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Diffstat (limited to 'intern/opennl/superlu/util.h')
-rw-r--r--intern/opennl/superlu/util.h271
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diff --git a/intern/opennl/superlu/util.h b/intern/opennl/superlu/util.h
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-/** \file opennl/superlu/util.h
- * \ingroup opennl
- */
-#ifndef __SUPERLU_UTIL /* allow multiple inclusions */
-#define __SUPERLU_UTIL
-
-#include <stdio.h>
-#include <stdlib.h>
-#include <string.h>
-/*
-#ifndef __STDC__
-#include <malloc.h>
-#endif
-*/
-#include <assert.h>
-
-/***********************************************************************
- * Macros
- ***********************************************************************/
-#define FIRSTCOL_OF_SNODE(i) (xsup[i])
-/* No of marker arrays used in the symbolic factorization,
- each of size n */
-#define NO_MARKER 3
-#define NUM_TEMPV(m,w,t,b) ( SUPERLU_MAX(m, (t + b)*w) )
-
-#ifndef USER_ABORT
-#define USER_ABORT(msg) \
- { fprintf(stderr, "%s", msg); exit (-1); }
-#endif
-
-#define ABORT(err_msg) \
- { char msg[256];\
- sprintf(msg,"%s at line %d in file %s\n",err_msg,__LINE__, __FILE__);\
- USER_ABORT(msg); }
-
-
-#ifndef USER_MALLOC
-#if 1
-#define USER_MALLOC(size) superlu_malloc(size)
-#else
-/* The following may check out some uninitialized data */
-#define USER_MALLOC(size) memset (superlu_malloc(size), '\x0F', size)
-#endif
-#endif
-
-#define SUPERLU_MALLOC(size) USER_MALLOC(size)
-
-#ifndef USER_FREE
-#define USER_FREE(addr) superlu_free(addr)
-#endif
-
-#define SUPERLU_FREE(addr) USER_FREE(addr)
-
-#define CHECK_MALLOC(where) { \
- extern int superlu_malloc_total; \
- printf("%s: malloc_total %d Bytes\n", \
- where, superlu_malloc_total); \
-}
-
-#define SUPERLU_MAX(x, y) ( (x) > (y) ? (x) : (y) )
-#define SUPERLU_MIN(x, y) ( (x) < (y) ? (x) : (y) )
-
-/***********************************************************************
- * Constants
- ***********************************************************************/
-#define EMPTY (-1)
-/*#define NO (-1)*/
-#define FALSE 0
-#define TRUE 1
-
-/***********************************************************************
- * Enumerate types
- ***********************************************************************/
-typedef enum {NO, YES} yes_no_t;
-typedef enum {DOFACT, SamePattern, SamePattern_SameRowPerm, FACTORED} fact_t;
-typedef enum {NOROWPERM, LargeDiag, MY_PERMR} rowperm_t;
-typedef enum {NATURAL, MMD_ATA, MMD_AT_PLUS_A, COLAMD, MY_PERMC}colperm_t;
-typedef enum {NOTRANS, TRANS, CONJ} trans_t;
-typedef enum {NOEQUIL, ROW, COL, BOTH} DiagScale_t;
-typedef enum {NOREFINE, SINGLE=1, SLU_DOUBLE, EXTRA} IterRefine_t;
-typedef enum {LUSUP, UCOL, LSUB, USUB} MemType;
-typedef enum {HEAD, TAIL} stack_end_t;
-typedef enum {SYSTEM, USER} LU_space_t;
-
-/*
- * The following enumerate type is used by the statistics variable
- * to keep track of flop count and time spent at various stages.
- *
- * Note that not all of the fields are disjoint.
- */
-typedef enum {
- COLPERM, /* find a column ordering that minimizes fills */
- RELAX, /* find artificial supernodes */
- ETREE, /* compute column etree */
- EQUIL, /* equilibrate the original matrix */
- FACT, /* perform LU factorization */
- RCOND, /* estimate reciprocal condition number */
- SOLVE, /* forward and back solves */
- REFINE, /* perform iterative refinement */
- SLU_FLOAT, /* time spent in doubleing-point operations */
- TRSV, /* fraction of FACT spent in xTRSV */
- GEMV, /* fraction of FACT spent in xGEMV */
- FERR, /* estimate error bounds after iterative refinement */
- NPHASES /* total number of phases */
-} PhaseType;
-
-
-/***********************************************************************
- * Type definitions
- ***********************************************************************/
-typedef double flops_t;
-typedef unsigned char Logical;
-
-/*
- *-- This contains the options used to control the solve process.
- *
- * Fact (fact_t)
- * Specifies whether or not the factored form of the matrix
- * A is supplied on entry, and if not, how the matrix A should
- * be factorizaed.
- * = DOFACT: The matrix A will be factorized from scratch, and the
- * factors will be stored in L and U.
- * = SamePattern: The matrix A will be factorized assuming
- * that a factorization of a matrix with the same sparsity
- * pattern was performed prior to this one. Therefore, this
- * factorization will reuse column permutation vector
- * ScalePermstruct->perm_c and the column elimination tree
- * LUstruct->etree.
- * = SamePattern_SameRowPerm: The matrix A will be factorized
- * assuming that a factorization of a matrix with the same
- * sparsity pattern and similar numerical values was performed
- * prior to this one. Therefore, this factorization will reuse
- * both row and column scaling factors R and C, and the
- * both row and column permutation vectors perm_r and perm_c,
- * distributed data structure set up from the previous symbolic
- * factorization.
- * = FACTORED: On entry, L, U, perm_r and perm_c contain the
- * factored form of A. If DiagScale is not NOEQUIL, the matrix
- * A has been equilibrated with scaling factors R and C.
- *
- * Equil (yes_no_t)
- * Specifies whether to equilibrate the system (scale A's row and
- * columns to have unit norm).
- *
- * ColPerm (colperm_t)
- * Specifies what type of column permutation to use to reduce fill.
- * = NATURAL: use the natural ordering
- * = MMD_ATA: use minimum degree ordering on structure of A'*A
- * = MMD_AT_PLUS_A: use minimum degree ordering on structure of A'+A
- * = COLAMD: use approximate minimum degree column ordering
- * = MY_PERMC: use the ordering specified in ScalePermstruct->perm_c[]
- *
- * Trans (trans_t)
- * Specifies the form of the system of equations:
- * = NOTRANS: A * X = B (No transpose)
- * = TRANS: A**T * X = B (Transpose)
- * = CONJ: A**H * X = B (Transpose)
- *
- * IterRefine (IterRefine_t)
- * Specifies whether to perform iterative refinement.
- * = NO: no iterative refinement
- * = WorkingPrec: perform iterative refinement in working precision
- * = ExtraPrec: perform iterative refinement in extra precision
- *
- * PrintStat (yes_no_t)
- * Specifies whether to print the solver's statistics.
- *
- * DiagPivotThresh (double, in [0.0, 1.0]) (only for sequential SuperLU)
- * Specifies the threshold used for a diagonal entry to be an
- * acceptable pivot.
- *
- * PivotGrowth (yes_no_t)
- * Specifies whether to compute the reciprocal pivot growth.
- *
- * ConditionNumber (ues_no_t)
- * Specifies whether to compute the reciprocal condition number.
- *
- * RowPerm (rowperm_t) (only for SuperLU_DIST)
- * Specifies whether to permute rows of the original matrix.
- * = NO: not to permute the rows
- * = LargeDiag: make the diagonal large relative to the off-diagonal
- * = MY_PERMR: use the permutation given in ScalePermstruct->perm_r[]
- *
- * ReplaceTinyPivot (yes_no_t) (only for SuperLU_DIST)
- * Specifies whether to replace the tiny diagonals by
- * sqrt(epsilon)*||A|| during LU factorization.
- *
- * SolveInitialized (yes_no_t) (only for SuperLU_DIST)
- * Specifies whether the initialization has been performed to the
- * triangular solve.
- *
- * RefineInitialized (yes_no_t) (only for SuperLU_DIST)
- * Specifies whether the initialization has been performed to the
- * sparse matrix-vector multiplication routine needed in iterative
- * refinement.
- */
-typedef struct {
- fact_t Fact;
- yes_no_t Equil;
- colperm_t ColPerm;
- trans_t Trans;
- IterRefine_t IterRefine;
- yes_no_t PrintStat;
- yes_no_t SymmetricMode;
- double DiagPivotThresh;
- yes_no_t PivotGrowth;
- yes_no_t ConditionNumber;
- rowperm_t RowPerm;
- yes_no_t ReplaceTinyPivot;
- yes_no_t SolveInitialized;
- yes_no_t RefineInitialized;
-} superlu_options_t;
-
-typedef struct {
- int *panel_histo; /* histogram of panel size distribution */
- double *utime; /* running time at various phases */
- flops_t *ops; /* operation count at various phases */
- int TinyPivots; /* number of tiny pivots */
- int RefineSteps; /* number of iterative refinement steps */
-} SuperLUStat_t;
-
-
-/***********************************************************************
- * Prototypes
- ***********************************************************************/
-#ifdef __cplusplus
-extern "C" {
-#endif
-
-extern void Destroy_SuperMatrix_Store(SuperMatrix *);
-extern void Destroy_CompCol_Matrix(SuperMatrix *);
-extern void Destroy_CompRow_Matrix(SuperMatrix *);
-extern void Destroy_SuperNode_Matrix(SuperMatrix *);
-extern void Destroy_CompCol_Permuted(SuperMatrix *);
-extern void Destroy_Dense_Matrix(SuperMatrix *);
-extern void get_perm_c(int, SuperMatrix *, int *);
-extern void set_default_options(superlu_options_t *options);
-extern void sp_preorder (superlu_options_t *, SuperMatrix*, int*, int*,
- SuperMatrix*);
-extern void superlu_abort_and_exit(char*);
-extern void *superlu_malloc (size_t);
-extern int *intMalloc (int);
-extern int *intCalloc (int);
-extern void superlu_free (void*);
-extern void SetIWork (int, int, int, int *, int **, int **, int **,
- int **, int **, int **, int **);
-extern int sp_coletree (int *, int *, int *, int, int, int *);
-extern void relax_snode (const int, int *, const int, int *, int *);
-extern void heap_relax_snode (const int, int *, const int, int *, int *);
-extern void resetrep_col (const int, const int *, int *);
-extern int spcoletree (int *, int *, int *, int, int, int *);
-extern int *TreePostorder (int, int *);
-extern double SuperLU_timer_ (void);
-extern int sp_ienv (int);
-extern int lsame_ (char *, char *);
-extern int xerbla_ (char *, int *);
-extern void ifill (int *, int, int);
-extern void snode_profile (int, int *);
-extern void super_stats (int, int *);
-extern void PrintSumm (char *, int, int, int);
-extern void StatInit(SuperLUStat_t *);
-extern void StatPrint (SuperLUStat_t *);
-extern void StatFree(SuperLUStat_t *);
-extern void print_panel_seg(int, int, int, int, int *, int *);
-extern void check_repfnz(int, int, int, int *);
-
-#ifdef __cplusplus
- }
-#endif
-
-#endif /* __SUPERLU_UTIL */