slahmr-test / include /SLIP_LU.h
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//------------------------------------------------------------------------------
// SLIP_LU/Include/SLIP_LU.h: user #include file for SLIP_LU.
//------------------------------------------------------------------------------
// SLIP_LU: (c) 2019-2020, Chris Lourenco, Jinhao Chen, Erick Moreno-Centeno,
// Timothy A. Davis, Texas A&M University. All Rights Reserved. See
// SLIP_LU/License for the license.
//------------------------------------------------------------------------------
#ifndef SLIP_LU_H
#define SLIP_LU_H
// This software package exactly solves a sparse system of linear equations
// using the SLIP LU factorization. This code accompanies the paper (submitted
// to ACM Transactions on Mathematical Software):
// "Algorithm 1xxx: SLIP LU: A Sparse Left-Looking Integer-Preserving LU
// Factorization for Exactly Solving Sparse Linear Systems",
// C. Lourenco, J. Chen, E. Moreno-Centeno, T. Davis, under submission,
// ACM Trans. Mathematical Software.
// The theory associated with this software can be found in the paper
// (published in SIAM journal on matrix analysis and applications):
// "Exact Solution of Sparse Linear Systems via Left-Looking
// Roundoff-Error-Free LU Factorization in Time Proportional to
// Arithmetic Work", C. Lourenco, A. R. Escobedo, E. Moreno-Centeno,
// T. Davis, SIAM J. Matrix Analysis and Applications. pp 609-638,
// vol 40, no 2, 2019.
// If you use this code, you must first download and install the GMP and
// MPFR libraries. GMP and MPFR can be found at:
// https://gmplib.org/
// http://www.mpfr.org/
// If you use SLIP LU for a publication, we request that you please cite
// the above two papers.
//------------------------------------------------------------------------------
//------------------------------------------------------------------------------
//-------------------------Authors----------------------------------------------
//------------------------------------------------------------------------------
//------------------------------------------------------------------------------
// Christopher Lourenco, Jinhao Chen, Erick Moreno-Centeno, and Timothy Davis
//
//------------------------------------------------------------------------------
//------------------------------------------------------------------------------
//-------------------------Contact Information----------------------------------
//------------------------------------------------------------------------------
//------------------------------------------------------------------------------
// Please contact Chris Lourenco (chrisjlourenco@gmail.com)
// or Tim Davis (timdavis@aldenmath.com, DrTimothyAldenDavis@gmail.com,
// davis@tamu.edu)
//------------------------------------------------------------------------------
//------------------------------------------------------------------------------
//-------------------------Copyright--------------------------------------------
//------------------------------------------------------------------------------
//------------------------------------------------------------------------------
// SLIP LU is free software; you can redistribute it and/or modify
// it under the terms of either:
//
// * the GNU Lesser General Public License as published by the
// Free Software Foundation; either version 3 of the License,
// or (at your option) any later version.
//
// or
//
// * the GNU General Public License as published by the Free Software
// Foundation; either version 2 of the License, or (at your option) any
// later version.
//
// or both in parallel, as here.
//
// See license.txt for license info.
//
// This software is copyright by Christopher Lourenco, Jinhao Chen, Erick
// Moreno-Centeno and Timothy A. Davis. All Rights Reserved.
//
//------------------------------------------------------------------------------
//------------------------------------------------------------------------------
//---------------------------DISCLAIMER-----------------------------------------
//------------------------------------------------------------------------------
//------------------------------------------------------------------------------
// SLIP LU 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 General Public License
// for more details.
//------------------------------------------------------------------------------
//------------------------------------------------------------------------------
//--------------------------Summary---------------------------------------------
//------------------------------------------------------------------------------
//------------------------------------------------------------------------------
// This software package solves the linear system Ax = b exactly. The input
// matrix and right hand side vectors are stored as either integers, double
// precision numbers, multiple precision floating points (through the mpfr
// library) or as rational numbers (as a collection of numerators and
// denominators using the GMP mpq_t data structure). Appropriate routines
// within the code transform the input into an integral matrix in compressed
// column form.
// This package computes the factorization PAQ = LDU. Note that we store the
// "functional" form of the factorization by only storing L and U. The user
// is given some freedom to select the permutation matrices P and Q. The
// recommended default settings select Q using the COLAMD column ordering
// and select P via a partial pivoting scheme in which the diagonal entry
// in column k is selected if it is the same magnitude as the smallest
// entry, otherwise the smallest entry is selected as the kth pivot.
// Alternative strategies allowed to select Q include the AMD column
// ordering or no column permutation (Q=I). For pivots, there are a variety
// of potential schemes including traditional partial pivoting, diagonal
// pivoting, tolerance pivoting etc. This package does not allow pivoting
// based on sparsity criterion.
// The factors L and U are computed via integer preserving operations via
// integer-preserving Gaussian elimination. The key part of this algorithm
// is a Roundoff Error Free (REF) sparse triangular solve function which
// exploits sparsity to reduce the number of operations that must be
// performed.
// Once L and U are computed, a simplified version of the triangular solve
// is performed which assumes the vector b is dense. The final solution
// vector x is gauranteed to be exact. This vector can be output in one of
// three ways: 1) full precision rational arithmetic (as a sequence of
// numerators and denominators) using the GMP mpq_t data type, 2) double
// precision while not exact will produce a solution accurate to machine
// roundoff unless the size of the associated solution exceeds double
// precision (i.e., the solution is 10^500 or something), 3) variable
// precision floating point using the GMP mpfr_t data type. The associated
// precision is user defined.
//------------------------------------------------------------------------------
//------------------------------------------------------------------------------
//---------------------Include files required by SLIP LU------------------------
//------------------------------------------------------------------------------
//------------------------------------------------------------------------------
#include <stdio.h>
#include <stdbool.h>
#include <stdint.h>
#include <stdlib.h>
#include <string.h>
#include <gmp.h>
#include <mpfr.h>
#include "SuiteSparse_config.h"
//------------------------------------------------------------------------------
// Version
//------------------------------------------------------------------------------
// Current version of the code
#define SLIP_LU_VERSION "1.0.2"
#define SLIP_LU_VERSION_MAJOR 1
#define SLIP_LU_VERSION_MINOR 0
#define SLIP_LU_VERSION_SUB 2
//------------------------------------------------------------------------------
// Error codes
//------------------------------------------------------------------------------
// Most SLIP_LU functions return a code that indicates if it was successful
// or not. Otherwise the code returns a pointer to the object that was created
// or it returns void (in the case that an object was deleted)
typedef enum
{
SLIP_OK = 0, // all is well
SLIP_OUT_OF_MEMORY = -1, // out of memory
SLIP_SINGULAR = -2, // the input matrix A is singular
SLIP_INCORRECT_INPUT = -3, // one or more input arguments are incorrect
SLIP_INCORRECT = -4, // The solution is incorrect
SLIP_PANIC = -5 // SLIP_LU used without proper initialization
}
SLIP_info ;
//------------------------------------------------------------------------------
// Pivot scheme codes
//------------------------------------------------------------------------------
// A code in SLIP_options to tell SLIP LU what type of pivoting to use.
typedef enum
{
SLIP_SMALLEST = 0, // Smallest pivot
SLIP_DIAGONAL = 1, // Diagonal pivoting
SLIP_FIRST_NONZERO = 2, // First nonzero per column chosen as pivot
SLIP_TOL_SMALLEST = 3, // Diagonal pivoting with tol for smallest pivot.
// (Default)
SLIP_TOL_LARGEST = 4, // Diagonal pivoting with tol. for largest pivot
SLIP_LARGEST = 5 // Largest pivot
}
SLIP_pivot ;
//------------------------------------------------------------------------------
// Column ordering scheme codes
//------------------------------------------------------------------------------
// A code in SLIP_options to tell SLIP LU what column ordering to use.
typedef enum
{
SLIP_NO_ORDERING = 0, // None: A is factorized as-is
SLIP_COLAMD = 1, // COLAMD: Default
SLIP_AMD = 2 // AMD
}
SLIP_col_order ;
//------------------------------------------------------------------------------
//------------------------------------------------------------------------------
//-------------------------Data Structures--------------------------------------
//------------------------------------------------------------------------------
//------------------------------------------------------------------------------
// This struct serves as a global struct to define all user-selectable options.
typedef struct SLIP_options
{
SLIP_pivot pivot ; // row pivoting scheme used.
SLIP_col_order order ; // column ordering scheme used
double tol ; // tolerance for the row-pivotin methods
// SLIP_TOL_SMALLEST and SLIP_TOL_LARGEST
int print_level ; // 0: print nothing, 1: just errors,
// 2: terse (basic stats from COLAMD/AMD and
// SLIP LU), 3: all, with matrices and results
int32_t prec ; // Precision used to output file if MPFR is chosen
mpfr_rnd_t round ; // Type of MPFR rounding used
bool check ; // Set true if the solution to the system should be
// checked. Intended for debugging only; SLIP_LU is
// guaranteed to return the exact solution.
} SLIP_options ;
// Purpose: Create and return SLIP_options object with default parameters
// upon successful allocation, which are defined in SLIP_LU_internal.h
// To free it, simply use SLIP_FREE (option).
SLIP_options* SLIP_create_default_options (void) ;
//------------------------------------------------------------------------------
// SLIP_matrix: a sparse CSC, sparse triplet, or dense matrix
//------------------------------------------------------------------------------
// SLIP LU uses a single matrix data type, SLIP_matrix, which can be held in
// one of three kinds of formats: sparse CSC (compressed sparse column),
// sparse triplet, and dense:
typedef enum
{
SLIP_CSC = 0, // matrix is in compressed sparse column format
SLIP_TRIPLET = 1, // matrix is in sparse triplet format
SLIP_DENSE = 2 // matrix is in dense format
}
SLIP_kind ;
// Each of the three formats can have values of 5 different data types: mpz_t,
// mpq_t, mpfr_t, int64_t, and double:
typedef enum
{
SLIP_MPZ = 0, // matrix of mpz_t integers
SLIP_MPQ = 1, // matrix of mpq_t rational numbers
SLIP_MPFR = 2, // matrix of mpfr_t
SLIP_INT64 = 3, // matrix of int64_t integers
SLIP_FP64 = 4 // matrix of doubles
}
SLIP_type ;
// This gives a total of 15 different matrix types. Not all functions accept
// all 15 matrices types, however.
// Suppose A is an m-by-n matrix with nz <= nzmax entries.
// The p, i, j, and x components are defined as:
// (0) SLIP_CSC: A sparse matrix in CSC (compressed sparse column) format.
// A->p is an int64_t array of size n+1, A->i is an int64_t array of size
// nzmax (with nz <= nzmax), and A->x.type is an array of size nzmax of
// matrix entries ('type' is one of mpz, mpq, mpfr, int64, or fp64). The
// row indices of column j appear in A->i [A->p [j] ... A->p [j+1]-1], and
// the values appear in the same locations in A->x.type. The A->j array
// is NULL. A->nz is ignored; nz is A->p [A->n].
// (1) SLIP_TRIPLET: A sparse matrix in triplet format. A->i and A->j are
// both int64_t arrays of size nzmax, and A->x.type is an array of values
// of the same size. The kth tuple has row index A->i [k], column index
// A->j [k], and value A->x.type [k], with 0 <= k < A->nz. The A->p array
// is NULL.
// (2) SLIP_DENSE: A dense matrix. The integer arrays A->p, A->i, and A->j
// are all NULL. A->x.type is a pointer to an array of size m*n, stored
// in column-oriented format. The value of A(i,j) is A->x.type [p]
// with p = i + j*A->m. A->nz is ignored; nz is A->m * A->n.
// The SLIP_matrix may contain 'shallow' components, A->p, A->i, A->j, and
// A->x. For example, if A->p_shallow is true, then a non-NULL A->p is a
// pointer to a read-only array, and the A->p array is not freed by
// SLIP_matrix_free. If A->p is NULL (for a triplet or dense matrix), then
// A->p_shallow has no effect.
typedef struct
{
int64_t m ; // number of rows
int64_t n ; // number of columns
int64_t nzmax ; // size of A->i, A->j, and A->x
int64_t nz ; // # nonzeros in a triplet matrix .
// Ignored for CSC and dense matrices.
SLIP_kind kind ; // CSC, triplet, or dense
SLIP_type type ; // mpz, mpq, mpfr, int64, or fp64 (double)
int64_t *p ; // if CSC: column pointers, an array size is n+1.
// if triplet or dense: A->p is NULL.
bool p_shallow ; // if true, A->p is shallow.
int64_t *i ; // if CSC or triplet: row indices, of size nzmax.
// if dense: A->i is NULL.
bool i_shallow ; // if true, A->i is shallow.
int64_t *j ; // if triplet: column indices, of size nzmax.
// if CSC or dense: A->j is NULL.
bool j_shallow ; // if true, A->j is shallow.
union // A->x.type has size nzmax.
{
mpz_t *mpz ; // A->x.mpz
mpq_t *mpq ; // A->x.mpq
mpfr_t *mpfr ; // A->x.mpfr
int64_t *int64 ; // A->x.int64
double *fp64 ; // A->x.fp64
} x ;
bool x_shallow ; // if true, A->x.type is shallow.
mpq_t scale ; // scale factor for mpz matrices (never shallow)
// For all matrices who's type is not mpz,
// mpz_scale = 1.
} SLIP_matrix ;
//------------------------------------------------------------------------------
// SLIP_matrix_allocate: allocate an m-by-n SLIP_matrix
//------------------------------------------------------------------------------
// if shallow is false: All components (p,i,j,x) are allocated and set to zero,
// and then shallow flags are all false.
// if shallow is true: All components (p,i,j,x) are NULL, and their shallow
// flags are all true. The user can then set A->p,
// A->i, A->j, and/or A->x accordingly, from their own
// arrays.
SLIP_info SLIP_matrix_allocate
(
SLIP_matrix **A_handle, // matrix to allocate
SLIP_kind kind, // CSC, triplet, or dense
SLIP_type type, // mpz, mpq, mpfr, int64, or double
int64_t m, // # of rows
int64_t n, // # of columns
int64_t nzmax, // max # of entries
bool shallow, // if true, matrix is shallow. A->p, A->i, A->j,
// A->x are all returned as NULL and must be set
// by the caller. All A->*_shallow are returned
// as true.
bool init, // If true, and the data types are mpz, mpq, or
// mpfr, the entries are initialized (using the
// appropriate SLIP_mp*_init function). If false,
// the mpz, mpq, and mpfr arrays are allocated but
// not initialized.
const SLIP_options *option
) ;
//------------------------------------------------------------------------------
// SLIP_matrix_free: free a SLIP_matrix
//------------------------------------------------------------------------------
SLIP_info SLIP_matrix_free
(
SLIP_matrix **A_handle, // matrix to free
const SLIP_options *option
) ;
//------------------------------------------------------------------------------
// SLIP_matrix_nnz: # of entries in a matrix
//------------------------------------------------------------------------------
int64_t SLIP_matrix_nnz // return # of entries in A, or -1 on error
(
const SLIP_matrix *A, // matrix to query
const SLIP_options *option
) ;
//------------------------------------------------------------------------------
// SLIP_matrix_copy: makes a copy of a matrix
//------------------------------------------------------------------------------
// SLIP_matrix_copy: make a copy of a SLIP_matrix, into another kind and type.
SLIP_info SLIP_matrix_copy
(
SLIP_matrix **C_handle, // matrix to create (never shallow)
// inputs, not modified:
SLIP_kind C_kind, // C->kind: CSC, triplet, or dense
SLIP_type C_type, // C->type: mpz_t, mpq_t, mpfr_t, int64_t, or double
SLIP_matrix *A, // matrix to make a copy of (may be shallow)
const SLIP_options *option
) ;
//------------------------------------------------------------------------------
// SLIP_matrix macros
//------------------------------------------------------------------------------
// These macros simplify the access to entries in a SLIP_matrix.
// The type parameter is one of: mpq, mpz, mpfr, int64, or fp64.
// To access the kth entry in a SLIP_matrix using 1D linear addressing,
// in any matrix kind (CSC, triplet, or dense), in any type:
#define SLIP_1D(A,k,type) ((A)->x.type [k])
// To access the (i,j)th entry in a 2D SLIP_matrix, in any type:
#define SLIP_2D(A,i,j,type) SLIP_1D (A, (i)+(j)*((A)->m), type)
//------------------------------------------------------------------------------
// SLIP_LU_analysis: symbolic pre-analysis
//------------------------------------------------------------------------------
// This struct stores the column permutation for LU and the estimate of the
// number of nonzeros in L and U.
typedef struct
{
int64_t *q ; // Column permutation for LU factorization, representing
// the permutation matrix Q. The matrix A*Q is factorized.
// If the kth column of L, U, and A*Q is column j of the
// unpermuted matrix A, then j = S->q [k].
int64_t lnz ; // Approximate number of nonzeros in L.
int64_t unz ; // Approximate number of nonzeros in U.
// lnz and unz are used to allocate the initial space for
// L and U; the space is reallocated as needed.
} SLIP_LU_analysis ;
// The symbolic analysis object is created by SLIP_LU_analyze.
// SLIP_LU_analysis_free frees the SLIP_LU_analysis object.
SLIP_info SLIP_LU_analysis_free
(
SLIP_LU_analysis **S, // Structure to be deleted
const SLIP_options *option
) ;
//------------------------------------------------------------------------------
// Memory management
//------------------------------------------------------------------------------
// SLIP_LU relies on the SuiteSparse memory management functions,
// SuiteSparse_malloc, SuiteSparse_calloc, SuiteSparse_realloc, and
// SuiteSparse_free.
// Allocate and initialize memory space for SLIP_LU.
void *SLIP_calloc
(
size_t nitems, // number of items to allocate
size_t size // size of each item
) ;
// Allocate memory space for SLIP_LU.
void *SLIP_malloc
(
size_t size // size of memory space to allocate
) ;
// Free the memory allocated by SLIP_calloc, SLIP_malloc, or SLIP_realloc.
void SLIP_free
(
void *p // pointer to memory space to free
) ;
// Free a pointer and set it to NULL.
#define SLIP_FREE(p) \
{ \
SLIP_free (p) ; \
(p) = NULL ; \
}
// SLIP_realloc is a wrapper for realloc. If p is non-NULL on input, it points
// to a previously allocated object of size old_size * size_of_item. The
// object is reallocated to be of size new_size * size_of_item. If p is NULL
// on input, then a new object of that size is allocated. On success, a
// pointer to the new object is returned. If the reallocation fails, p is not
// modified, and a flag is returned to indicate that the reallocation failed.
// If the size decreases or remains the same, then the method always succeeds
// (ok is returned as true).
// Typical usage: the following code fragment allocates an array of 10 int's,
// and then increases the size of the array to 20 int's. If the SLIP_malloc
// succeeds but the SLIP_realloc fails, then the array remains unmodified,
// of size 10.
//
// int *p ;
// p = SLIP_malloc (10 * sizeof (int)) ;
// if (p == NULL) { error here ... }
// printf ("p points to an array of size 10 * sizeof (int)\n") ;
// bool ok ;
// p = SLIP_realloc (20, 10, sizeof (int), p, &ok) ;
// if (ok) printf ("p has size 20 * sizeof (int)\n") ;
// else printf ("realloc failed; p still has size 10 * sizeof (int)\n") ;
// SLIP_free (p) ;
void *SLIP_realloc // pointer to reallocated block, or original block
// if the realloc failed
(
int64_t nitems_new, // new number of items in the object
int64_t nitems_old, // old number of items in the object
size_t size_of_item, // sizeof each item
void *p, // old object to reallocate
bool *ok // true if success, false on failure
) ;
//------------------------------------------------------------------------------
// SLIP LU memory environment routines
//------------------------------------------------------------------------------
// SLIP_initialize: initializes the working evironment for SLIP LU library.
// It must be called prior to calling any other SLIP_* function.
SLIP_info SLIP_initialize (void) ;
// SLIP_initialize_expert is the same as SLIP_initialize, except that it allows
// for a redefinition of custom memory functions that are used for SLIP_LU and
// GMP. The four inputs to this function are pointers to four functions with
// the same signatures as the ANSI C malloc, calloc, realloc, and free.
SLIP_info SLIP_initialize_expert
(
void* (*MyMalloc) (size_t), // user-defined malloc
void* (*MyCalloc) (size_t, size_t), // user-defined calloc
void* (*MyRealloc) (void *, size_t), // user-defined realloc
void (*MyFree) (void *) // user-defined free
) ;
// SLIP_finalize: This function finalizes the working evironment for SLIP LU
// library, and frees any internal workspace created by SLIP_LU. It must be
// called as the last SLIP_* function called.
SLIP_info SLIP_finalize (void) ;
//------------------------------------------------------------------------------
// Primary factorization & solve routines
//------------------------------------------------------------------------------
// SLIP_backslash solves the linear system Ax = b. This is the simplest way to
// use the SLIP LU package. This function encompasses both factorization and
// solve and returns the solution vector in the user desired type. It can be
// thought of as an exact version of MATLAB sparse backslash.
SLIP_info SLIP_backslash
(
// Output
SLIP_matrix **X_handle, // Final solution vector
// Input
SLIP_type type, // Type of output desired:
// Must be SLIP_MPQ, SLIP_MPFR,
// or SLIP_FP64
const SLIP_matrix *A, // Input matrix
const SLIP_matrix *b, // Right hand side vector(s)
const SLIP_options* option
) ;
// SLIP_LU_analyze performs the symbolic ordering and analysis for SLIP LU.
// Currently, there are three options: no ordering, COLAMD, and AMD.
SLIP_info SLIP_LU_analyze
(
SLIP_LU_analysis **S, // symbolic analysis (column permutation and nnz L,U)
const SLIP_matrix *A, // Input matrix
const SLIP_options *option // Control parameters
) ;
// SLIP_LU_factorize performs the SLIP LU factorization. This factorization is
// done via n iterations of the sparse REF triangular solve function. The
// overall factorization is PAQ = LDU. The determinant can be obtained as
// rhos->x.mpz[n-1].
//
// L: undefined on input, created on output
// U: undefined on input, created on output
// rhos: undefined on input, created on output
// pinv: undefined on input, created on output
//
// A: input only, not modified
// S: input only, not modified
// option: input only, not modified
SLIP_info SLIP_LU_factorize
(
// output:
SLIP_matrix **L_handle, // lower triangular matrix
SLIP_matrix **U_handle, // upper triangular matrix
SLIP_matrix **rhos_handle, // sequence of pivots
int64_t **pinv_handle, // inverse row permutation
// input:
const SLIP_matrix *A, // matrix to be factored
const SLIP_LU_analysis *S, // column permutation and estimates
// of nnz in L and U
const SLIP_options* option
) ;
// SLIP_LU_solve solves the linear system LD^(-1)U x = b.
SLIP_info SLIP_LU_solve // solves the linear system LD^(-1)U x = b
(
// Output
SLIP_matrix **X_handle, // rational solution to the system
// input:
const SLIP_matrix *b, // right hand side vector
const SLIP_matrix *A, // Input matrix
const SLIP_matrix *L, // lower triangular matrix
const SLIP_matrix *U, // upper triangular matrix
const SLIP_matrix *rhos, // sequence of pivots
const SLIP_LU_analysis *S, // symbolic analysis struct
const int64_t *pinv, // inverse row permutation
const SLIP_options* option
) ;
// SLIP_matrix_check: check and print a SLIP_sparse matrix
SLIP_info SLIP_matrix_check // returns a SLIP_LU status code
(
const SLIP_matrix *A, // matrix to check
const SLIP_options* option // defines the print level
) ;
//------------------------------------------------------------------------------
//---------------------------SLIP GMP/MPFR Functions----------------------------
//------------------------------------------------------------------------------
// The following functions are the SLIP LU interface to the GMP/MPFR libary.
// Each corresponding GMP/MPFR function is given a wrapper to ensure that no
// memory leaks or crashes occur. All covered GMP functions can be found in
// SLIP_gmp.c
// The GMP library does not handle out-of-memory failures. However, it does
// provide a mechanism for passing function pointers that replace GMP's use of
// malloc, realloc, and free. This mechanism is used to provide a try/catch
// mechanism for memory allocation errors, using setjmp and longjmp.
// When a GMP function is called, this wrapper keeps track of a list of objects
// allocated by that function. The list is started fresh each time a GMP
// function is called. If any allocation fails, the NULL pointer is not
// returned to GMP. Instead, all allocated blocks in the list are freed,
// and slip_gmp_allocate returns directly to wrapper.
SLIP_info SLIP_mpfr_asprintf (char **str, const char *format, ... ) ;
SLIP_info SLIP_gmp_fscanf (FILE *fp, const char *format, ... ) ;
SLIP_info SLIP_mpz_init (mpz_t x) ;
SLIP_info SLIP_mpz_init2(mpz_t x, const size_t size) ;
SLIP_info SLIP_mpz_set (mpz_t x, const mpz_t y) ;
SLIP_info SLIP_mpz_set_ui (mpz_t x, const uint64_t y) ;
SLIP_info SLIP_mpz_set_si (mpz_t x, const int64_t y) ;
SLIP_info SLIP_mpz_get_d (double *x, const mpz_t y) ;
SLIP_info SLIP_mpz_get_si (int64_t *x, const mpz_t y) ;
SLIP_info SLIP_mpz_set_q (mpz_t x, const mpq_t y) ;
SLIP_info SLIP_mpz_mul (mpz_t a, const mpz_t b, const mpz_t c) ;
SLIP_info SLIP_mpz_submul (mpz_t x, const mpz_t y, const mpz_t z) ;
SLIP_info SLIP_mpz_divexact (mpz_t x, const mpz_t y, const mpz_t z) ;
SLIP_info SLIP_mpz_gcd (mpz_t x, const mpz_t y, const mpz_t z) ;
SLIP_info SLIP_mpz_lcm (mpz_t lcm, const mpz_t x, const mpz_t y) ;
SLIP_info SLIP_mpz_abs (mpz_t x, const mpz_t y) ;
SLIP_info SLIP_mpz_cmp (int *r, const mpz_t x, const mpz_t y) ;
SLIP_info SLIP_mpz_cmpabs (int *r, const mpz_t x, const mpz_t y) ;
SLIP_info SLIP_mpz_cmp_ui (int *r, const mpz_t x, const uint64_t y) ;
SLIP_info SLIP_mpz_sgn (int *sgn, const mpz_t x) ;
SLIP_info SLIP_mpz_sizeinbase (size_t *size, const mpz_t x, int64_t base) ;
SLIP_info SLIP_mpq_init (mpq_t x) ;
SLIP_info SLIP_mpq_set (mpq_t x, const mpq_t y) ;
SLIP_info SLIP_mpq_set_z (mpq_t x, const mpz_t y) ;
SLIP_info SLIP_mpq_set_d (mpq_t x, const double y) ;
SLIP_info SLIP_mpq_set_ui (mpq_t x, const uint64_t y, const uint64_t z) ;
SLIP_info SLIP_mpq_set_si (mpq_t x, const int64_t y, const uint64_t z) ;
SLIP_info SLIP_mpq_set_num (mpq_t x, const mpz_t y) ;
SLIP_info SLIP_mpq_set_den (mpq_t x, const mpz_t y) ;
SLIP_info SLIP_mpq_get_den (mpz_t x, const mpq_t y) ;
SLIP_info SLIP_mpq_get_d (double *x, const mpq_t y) ;
SLIP_info SLIP_mpq_abs (mpq_t x, const mpq_t y) ;
SLIP_info SLIP_mpq_add (mpq_t x, const mpq_t y, const mpq_t z) ;
SLIP_info SLIP_mpq_mul (mpq_t x, const mpq_t y, const mpq_t z) ;
SLIP_info SLIP_mpq_div (mpq_t x, const mpq_t y, const mpq_t z) ;
SLIP_info SLIP_mpq_cmp (int *r, const mpq_t x, const mpq_t y) ;
SLIP_info SLIP_mpq_cmp_ui (int *r, const mpq_t x,
const uint64_t num, const uint64_t den) ;
SLIP_info SLIP_mpq_sgn (int *sgn, const mpq_t x) ;
SLIP_info SLIP_mpq_equal (int *r, const mpq_t x, const mpq_t y) ;
SLIP_info SLIP_mpfr_init2(mpfr_t x, const uint64_t size) ;
SLIP_info SLIP_mpfr_set (mpfr_t x, const mpfr_t y, const mpfr_rnd_t rnd) ;
SLIP_info SLIP_mpfr_set_d (mpfr_t x, const double y, const mpfr_rnd_t rnd) ;
SLIP_info SLIP_mpfr_set_si (mpfr_t x, int64_t y, const mpfr_rnd_t rnd) ;
SLIP_info SLIP_mpfr_set_q (mpfr_t x, const mpq_t y, const mpfr_rnd_t rnd) ;
SLIP_info SLIP_mpfr_set_z (mpfr_t x, const mpz_t y, const mpfr_rnd_t rnd) ;
SLIP_info SLIP_mpfr_get_z (mpz_t x, const mpfr_t y, const mpfr_rnd_t rnd) ;
SLIP_info SLIP_mpfr_get_q (mpq_t x, const mpfr_t y, const mpfr_rnd_t rnd) ;
SLIP_info SLIP_mpfr_get_d (double *x, const mpfr_t y, const mpfr_rnd_t rnd) ;
SLIP_info SLIP_mpfr_get_si (int64_t *x, const mpfr_t y, const mpfr_rnd_t rnd) ;
SLIP_info SLIP_mpfr_mul (mpfr_t x, const mpfr_t y, const mpfr_t z,
const mpfr_rnd_t rnd) ;
SLIP_info SLIP_mpfr_mul_d (mpfr_t x, const mpfr_t y, const double z,
const mpfr_rnd_t rnd) ;
SLIP_info SLIP_mpfr_div_d (mpfr_t x, const mpfr_t y, const double z,
const mpfr_rnd_t rnd) ;
SLIP_info SLIP_mpfr_ui_pow_ui (mpfr_t x, const uint64_t y, const uint64_t z,
const mpfr_rnd_t rnd) ;
SLIP_info SLIP_mpfr_sgn (int *sgn, const mpfr_t x) ;
SLIP_info SLIP_mpfr_free_cache (void) ;
SLIP_info SLIP_mpfr_free_str (char *str) ;
#if 0
// These functions are currently unused, but kept here for future reference.
SLIP_info SLIP_gmp_asprintf (char **str, const char *format, ... ) ;
SLIP_info SLIP_gmp_printf (const char *format, ... ) ;
SLIP_info SLIP_mpfr_printf ( const char *format, ... ) ;
SLIP_info SLIP_gmp_fprintf (FILE *fp, const char *format, ... ) ;
SLIP_info SLIP_mpfr_fprintf (FILE *fp, const char *format, ... ) ;
SLIP_info SLIP_mpz_set_d (mpz_t x, const double y) ;
SLIP_info SLIP_mpz_add (mpz_t a, const mpz_t b, const mpz_t c) ;
SLIP_info SLIP_mpz_addmul (mpz_t x, const mpz_t y, const mpz_t z) ;
SLIP_info SLIP_mpfr_log2(mpfr_t x, const mpfr_t y, const mpfr_rnd_t rnd) ;
#endif
#endif