/usr/include/suitesparse/cholmod_supernodal.h is in libsuitesparse-dev 1:4.2.1-3.
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/* === Include/cholmod_supernodal.h ========================================= */
/* ========================================================================== */
/* -----------------------------------------------------------------------------
* CHOLMOD/Include/cholmod_supernodal.h.
* Copyright (C) 2005-2006, Timothy A. Davis
* CHOLMOD/Include/cholmod_supernodal.h is licensed under Version 2.0 of the GNU
* General Public License. See gpl.txt for a text of the license.
* CHOLMOD is also available under other licenses; contact authors for details.
* http://www.suitesparse.com
* -------------------------------------------------------------------------- */
/* CHOLMOD Supernodal module.
*
* Supernodal analysis, factorization, and solve. The simplest way to use
* these routines is via the Cholesky module. It does not provide any
* fill-reducing orderings, but does accept the orderings computed by the
* Cholesky module. It does not require the Cholesky module itself, however.
*
* Primary routines:
* -----------------
* cholmod_super_symbolic supernodal symbolic analysis
* cholmod_super_numeric supernodal numeric factorization
* cholmod_super_lsolve supernodal Lx=b solve
* cholmod_super_ltsolve supernodal L'x=b solve
*
* Prototypes for the BLAS and LAPACK routines that CHOLMOD uses are listed
* below, including how they are used in CHOLMOD.
*
* BLAS routines:
* --------------
* dtrsv solve Lx=b or L'x=b, L non-unit diagonal, x and b stride-1
* dtrsm solve LX=B or L'X=b, L non-unit diagonal
* dgemv y=y-A*x or y=y-A'*x (x and y stride-1)
* dgemm C=A*B', C=C-A*B, or C=C-A'*B
* dsyrk C=tril(A*A')
*
* LAPACK routines:
* ----------------
* dpotrf LAPACK: A=chol(tril(A))
*
* Requires the Core module, and two external packages: LAPACK and the BLAS.
* Optionally used by the Cholesky module.
*/
#ifndef CHOLMOD_SUPERNODAL_H
#define CHOLMOD_SUPERNODAL_H
#include "cholmod_core.h"
/* -------------------------------------------------------------------------- */
/* cholmod_super_symbolic */
/* -------------------------------------------------------------------------- */
/* Analyzes A, AA', or A(:,f)*A(:,f)' in preparation for a supernodal numeric
* factorization. The user need not call this directly; cholmod_analyze is
* a "simple" wrapper for this routine.
*/
int cholmod_super_symbolic
(
/* ---- input ---- */
cholmod_sparse *A, /* matrix to analyze */
cholmod_sparse *F, /* F = A' or A(:,f)' */
int *Parent, /* elimination tree */
/* ---- in/out --- */
cholmod_factor *L, /* simplicial symbolic on input,
* supernodal symbolic on output */
/* --------------- */
cholmod_common *Common
) ;
int cholmod_l_super_symbolic (cholmod_sparse *, cholmod_sparse *,
SuiteSparse_long *, cholmod_factor *, cholmod_common *) ;
/* -------------------------------------------------------------------------- */
/* cholmod_super_symbolic2 */
/* -------------------------------------------------------------------------- */
/* Analyze for supernodal Cholesky or multifrontal QR. CHOLMOD itself always
* analyzes for supernodal Cholesky, of course. This "for_cholesky = TRUE"
* option is used by SuiteSparseQR only. Added for V1.7 */
int cholmod_super_symbolic2
(
/* ---- input ---- */
int for_cholesky, /* Cholesky if TRUE, QR if FALSE */
cholmod_sparse *A, /* matrix to analyze */
cholmod_sparse *F, /* F = A' or A(:,f)' */
int *Parent, /* elimination tree */
/* ---- in/out --- */
cholmod_factor *L, /* simplicial symbolic on input,
* supernodal symbolic on output */
/* --------------- */
cholmod_common *Common
) ;
int cholmod_l_super_symbolic2 (int, cholmod_sparse *, cholmod_sparse *,
SuiteSparse_long *, cholmod_factor *, cholmod_common *) ;
/* -------------------------------------------------------------------------- */
/* cholmod_super_numeric */
/* -------------------------------------------------------------------------- */
/* Computes the numeric LL' factorization of A, AA', or A(:,f)*A(:,f)' using
* a BLAS-based supernodal method. The user need not call this directly;
* cholmod_factorize is a "simple" wrapper for this routine.
*/
int cholmod_super_numeric
(
/* ---- input ---- */
cholmod_sparse *A, /* matrix to factorize */
cholmod_sparse *F, /* F = A' or A(:,f)' */
double beta [2], /* beta*I is added to diagonal of matrix to factorize */
/* ---- in/out --- */
cholmod_factor *L, /* factorization */
/* --------------- */
cholmod_common *Common
) ;
int cholmod_l_super_numeric (cholmod_sparse *, cholmod_sparse *, double *,
cholmod_factor *, cholmod_common *) ;
/* -------------------------------------------------------------------------- */
/* cholmod_super_lsolve */
/* -------------------------------------------------------------------------- */
/* Solve Lx=b where L is from a supernodal numeric factorization. The user
* need not call this routine directly. cholmod_solve is a "simple" wrapper
* for this routine. */
int cholmod_super_lsolve
(
/* ---- input ---- */
cholmod_factor *L, /* factor to use for the forward solve */
/* ---- output ---- */
cholmod_dense *X, /* b on input, solution to Lx=b on output */
/* ---- workspace */
cholmod_dense *E, /* workspace of size nrhs*(L->maxesize) */
/* --------------- */
cholmod_common *Common
) ;
int cholmod_l_super_lsolve (cholmod_factor *, cholmod_dense *, cholmod_dense *,
cholmod_common *) ;
/* -------------------------------------------------------------------------- */
/* cholmod_super_ltsolve */
/* -------------------------------------------------------------------------- */
/* Solve L'x=b where L is from a supernodal numeric factorization. The user
* need not call this routine directly. cholmod_solve is a "simple" wrapper
* for this routine. */
int cholmod_super_ltsolve
(
/* ---- input ---- */
cholmod_factor *L, /* factor to use for the backsolve */
/* ---- output ---- */
cholmod_dense *X, /* b on input, solution to L'x=b on output */
/* ---- workspace */
cholmod_dense *E, /* workspace of size nrhs*(L->maxesize) */
/* --------------- */
cholmod_common *Common
) ;
int cholmod_l_super_ltsolve (cholmod_factor *, cholmod_dense *, cholmod_dense *,
cholmod_common *) ;
#endif
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