepcdir/3.7.4/x86_64-linux-gnu-real/include/slepc/private/pepimpl.h is in libslepc3.7.4-dev 3.7.4+dfsg1-2build8.
This file is owned by root:root, with mode 0o644.
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SLEPc - Scalable Library for Eigenvalue Problem Computations
Copyright (c) 2002-2016, Universitat Politecnica de Valencia, Spain
This file is part of SLEPc.
SLEPc is free software: you can redistribute it and/or modify it under the
terms of version 3 of the GNU Lesser General Public License as published by
the Free Software Foundation.
SLEPc is distributed in the hope that it will be useful, but WITHOUT ANY
WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for
more details.
You should have received a copy of the GNU Lesser General Public License
along with SLEPc. If not, see <http://www.gnu.org/licenses/>.
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*/
#if !defined(_PEPIMPL)
#define _PEPIMPL
#include <slepcpep.h>
#include <slepc/private/slepcimpl.h>
PETSC_EXTERN PetscBool PEPRegisterAllCalled;
PETSC_EXTERN PetscErrorCode PEPRegisterAll(void);
PETSC_EXTERN PetscLogEvent PEP_SetUp,PEP_Solve,PEP_Refine;
typedef struct _PEPOps *PEPOps;
struct _PEPOps {
PetscErrorCode (*solve)(PEP);
PetscErrorCode (*setup)(PEP);
PetscErrorCode (*setfromoptions)(PetscOptionItems*,PEP);
PetscErrorCode (*publishoptions)(PEP);
PetscErrorCode (*destroy)(PEP);
PetscErrorCode (*reset)(PEP);
PetscErrorCode (*view)(PEP,PetscViewer);
PetscErrorCode (*backtransform)(PEP);
PetscErrorCode (*computevectors)(PEP);
PetscErrorCode (*extractvectors)(PEP);
};
/*
Maximum number of monitors you can run with a single PEP
*/
#define MAXPEPMONITORS 5
typedef enum { PEP_STATE_INITIAL,
PEP_STATE_SETUP,
PEP_STATE_SOLVED,
PEP_STATE_EIGENVECTORS } PEPStateType;
/*
Defines the PEP data structure.
*/
struct _p_PEP {
PETSCHEADER(struct _PEPOps);
/*------------------------- User parameters ---------------------------*/
PetscInt max_it; /* maximum number of iterations */
PetscInt nev; /* number of eigenvalues to compute */
PetscInt ncv; /* number of basis vectors */
PetscInt mpd; /* maximum dimension of projected problem */
PetscInt nini; /* number of initial vectors (negative means not copied yet) */
PetscScalar target; /* target value */
PetscReal tol; /* tolerance */
PEPConv conv; /* convergence test */
PEPStop stop; /* stopping test */
PEPWhich which; /* which part of the spectrum to be sought */
PEPBasis basis; /* polynomial basis used to represent the problem */
PEPProblemType problem_type; /* which kind of problem to be solved */
PEPScale scale; /* scaling strategy to be used */
PetscReal sfactor,dsfactor; /* scaling factors */
PetscInt sits; /* number of iterations of the scaling method */
PetscReal slambda; /* norm eigenvalue approximation for scaling */
PEPRefine refine; /* type of refinement to be applied after solve */
PetscInt npart; /* number of partitions of the communicator */
PetscReal rtol; /* tolerance for refinement */
PetscInt rits; /* number of iterations of the refinement method */
PEPRefineScheme scheme; /* scheme for solving linear systems within refinement */
PEPExtract extract; /* type of extraction used */
PetscBool trackall; /* whether all the residuals must be computed */
/*-------------- User-provided functions and contexts -----------------*/
PetscErrorCode (*converged)(PEP,PetscScalar,PetscScalar,PetscReal,PetscReal*,void*);
PetscErrorCode (*convergeddestroy)(void*);
PetscErrorCode (*stopping)(PEP,PetscInt,PetscInt,PetscInt,PetscInt,PEPConvergedReason*,void*);
PetscErrorCode (*stoppingdestroy)(void*);
void *convergedctx;
void *stoppingctx;
PetscErrorCode (*monitor[MAXPEPMONITORS])(PEP,PetscInt,PetscInt,PetscScalar*,PetscScalar*,PetscReal*,PetscInt,void*);
PetscErrorCode (*monitordestroy[MAXPEPMONITORS])(void**);
void *monitorcontext[MAXPEPMONITORS];
PetscInt numbermonitors;
/*----------------- Child objects and working data -------------------*/
ST st; /* spectral transformation object */
DS ds; /* direct solver object */
BV V; /* set of basis vectors and computed eigenvectors */
RG rg; /* optional region for filtering */
SlepcSC sc; /* sorting criterion data */
Mat *A; /* coefficient matrices of the polynomial */
PetscInt nmat; /* number of matrices */
Vec Dl,Dr; /* diagonal matrices for balancing */
Vec *IS; /* references to user-provided initial space */
PetscScalar *eigr,*eigi; /* real and imaginary parts of eigenvalues */
PetscReal *errest; /* error estimates */
PetscInt *perm; /* permutation for eigenvalue ordering */
PetscReal *pbc; /* coefficients defining the polynomial basis */
PetscScalar *solvematcoeffs; /* coefficients to compute the matrix to be inverted */
PetscInt nwork; /* number of work vectors */
Vec *work; /* work vectors */
KSP refineksp; /* ksp used in refinement */
PetscSubcomm refinesubc; /* context for sub-communicators */
void *data; /* placeholder for solver-specific stuff */
/* ----------------------- Status variables --------------------------*/
PEPStateType state; /* initial -> setup -> solved -> eigenvectors */
PetscInt nconv; /* number of converged eigenvalues */
PetscInt its; /* number of iterations so far computed */
PetscInt n,nloc; /* problem dimensions (global, local) */
PetscReal *nrma; /* computed matrix norms */
PetscReal nrml[2]; /* computed matrix norms for the linearization */
PetscBool sfactor_set; /* flag to indicate the user gave sfactor */
PetscBool lineariz; /* current solver is based on linearization */
PEPConvergedReason reason;
};
/*
Macros to test valid PEP arguments
*/
#if !defined(PETSC_USE_DEBUG)
#define PEPCheckSolved(h,arg) do {} while (0)
#else
#define PEPCheckSolved(h,arg) \
do { \
if (h->state<PEP_STATE_SOLVED) SETERRQ1(PetscObjectComm((PetscObject)h),PETSC_ERR_ARG_WRONGSTATE,"Must call PEPSolve() first: Parameter #%d",arg); \
} while (0)
#endif
PETSC_INTERN PetscErrorCode PEPSetDimensions_Default(PEP,PetscInt,PetscInt*,PetscInt*);
PETSC_INTERN PetscErrorCode PEPExtractVectors(PEP);
PETSC_INTERN PetscErrorCode PEPBackTransform_Default(PEP);
PETSC_INTERN PetscErrorCode PEPComputeVectors(PEP);
PETSC_INTERN PetscErrorCode PEPComputeVectors_Default(PEP);
PETSC_INTERN PetscErrorCode PEPComputeVectors_Indefinite(PEP);
PETSC_INTERN PetscErrorCode PEPComputeResidualNorm_Private(PEP,PetscScalar,PetscScalar,Vec,Vec,Vec*,PetscReal*);
PETSC_INTERN PetscErrorCode PEPKrylovConvergence(PEP,PetscBool,PetscInt,PetscInt,PetscReal,PetscInt*);
PETSC_INTERN PetscErrorCode PEPComputeScaleFactor(PEP);
PETSC_INTERN PetscErrorCode PEPBuildDiagonalScaling(PEP);
PETSC_INTERN PetscErrorCode PEPBasisCoefficients(PEP,PetscReal*);
PETSC_INTERN PetscErrorCode PEPEvaluateBasis(PEP,PetscScalar,PetscScalar,PetscScalar*,PetscScalar*);
PETSC_INTERN PetscErrorCode PEPNewtonRefinement_TOAR(PEP,PetscScalar,PetscInt*,PetscReal*,PetscInt,PetscScalar*,PetscInt,PetscInt*);
PETSC_INTERN PetscErrorCode PEPNewtonRefinementSimple(PEP,PetscInt*,PetscReal,PetscInt);
#endif
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