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// dense_Jacobian.cc -- dense-matrix Jacobian
// $Header$
//
// <<<literal contents of "lapack.hh">>>
//
#ifdef HAVE_DENSE_JACOBIAN
// dense_Jacobian::dense_Jacobian
// dense_Jacobian::zero_matrix
#endif
//
#ifdef HAVE_DENSE_JACOBIAN__LAPACK
// dense_Jacobian__LAPACK::dense_Jacobian__LAPACK
// dense_Jacobian__LAPACK::~dense_Jacobian__LAPACK
// dense_Jacobian__LAPACK::solve_linear_system
#endif
//
#include <stdio.h>
#include <assert.h>
#include <math.h>
#include <string.h>
#include "util_Table.h"
#include "cctk.h"
#include "config.h"
#include "stdc.h"
#include "../jtutil/util.hh"
#include "../jtutil/array.hh"
#include "../jtutil/cpm_map.hh"
#include "../jtutil/linear_map.hh"
#include "../patch/coords.hh"
#include "../patch/grid.hh"
#include "../patch/fd_grid.hh"
#include "../patch/patch.hh"
#include "../patch/patch_edge.hh"
#include "../patch/patch_interp.hh"
#include "../patch/ghost_zone.hh"
#include "../patch/patch_system.hh"
#include "Jacobian.hh"
#include "dense_Jacobian.hh"
// all the code in this file is inside this namespace
namespace AHFinderDirect
{
using jtutil::error_exit;
//******************************************************************************
//******************************************************************************
//******************************************************************************
//
// FIXME:
// Cactus's CCTK_FCALL() isn't expanded in .h files (this is a bug),
// so we include the contents of "lapack.h" inline here. This is a
// kludge! :( :(
//#include "lapack.h"
//
//***** begin "lapack.h" contents ******
/* lapack.h -- C/C++ prototypes for (some) BLAS+LAPACK+wrapper routines */
/* $Header$ */
/*
* prerequisites:
* "cctk.h"
* "config.h" // for "integer" = Fortran integer
*/
#ifdef __cplusplus
extern "C"
{
#endif
/*
* ***** BLAS *****
*/
integer CCTK_FCALL
CCTK_FNAME(isamax)(const integer* N, const float SX[], const integer* incx);
integer CCTK_FCALL
CCTK_FNAME(idamax)(const integer* N, const double DX[], const integer* incx);
/*
* ***** LAPACK *****
*/
void CCTK_FCALL
CCTK_FNAME(sgesv)(const integer* N, const integer* NRHS,
float A[], const int* LDA,
integer IPIV[],
float B[], const integer* LDB, integer* info);
void CCTK_FCALL
CCTK_FNAME(dgesv)(const integer* N, const integer* NRHS,
double A[], const int* LDA,
integer IPIV[],
double B[], const integer* LDB, integer* info);
/*
* ***** wrappers (for passing character-string args) *****
*/
/* norm_int = 0 for infinity-norm, 1 for 1-norm */
void CCTK_FCALL
CCTK_FNAME(sgecon_wrapper)(const integer* norm_int,
const integer* N,
float A[], const integer* LDA,
const float* anorm, float* rcond,
float WORK[], integer IWORK[],
integer* info);
void CCTK_FCALL
CCTK_FNAME(dgecon_wrapper)(const integer* norm_int,
const integer* N,
double A[], const integer* LDA,
const double* anorm, double* rcond,
double WORK[], integer IWORK[],
integer* info);
#ifdef __cplusplus
} /* extern "C" */
#endif
//***** end "lapack.h" contents ********
//******************************************************************************
//******************************************************************************
//******************************************************************************
#ifdef HAVE_DENSE_JACOBIAN
//
// This function constructs a dense_Jacobian object.
//
dense_Jacobian::dense_Jacobian(patch_system& ps,
bool print_msg_flag /* = false */)
: Jacobian(ps),
matrix_(0,N_rows_-1, 0,N_rows_-1)
{
if (print_msg_flag)
then CCTK_VInfo(CCTK_THORNSTRING,
" dense Jacobian matrix (%d rows)",
N_rows_);
}
#endif /* HAVE_DENSE_JACOBIAN */
//******************************************************************************
#ifdef HAVE_DENSE_JACOBIAN
//
// This function zeros a dense_Jacobian object.
// Bugs: it could be made more efficient...
//
void dense_Jacobian::zero_matrix()
{
for (int JJ = 0 ; JJ < N_rows_ ; ++JJ)
{
for (int II = 0 ; II < N_rows_ ; ++II)
{
set_element(II,JJ, 0.0);
}
}
}
#endif /* HAVE_DENSE_JACOBIAN */
//******************************************************************************
//******************************************************************************
//******************************************************************************
#ifdef HAVE_DENSE_JACOBIAN__LAPACK
//
// This function constructs a dense_Jacobian__LAPACK object.
//
dense_Jacobian__LAPACK::dense_Jacobian__LAPACK
(patch_system& ps,
bool print_msg_flag /* = false */)
: dense_Jacobian(ps, print_msg_flag),
pivot_(new integer[ N_rows_]),
iwork_(new integer[ N_rows_]),
rwork_(new fp [4*N_rows_])
{
if (print_msg_flag)
then CCTK_VInfo(CCTK_THORNSTRING,
" LAPACK linear-equations solver");
}
#endif /* HAVE_DENSE_JACOBIAN__LAPACK */
//******************************************************************************
#ifdef HAVE_DENSE_JACOBIAN__LAPACK
//
// This function destroys a dense_Jacobian__LAPACK object.
//
dense_Jacobian__LAPACK::~dense_Jacobian__LAPACK()
{
delete[] rwork_;
delete[] iwork_;
delete[] pivot_;
}
#endif /* HAVE_DENSE_JACOBIAN__LAPACK */
//******************************************************************************
#ifdef HAVE_DENSE_JACOBIAN__LAPACK
//
// This function solves the linear system J.x = rhs, with rhs and x
// being nominal-grid gridfns, using LAPACK LU-decomposition routines.
//
// It returns the (infinity-norm) estimated reciprocal condition number
// of the linear system.
//
fp dense_Jacobian__LAPACK::solve_linear_system
(int rhs_gfn, int x_gfn,
const struct linear_solver_pars& pars,
bool print_msg_flag)
{
const fp *rhs = ps_.gridfn_data(rhs_gfn);
fp *x = ps_.gridfn_data(x_gfn);
fp *A = matrix_.data_array();
const integer infinity_norm_flag = 0;
const integer stride = 1;
const integer NRHS = 1;
const integer N = N_rows_;
const integer N2 = N_rows_ * N_rows_;
// compute the infinity-norm of the matrix A
// ... max_posn = 1-origin index of A[] element with largest absolute value
#if defined(FP_IS_FLOAT)
const integer max_posn = CCTK_FNAME(isamax)(&N2, A, &stride);
#elif defined(FP_IS_DOUBLE)
const integer max_posn = CCTK_FNAME(idamax)(&N2, A, &stride);
#else
#error "don't know fp datatype!"
#endif
const fp A_infnorm = jtutil::abs(A[max_posn-1]);
// LU decompose and solve the linear system
//
// ... [sd]gesv() use an "in out" design, where the same argument
// is used for both rhs and x ==> we must first copy rhs to x
//
for (int II = 0 ; II < N_rows_ ; ++II)
{
x[II] = rhs[II];
}
integer info;
#if defined(FP_IS_FLOAT)
CCTK_FNAME(sgesv)(&N, &NRHS, A, &N, pivot_, x, &N, &info);
#elif defined(FP_IS_DOUBLE)
CCTK_FNAME(dgesv)(&N, &NRHS, A, &N, pivot_, x, &N, &info);
#else
#error "don't know fp datatype!"
#endif
if (info < 0)
then error_exit(ERROR_EXIT,
"\n"
"***** dense_Jacobian__LAPACK::solve_linear_system(rhs_gfn=%d, x_gfn=%d):\n"
" error return (bad argument) info=%d from [sd]gesv() LAPACK routine!"
,
rhs_gfn, x_gfn,
int(info)); /*NOTREACHED*/
if (info > 0)
then return 0.0; // *** ERROR RETURN ***
// *** (singular matrix)
// estimate infinity-norm condition number
fp rcond;
#if defined(FP_IS_FLOAT)
CCTK_FNAME(sgecon_wrapper)(&infinity_norm_flag,
&N, A, &N, &A_infnorm, &rcond,
rwork_, iwork_, &info);
#elif defined(FP_IS_DOUBLE)
CCTK_FNAME(dgecon_wrapper)(&infinity_norm_flag,
&N, A, &N, &A_infnorm, &rcond,
rwork_, iwork_, &info);
#else
#error "don't know fp datatype!"
#endif
return rcond;
}
#endif /* HAVE_DENSE_JACOBIAN__LAPACK */
//******************************************************************************
//******************************************************************************
//******************************************************************************
} // namespace AHFinderDirect
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