File: //proc/thread-self/root/usr/include/suitesparse/klu.h
/* ========================================================================== */
/* === klu include file ===================================================== */
/* ========================================================================== */
/* Include file for user programs that call klu_* routines */
#ifndef _KLU_H
#define _KLU_H
/* make it easy for C++ programs to include KLU */
#ifdef __cplusplus
extern "C" {
#endif
#include "amd.h"
#include "colamd.h"
#include "btf.h"
/* -------------------------------------------------------------------------- */
/* Symbolic object - contains the pre-ordering computed by klu_analyze */
/* -------------------------------------------------------------------------- */
typedef struct
{
/* A (P,Q) is in upper block triangular form. The kth block goes from
* row/col index R [k] to R [k+1]-1. The estimated number of nonzeros
* in the L factor of the kth block is Lnz [k].
*/
/* only computed if the AMD ordering is chosen: */
double symmetry ; /* symmetry of largest block */
double est_flops ; /* est. factorization flop count */
double lnz, unz ; /* estimated nz in L and U, including diagonals */
double *Lnz ; /* size n, but only Lnz [0..nblocks-1] is used */
/* computed for all orderings: */
int
n, /* input matrix A is n-by-n */
nz, /* # entries in input matrix */
*P, /* size n */
*Q, /* size n */
*R, /* size n+1, but only R [0..nblocks] is used */
nzoff, /* nz in off-diagonal blocks */
nblocks, /* number of blocks */
maxblock, /* size of largest block */
ordering, /* ordering used (AMD, COLAMD, or GIVEN) */
do_btf ; /* whether or not BTF preordering was requested */
/* only computed if BTF preordering requested */
int structural_rank ; /* 0 to n-1 if the matrix is structurally rank
* deficient. -1 if not computed. n if the matrix has
* full structural rank */
} klu_symbolic ;
typedef struct /* 64-bit version (otherwise same as above) */
{
double symmetry, est_flops, lnz, unz ;
double *Lnz ;
SuiteSparse_long n, nz, *P, *Q, *R, nzoff, nblocks, maxblock, ordering,
do_btf, structural_rank ;
} klu_l_symbolic ;
/* -------------------------------------------------------------------------- */
/* Numeric object - contains the factors computed by klu_factor */
/* -------------------------------------------------------------------------- */
typedef struct
{
/* LU factors of each block, the pivot row permutation, and the
* entries in the off-diagonal blocks */
int n ; /* A is n-by-n */
int nblocks ; /* number of diagonal blocks */
int lnz ; /* actual nz in L, including diagonal */
int unz ; /* actual nz in U, including diagonal */
int max_lnz_block ; /* max actual nz in L in any one block, incl. diag */
int max_unz_block ; /* max actual nz in U in any one block, incl. diag */
int *Pnum ; /* size n. final pivot permutation */
int *Pinv ; /* size n. inverse of final pivot permutation */
/* LU factors of each block */
int *Lip ; /* size n. pointers into LUbx[block] for L */
int *Uip ; /* size n. pointers into LUbx[block] for U */
int *Llen ; /* size n. Llen [k] = # of entries in kth column of L */
int *Ulen ; /* size n. Ulen [k] = # of entries in kth column of U */
void **LUbx ; /* L and U indices and entries (excl. diagonal of U) */
size_t *LUsize ; /* size of each LUbx [block], in sizeof (Unit) */
void *Udiag ; /* diagonal of U */
/* scale factors; can be NULL if no scaling */
double *Rs ; /* size n. Rs [i] is scale factor for row i */
/* permanent workspace for factorization and solve */
size_t worksize ; /* size (in bytes) of Work */
void *Work ; /* workspace */
void *Xwork ; /* alias into Numeric->Work */
int *Iwork ; /* alias into Numeric->Work */
/* off-diagonal entries in a conventional compressed-column sparse matrix */
int *Offp ; /* size n+1, column pointers */
int *Offi ; /* size nzoff, row indices */
void *Offx ; /* size nzoff, numerical values */
int nzoff ;
} klu_numeric ;
typedef struct /* 64-bit version (otherwise same as above) */
{
SuiteSparse_long n, nblocks, lnz, unz, max_lnz_block, max_unz_block, *Pnum,
*Pinv, *Lip, *Uip, *Llen, *Ulen ;
void **LUbx ;
size_t *LUsize ;
void *Udiag ;
double *Rs ;
size_t worksize ;
void *Work, *Xwork ;
SuiteSparse_long *Iwork ;
SuiteSparse_long *Offp, *Offi ;
void *Offx ;
SuiteSparse_long nzoff ;
} klu_l_numeric ;
/* -------------------------------------------------------------------------- */
/* KLU control parameters and statistics */
/* -------------------------------------------------------------------------- */
/* Common->status values */
#define KLU_OK 0
#define KLU_SINGULAR (1) /* status > 0 is a warning, not an error */
#define KLU_OUT_OF_MEMORY (-2)
#define KLU_INVALID (-3)
#define KLU_TOO_LARGE (-4) /* integer overflow has occured */
typedef struct klu_common_struct
{
/* ---------------------------------------------------------------------- */
/* parameters */
/* ---------------------------------------------------------------------- */
double tol ; /* pivot tolerance for diagonal preference */
double memgrow ; /* realloc memory growth size for LU factors */
double initmem_amd ; /* init. memory size with AMD: c*nnz(L) + n */
double initmem ; /* init. memory size: c*nnz(A) + n */
double maxwork ; /* maxwork for BTF, <= 0 if no limit */
int btf ; /* use BTF pre-ordering, or not */
int ordering ; /* 0: AMD, 1: COLAMD, 2: user P and Q,
* 3: user function */
int scale ; /* row scaling: -1: none (and no error check),
* 0: none, 1: sum, 2: max */
/* pointer to user ordering function */
int (*user_order) (int, int *, int *, int *, struct klu_common_struct *) ;
/* pointer to user data, passed unchanged as the last parameter to the
* user ordering function (optional, the user function need not use this
* information). */
void *user_data ;
int halt_if_singular ; /* how to handle a singular matrix:
* FALSE: keep going. Return a Numeric object with a zero U(k,k). A
* divide-by-zero may occur when computing L(:,k). The Numeric object
* can be passed to klu_solve (a divide-by-zero will occur). It can
* also be safely passed to klu_refactor.
* TRUE: stop quickly. klu_factor will free the partially-constructed
* Numeric object. klu_refactor will not free it, but will leave the
* numerical values only partially defined. This is the default. */
/* ---------------------------------------------------------------------- */
/* statistics */
/* ---------------------------------------------------------------------- */
int status ; /* KLU_OK if OK, < 0 if error */
int nrealloc ; /* # of reallocations of L and U */
int structural_rank ; /* 0 to n-1 if the matrix is structurally rank
* deficient (as determined by maxtrans). -1 if not computed. n if the
* matrix has full structural rank. This is computed by klu_analyze
* if a BTF preordering is requested. */
int numerical_rank ; /* First k for which a zero U(k,k) was found,
* if the matrix was singular (in the range 0 to n-1). n if the matrix
* has full rank. This is not a true rank-estimation. It just reports
* where the first zero pivot was found. -1 if not computed.
* Computed by klu_factor and klu_refactor. */
int singular_col ; /* n if the matrix is not singular. If in the
* range 0 to n-1, this is the column index of the original matrix A that
* corresponds to the column of U that contains a zero diagonal entry.
* -1 if not computed. Computed by klu_factor and klu_refactor. */
int noffdiag ; /* # of off-diagonal pivots, -1 if not computed */
double flops ; /* actual factorization flop count, from klu_flops */
double rcond ; /* crude reciprocal condition est., from klu_rcond */
double condest ; /* accurate condition est., from klu_condest */
double rgrowth ; /* reciprocal pivot rgrowth, from klu_rgrowth */
double work ; /* actual work done in BTF, in klu_analyze */
size_t memusage ; /* current memory usage, in bytes */
size_t mempeak ; /* peak memory usage, in bytes */
} klu_common ;
typedef struct klu_l_common_struct /* 64-bit version (otherwise same as above)*/
{
double tol, memgrow, initmem_amd, initmem, maxwork ;
SuiteSparse_long btf, ordering, scale ;
SuiteSparse_long (*user_order) (SuiteSparse_long, SuiteSparse_long *,
SuiteSparse_long *, SuiteSparse_long *,
struct klu_l_common_struct *) ;
void *user_data ;
SuiteSparse_long halt_if_singular ;
SuiteSparse_long status, nrealloc, structural_rank, numerical_rank,
singular_col, noffdiag ;
double flops, rcond, condest, rgrowth, work ;
size_t memusage, mempeak ;
} klu_l_common ;
/* -------------------------------------------------------------------------- */
/* klu_defaults: sets default control parameters */
/* -------------------------------------------------------------------------- */
int klu_defaults
(
klu_common *Common
) ;
SuiteSparse_long klu_l_defaults (klu_l_common *Common) ;
/* -------------------------------------------------------------------------- */
/* klu_analyze: orders and analyzes a matrix */
/* -------------------------------------------------------------------------- */
/* Order the matrix with BTF (or not), then order each block with AMD, COLAMD,
* a natural ordering, or with a user-provided ordering function */
klu_symbolic *klu_analyze
(
/* inputs, not modified */
int n, /* A is n-by-n */
int Ap [ ], /* size n+1, column pointers */
int Ai [ ], /* size nz, row indices */
klu_common *Common
) ;
klu_l_symbolic *klu_l_analyze (SuiteSparse_long, SuiteSparse_long *,
SuiteSparse_long *, klu_l_common *Common) ;
/* -------------------------------------------------------------------------- */
/* klu_analyze_given: analyzes a matrix using given P and Q */
/* -------------------------------------------------------------------------- */
/* Order the matrix with BTF (or not), then use natural or given ordering
* P and Q on the blocks. P and Q are interpretted as identity
* if NULL. */
klu_symbolic *klu_analyze_given
(
/* inputs, not modified */
int n, /* A is n-by-n */
int Ap [ ], /* size n+1, column pointers */
int Ai [ ], /* size nz, row indices */
int P [ ], /* size n, user's row permutation (may be NULL) */
int Q [ ], /* size n, user's column permutation (may be NULL) */
klu_common *Common
) ;
klu_l_symbolic *klu_l_analyze_given (SuiteSparse_long, SuiteSparse_long *,
SuiteSparse_long *, SuiteSparse_long *, SuiteSparse_long *,
klu_l_common *) ;
/* -------------------------------------------------------------------------- */
/* klu_factor: factors a matrix using the klu_analyze results */
/* -------------------------------------------------------------------------- */
klu_numeric *klu_factor /* returns KLU_OK if OK, < 0 if error */
(
/* inputs, not modified */
int Ap [ ], /* size n+1, column pointers */
int Ai [ ], /* size nz, row indices */
double Ax [ ], /* size nz, numerical values */
klu_symbolic *Symbolic,
klu_common *Common
) ;
klu_numeric *klu_z_factor /* returns KLU_OK if OK, < 0 if error */
(
/* inputs, not modified */
int Ap [ ], /* size n+1, column pointers */
int Ai [ ], /* size nz, row indices */
double Ax [ ], /* size 2*nz, numerical values (real,imag pairs) */
klu_symbolic *Symbolic,
klu_common *Common
) ;
/* long / real version */
klu_l_numeric *klu_l_factor (SuiteSparse_long *, SuiteSparse_long *, double *,
klu_l_symbolic *, klu_l_common *) ;
/* long / complex version */
klu_l_numeric *klu_zl_factor (SuiteSparse_long *, SuiteSparse_long *, double *,
klu_l_symbolic *, klu_l_common *) ;
/* -------------------------------------------------------------------------- */
/* klu_solve: solves Ax=b using the Symbolic and Numeric objects */
/* -------------------------------------------------------------------------- */
int klu_solve
(
/* inputs, not modified */
klu_symbolic *Symbolic,
klu_numeric *Numeric,
int ldim, /* leading dimension of B */
int nrhs, /* number of right-hand-sides */
/* right-hand-side on input, overwritten with solution to Ax=b on output */
double B [ ], /* size ldim*nrhs */
klu_common *Common
) ;
int klu_z_solve
(
/* inputs, not modified */
klu_symbolic *Symbolic,
klu_numeric *Numeric,
int ldim, /* leading dimension of B */
int nrhs, /* number of right-hand-sides */
/* right-hand-side on input, overwritten with solution to Ax=b on output */
double B [ ], /* size 2*ldim*nrhs */
klu_common *Common
) ;
SuiteSparse_long klu_l_solve (klu_l_symbolic *, klu_l_numeric *,
SuiteSparse_long, SuiteSparse_long, double *, klu_l_common *) ;
SuiteSparse_long klu_zl_solve (klu_l_symbolic *, klu_l_numeric *,
SuiteSparse_long, SuiteSparse_long, double *, klu_l_common *) ;
/* -------------------------------------------------------------------------- */
/* klu_tsolve: solves A'x=b using the Symbolic and Numeric objects */
/* -------------------------------------------------------------------------- */
int klu_tsolve
(
/* inputs, not modified */
klu_symbolic *Symbolic,
klu_numeric *Numeric,
int ldim, /* leading dimension of B */
int nrhs, /* number of right-hand-sides */
/* right-hand-side on input, overwritten with solution to Ax=b on output */
double B [ ], /* size ldim*nrhs */
klu_common *Common
) ;
int klu_z_tsolve
(
/* inputs, not modified */
klu_symbolic *Symbolic,
klu_numeric *Numeric,
int ldim, /* leading dimension of B */
int nrhs, /* number of right-hand-sides */
/* right-hand-side on input, overwritten with solution to Ax=b on output */
double B [ ], /* size 2*ldim*nrhs */
int conj_solve, /* TRUE: conjugate solve, FALSE: solve A.'x=b */
klu_common *Common
) ;
SuiteSparse_long klu_l_tsolve (klu_l_symbolic *, klu_l_numeric *,
SuiteSparse_long, SuiteSparse_long, double *, klu_l_common *) ;
SuiteSparse_long klu_zl_tsolve (klu_l_symbolic *, klu_l_numeric *,
SuiteSparse_long, SuiteSparse_long, double *, SuiteSparse_long,
klu_l_common * ) ;
/* -------------------------------------------------------------------------- */
/* klu_refactor: refactorizes matrix with same ordering as klu_factor */
/* -------------------------------------------------------------------------- */
int klu_refactor /* return TRUE if successful, FALSE otherwise */
(
/* inputs, not modified */
int Ap [ ], /* size n+1, column pointers */
int Ai [ ], /* size nz, row indices */
double Ax [ ], /* size nz, numerical values */
klu_symbolic *Symbolic,
/* input, and numerical values modified on output */
klu_numeric *Numeric,
klu_common *Common
) ;
int klu_z_refactor /* return TRUE if successful, FALSE otherwise */
(
/* inputs, not modified */
int Ap [ ], /* size n+1, column pointers */
int Ai [ ], /* size nz, row indices */
double Ax [ ], /* size 2*nz, numerical values */
klu_symbolic *Symbolic,
/* input, and numerical values modified on output */
klu_numeric *Numeric,
klu_common *Common
) ;
SuiteSparse_long klu_l_refactor (SuiteSparse_long *, SuiteSparse_long *,
double *, klu_l_symbolic *, klu_l_numeric *, klu_l_common *) ;
SuiteSparse_long klu_zl_refactor (SuiteSparse_long *, SuiteSparse_long *,
double *, klu_l_symbolic *, klu_l_numeric *, klu_l_common *) ;
/* -------------------------------------------------------------------------- */
/* klu_free_symbolic: destroys the Symbolic object */
/* -------------------------------------------------------------------------- */
int klu_free_symbolic
(
klu_symbolic **Symbolic,
klu_common *Common
) ;
SuiteSparse_long klu_l_free_symbolic (klu_l_symbolic **, klu_l_common *) ;
/* -------------------------------------------------------------------------- */
/* klu_free_numeric: destroys the Numeric object */
/* -------------------------------------------------------------------------- */
/* Note that klu_free_numeric and klu_z_free_numeric are identical; each can
* free both kinds of Numeric objects (real and complex) */
int klu_free_numeric
(
klu_numeric **Numeric,
klu_common *Common
) ;
int klu_z_free_numeric
(
klu_numeric **Numeric,
klu_common *Common
) ;
SuiteSparse_long klu_l_free_numeric (klu_l_numeric **, klu_l_common *) ;
SuiteSparse_long klu_zl_free_numeric (klu_l_numeric **, klu_l_common *) ;
/* -------------------------------------------------------------------------- */
/* klu_sort: sorts the columns of the LU factorization */
/* -------------------------------------------------------------------------- */
/* this is not needed except for the MATLAB interface */
int klu_sort
(
/* inputs, not modified */
klu_symbolic *Symbolic,
/* input/output */
klu_numeric *Numeric,
klu_common *Common
) ;
int klu_z_sort
(
/* inputs, not modified */
klu_symbolic *Symbolic,
/* input/output */
klu_numeric *Numeric,
klu_common *Common
) ;
SuiteSparse_long klu_l_sort (klu_l_symbolic *, klu_l_numeric *,
klu_l_common *) ;
SuiteSparse_long klu_zl_sort (klu_l_symbolic *, klu_l_numeric *,
klu_l_common *) ;
/* -------------------------------------------------------------------------- */
/* klu_flops: determines # of flops performed in numeric factorzation */
/* -------------------------------------------------------------------------- */
int klu_flops
(
/* inputs, not modified */
klu_symbolic *Symbolic,
klu_numeric *Numeric,
/* input/output */
klu_common *Common
) ;
int klu_z_flops
(
/* inputs, not modified */
klu_symbolic *Symbolic,
klu_numeric *Numeric,
/* input/output */
klu_common *Common
) ;
SuiteSparse_long klu_l_flops (klu_l_symbolic *, klu_l_numeric *,
klu_l_common *) ;
SuiteSparse_long klu_zl_flops (klu_l_symbolic *, klu_l_numeric *,
klu_l_common *) ;
/* -------------------------------------------------------------------------- */
/* klu_rgrowth : compute the reciprocal pivot growth */
/* -------------------------------------------------------------------------- */
/* Pivot growth is computed after the input matrix is permuted, scaled, and
* off-diagonal entries pruned. This is because the LU factorization of each
* block takes as input the scaled diagonal blocks of the BTF form. The
* reciprocal pivot growth in column j of an LU factorization of a matrix C
* is the largest entry in C divided by the largest entry in U; then the overall
* reciprocal pivot growth is the smallest such value for all columns j. Note
* that the off-diagonal entries are not scaled, since they do not take part in
* the LU factorization of the diagonal blocks.
*
* In MATLAB notation:
*
* rgrowth = min (max (abs ((R \ A(p,q)) - F)) ./ max (abs (U))) */
int klu_rgrowth
(
int Ap [ ],
int Ai [ ],
double Ax [ ],
klu_symbolic *Symbolic,
klu_numeric *Numeric,
klu_common *Common /* Common->rgrowth = reciprocal pivot growth */
) ;
int klu_z_rgrowth
(
int Ap [ ],
int Ai [ ],
double Ax [ ],
klu_symbolic *Symbolic,
klu_numeric *Numeric,
klu_common *Common /* Common->rgrowth = reciprocal pivot growth */
) ;
SuiteSparse_long klu_l_rgrowth (SuiteSparse_long *, SuiteSparse_long *,
double *, klu_l_symbolic *, klu_l_numeric *, klu_l_common *) ;
SuiteSparse_long klu_zl_rgrowth (SuiteSparse_long *, SuiteSparse_long *,
double *, klu_l_symbolic *, klu_l_numeric *, klu_l_common *) ;
/* -------------------------------------------------------------------------- */
/* klu_condest */
/* -------------------------------------------------------------------------- */
/* Computes a reasonably accurate estimate of the 1-norm condition number, using
* Hager's method, as modified by Higham and Tisseur (same method as used in
* MATLAB's condest */
int klu_condest
(
int Ap [ ], /* size n+1, column pointers, not modified */
double Ax [ ], /* size nz = Ap[n], numerical values, not modified*/
klu_symbolic *Symbolic, /* symbolic analysis, not modified */
klu_numeric *Numeric, /* numeric factorization, not modified */
klu_common *Common /* result returned in Common->condest */
) ;
int klu_z_condest
(
int Ap [ ],
double Ax [ ], /* size 2*nz */
klu_symbolic *Symbolic,
klu_numeric *Numeric,
klu_common *Common /* result returned in Common->condest */
) ;
SuiteSparse_long klu_l_condest (SuiteSparse_long *, double *, klu_l_symbolic *,
klu_l_numeric *, klu_l_common *) ;
SuiteSparse_long klu_zl_condest (SuiteSparse_long *, double *, klu_l_symbolic *,
klu_l_numeric *, klu_l_common *) ;
/* -------------------------------------------------------------------------- */
/* klu_rcond: compute min(abs(diag(U))) / max(abs(diag(U))) */
/* -------------------------------------------------------------------------- */
int klu_rcond
(
klu_symbolic *Symbolic, /* input, not modified */
klu_numeric *Numeric, /* input, not modified */
klu_common *Common /* result in Common->rcond */
) ;
int klu_z_rcond
(
klu_symbolic *Symbolic, /* input, not modified */
klu_numeric *Numeric, /* input, not modified */
klu_common *Common /* result in Common->rcond */
) ;
SuiteSparse_long klu_l_rcond (klu_l_symbolic *, klu_l_numeric *,
klu_l_common *) ;
SuiteSparse_long klu_zl_rcond (klu_l_symbolic *, klu_l_numeric *,
klu_l_common *) ;
/* -------------------------------------------------------------------------- */
/* klu_scale */
/* -------------------------------------------------------------------------- */
int klu_scale /* return TRUE if successful, FALSE otherwise */
(
/* inputs, not modified */
int scale, /* <0: none, no error check; 0: none, 1: sum, 2: max */
int n,
int Ap [ ], /* size n+1, column pointers */
int Ai [ ], /* size nz, row indices */
double Ax [ ],
/* outputs, not defined on input */
double Rs [ ],
/* workspace, not defined on input or output */
int W [ ], /* size n, can be NULL */
klu_common *Common
) ;
int klu_z_scale /* return TRUE if successful, FALSE otherwise */
(
/* inputs, not modified */
int scale, /* <0: none, no error check; 0: none, 1: sum, 2: max */
int n,
int Ap [ ], /* size n+1, column pointers */
int Ai [ ], /* size nz, row indices */
double Ax [ ],
/* outputs, not defined on input */
double Rs [ ],
/* workspace, not defined on input or output */
int W [ ], /* size n, can be NULL */
klu_common *Common
) ;
SuiteSparse_long klu_l_scale (SuiteSparse_long, SuiteSparse_long,
SuiteSparse_long *, SuiteSparse_long *, double *,
double *, SuiteSparse_long *, klu_l_common *) ;
SuiteSparse_long klu_zl_scale (SuiteSparse_long, SuiteSparse_long,
SuiteSparse_long *, SuiteSparse_long *, double *,
double *, SuiteSparse_long *, klu_l_common *) ;
/* -------------------------------------------------------------------------- */
/* klu_extract */
/* -------------------------------------------------------------------------- */
int klu_extract /* returns TRUE if successful, FALSE otherwise */
(
/* inputs: */
klu_numeric *Numeric,
klu_symbolic *Symbolic,
/* outputs, either allocated on input, or ignored otherwise */
/* L */
int *Lp, /* size n+1 */
int *Li, /* size Numeric->lnz */
double *Lx, /* size Numeric->lnz */
/* U */
int *Up, /* size n+1 */
int *Ui, /* size Numeric->unz */
double *Ux, /* size Numeric->unz */
/* F */
int *Fp, /* size n+1 */
int *Fi, /* size Numeric->nzoff */
double *Fx, /* size Numeric->nzoff */
/* P, row permutation */
int *P, /* size n */
/* Q, column permutation */
int *Q, /* size n */
/* Rs, scale factors */
double *Rs, /* size n */
/* R, block boundaries */
int *R, /* size Symbolic->nblocks+1 (nblocks is at most n) */
klu_common *Common
) ;
int klu_z_extract /* returns TRUE if successful, FALSE otherwise */
(
/* inputs: */
klu_numeric *Numeric,
klu_symbolic *Symbolic,
/* outputs, all of which must be allocated on input */
/* L */
int *Lp, /* size n+1 */
int *Li, /* size nnz(L) */
double *Lx, /* size nnz(L) */
double *Lz, /* size nnz(L) for the complex case, ignored if real */
/* U */
int *Up, /* size n+1 */
int *Ui, /* size nnz(U) */
double *Ux, /* size nnz(U) */
double *Uz, /* size nnz(U) for the complex case, ignored if real */
/* F */
int *Fp, /* size n+1 */
int *Fi, /* size nnz(F) */
double *Fx, /* size nnz(F) */
double *Fz, /* size nnz(F) for the complex case, ignored if real */
/* P, row permutation */
int *P, /* size n */
/* Q, column permutation */
int *Q, /* size n */
/* Rs, scale factors */
double *Rs, /* size n */
/* R, block boundaries */
int *R, /* size Symbolic->nblocks+1 (nblocks is at most n) */
klu_common *Common
) ;
SuiteSparse_long klu_l_extract (klu_l_numeric *, klu_l_symbolic *,
SuiteSparse_long *, SuiteSparse_long *, double *,
SuiteSparse_long *, SuiteSparse_long *, double *,
SuiteSparse_long *, SuiteSparse_long *, double *,
SuiteSparse_long *, SuiteSparse_long *, double *,
SuiteSparse_long *, klu_l_common *) ;
SuiteSparse_long klu_zl_extract (klu_l_numeric *, klu_l_symbolic *,
SuiteSparse_long *, SuiteSparse_long *, double *, double *,
SuiteSparse_long *, SuiteSparse_long *, double *, double *,
SuiteSparse_long *, SuiteSparse_long *, double *, double *,
SuiteSparse_long *, SuiteSparse_long *, double *,
SuiteSparse_long *, klu_l_common *) ;
/* -------------------------------------------------------------------------- */
/* KLU memory management routines */
/* -------------------------------------------------------------------------- */
void *klu_malloc /* returns pointer to the newly malloc'd block */
(
/* ---- input ---- */
size_t n, /* number of items */
size_t size, /* size of each item */
/* --------------- */
klu_common *Common
) ;
void *klu_free /* always returns NULL */
(
/* ---- in/out --- */
void *p, /* block of memory to free */
size_t n, /* number of items */
size_t size, /* size of each item */
/* --------------- */
klu_common *Common
) ;
void *klu_realloc /* returns pointer to reallocated block */
(
/* ---- input ---- */
size_t nnew, /* requested # of items in reallocated block */
size_t nold, /* current size of block, in # of items */
size_t size, /* size of each item */
/* ---- in/out --- */
void *p, /* block of memory to realloc */
/* --------------- */
klu_common *Common
) ;
void *klu_l_malloc (size_t, size_t, klu_l_common *) ;
void *klu_l_free (void *, size_t, size_t, klu_l_common *) ;
void *klu_l_realloc (size_t, size_t, size_t, void *, klu_l_common *) ;
/* ========================================================================== */
/* === KLU version ========================================================== */
/* ========================================================================== */
/* All versions of KLU include these definitions.
* As an example, to test if the version you are using is 1.2 or later:
*
* if (KLU_VERSION >= KLU_VERSION_CODE (1,2)) ...
*
* This also works during compile-time:
*
* #if (KLU >= KLU_VERSION_CODE (1,2))
* printf ("This is version 1.2 or later\n") ;
* #else
* printf ("This is an early version\n") ;
* #endif
*/
#define KLU_DATE "June 3, 2015"
#define KLU_VERSION_CODE(main,sub) ((main) * 1000 + (sub))
#define KLU_MAIN_VERSION 1
#define KLU_SUB_VERSION 3
#define KLU_SUBSUB_VERSION 3
#define KLU_VERSION KLU_VERSION_CODE(KLU_MAIN_VERSION,KLU_SUB_VERSION)
#ifdef __cplusplus
}
#endif
#endif