/usr/lib/slepcdir/3.6.1/x86_64-linux-gnu-real-debug/include/slepc/private/nepimpl.h is in libslepc3.6.1-dbg 3.6.1.dfsg1-2build2.
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SLEPc - Scalable Library for Eigenvalue Problem Computations
Copyright (c) 2002-2015, 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(_NEPIMPL)
#define _NEPIMPL
#include <slepcnep.h>
#include <slepc/private/slepcimpl.h>
PETSC_EXTERN PetscBool NEPRegisterAllCalled;
PETSC_EXTERN PetscErrorCode NEPRegisterAll(void);
PETSC_EXTERN PetscLogEvent NEP_SetUp,NEP_Solve,NEP_Refine,NEP_FunctionEval,NEP_JacobianEval;
typedef struct _NEPOps *NEPOps;
struct _NEPOps {
PetscErrorCode (*solve)(NEP);
PetscErrorCode (*setup)(NEP);
PetscErrorCode (*setfromoptions)(PetscOptions*,NEP);
PetscErrorCode (*publishoptions)(NEP);
PetscErrorCode (*destroy)(NEP);
PetscErrorCode (*reset)(NEP);
PetscErrorCode (*view)(NEP,PetscViewer);
PetscErrorCode (*computevectors)(NEP);
};
/*
Maximum number of monitors you can run with a single NEP
*/
#define MAXNEPMONITORS 5
typedef enum { NEP_STATE_INITIAL,
NEP_STATE_SETUP,
NEP_STATE_SOLVED,
NEP_STATE_EIGENVECTORS } NEPStateType;
/*
Defines the NEP data structure.
*/
struct _p_NEP {
PETSCHEADER(struct _NEPOps);
/*------------------------- User parameters ---------------------------*/
PetscInt max_it; /* maximum number of iterations */
PetscInt max_funcs; /* maximum number of function evaluations */
PetscInt nev; /* number of eigenvalues to compute */
PetscInt ncv; /* number of basis vectors */
PetscInt mpd; /* maximum dimension of projected problem */
PetscInt lag; /* interval to rebuild preconditioner */
PetscInt nini; /* number of initial vectors (negative means not copied yet) */
PetscScalar target; /* target value */
PetscReal abstol,rtol,stol; /* user tolerances */
PetscReal ktol; /* tolerance for linear solver */
PetscBool cctol; /* constant correction tolerance */
PetscReal ttol; /* tolerance used in the convergence criterion */
NEPWhich which; /* which part of the spectrum to be sought */
NEPRefine refine; /* type of refinement to be applied after solve */
PetscInt npart; /* number of partitions of the communicator */
PetscReal reftol; /* tolerance for refinement */
PetscInt rits; /* number of iterations of the refinement method */
PetscBool trackall; /* whether all the residuals must be computed */
/*-------------- User-provided functions and contexts -----------------*/
PetscErrorCode (*computefunction)(NEP,PetscScalar,Mat,Mat,void*);
PetscErrorCode (*computejacobian)(NEP,PetscScalar,Mat,void*);
void *functionctx;
void *jacobianctx;
PetscErrorCode (*converged)(NEP,PetscInt,PetscReal,PetscReal,PetscReal,NEPConvergedReason*,void*);
PetscErrorCode (*convergeddestroy)(void*);
void *convergedctx;
PetscErrorCode (*monitor[MAXNEPMONITORS])(NEP,PetscInt,PetscInt,PetscScalar*,PetscReal*,PetscInt,void*);
PetscErrorCode (*monitordestroy[MAXNEPMONITORS])(void**);
void *monitorcontext[MAXNEPMONITORS];
PetscInt numbermonitors;
/*----------------- Child objects and working data -------------------*/
DS ds; /* direct solver object */
BV V; /* set of basis vectors and computed eigenvectors */
RG rg; /* optional region for filtering */
PetscRandom rand; /* random number generator */
SlepcSC sc; /* sorting criterion data */
KSP ksp; /* linear solver object */
Mat function; /* function matrix */
Mat function_pre; /* function matrix (preconditioner) */
Mat jacobian; /* Jacobian matrix */
Mat *A; /* matrix coefficients of split form */
FN *f; /* matrix functions of split form */
PetscInt nt; /* number of terms in split form */
MatStructure mstr; /* pattern of split matrices */
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 */
PetscInt nwork; /* number of work vectors */
Vec *work; /* work vectors */
void *data; /* placeholder for solver-specific stuff */
/* ----------------------- Status variables --------------------------*/
NEPStateType 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) */
PetscInt nfuncs; /* number of function evaluations */
PetscBool split; /* the nonlinear operator has been set in
split form, otherwise user callbacks are used */
NEPConvergedReason reason;
};
/*
Macros to test valid NEP arguments
*/
#if !defined(PETSC_USE_DEBUG)
#define NEPCheckSolved(h,arg) do {} while (0)
#else
#define NEPCheckSolved(h,arg) \
do { \
if (h->state<NEP_STATE_SOLVED) SETERRQ1(PetscObjectComm((PetscObject)h),PETSC_ERR_ARG_WRONGSTATE,"Must call NEPSolve() first: Parameter #%d",arg); \
} while (0)
#endif
#undef __FUNCT__
#define __FUNCT__ "NEP_KSPSolve"
PETSC_STATIC_INLINE PetscErrorCode NEP_KSPSolve(NEP nep,Vec b,Vec x)
{
PetscErrorCode ierr;
PetscInt lits;
PetscFunctionBegin;
ierr = KSPSolve(nep->ksp,b,x);CHKERRQ(ierr);
ierr = KSPGetIterationNumber(nep->ksp,&lits);CHKERRQ(ierr);
ierr = PetscInfo2(nep,"iter=%D, linear solve iterations=%D\n",nep->its,lits);CHKERRQ(ierr);
PetscFunctionReturn(0);
}
PETSC_INTERN PetscErrorCode NEPComputeVectors(NEP);
PETSC_INTERN PetscErrorCode NEPGetDefaultShift(NEP,PetscScalar*);
PETSC_INTERN PetscErrorCode NEPComputeResidualNorm_Private(NEP,PetscScalar,Vec,Vec*,PetscReal*);
PETSC_INTERN PetscErrorCode NEPNewtonRefinementSimple(NEP,PetscInt*,PetscReal*,PetscInt);
#endif
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