forked from bartvdbraak/blender
4f1c674ee0
http://crd.lbl.gov/~xiaoye/SuperLU/ This is a library to solve sparse matrix systems (type A*x=B). It is able to solve large systems very FAST. Only the necessary parts of the library are included to limit file size and compilation time. This means the example files, fortran interface, test files, matlab interface, cblas library, complex number part and build system have been left out. All (gcc) warnings have been fixed too. This library will be used for LSCM UV unwrapping. With this library, LSCM unwrapping can be calculated in a split second, making the unwrapping proces much more interactive. Added OpenNL (Open Numerical Libary): http://www.loria.fr/~levy/OpenNL/ OpenNL is a library to easily construct and solve sparse linear systems. We use a stripped down version, as an interface to SuperLU. This library was kindly given to use by Bruno Levy.
68 lines
2.4 KiB
C
68 lines
2.4 KiB
C
/* ========================================================================== */
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/* === colamd prototypes and definitions ==================================== */
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/* ========================================================================== */
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/*
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This is the colamd include file,
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http://www.cise.ufl.edu/~davis/colamd/colamd.h
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for use in the colamd.c, colamdmex.c, and symamdmex.c files located at
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http://www.cise.ufl.edu/~davis/colamd/
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See those files for a description of colamd and symamd, and for the
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copyright notice, which also applies to this file.
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August 3, 1998. Version 1.0.
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*/
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/* ========================================================================== */
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/* === Definitions ========================================================== */
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/* ========================================================================== */
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/* size of the knobs [ ] array. Only knobs [0..1] are currently used. */
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#define COLAMD_KNOBS 20
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/* number of output statistics. Only A [0..2] are currently used. */
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#define COLAMD_STATS 20
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/* knobs [0] and A [0]: dense row knob and output statistic. */
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#define COLAMD_DENSE_ROW 0
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/* knobs [1] and A [1]: dense column knob and output statistic. */
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#define COLAMD_DENSE_COL 1
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/* A [2]: memory defragmentation count output statistic */
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#define COLAMD_DEFRAG_COUNT 2
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/* A [3]: whether or not the input columns were jumbled or had duplicates */
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#define COLAMD_JUMBLED_COLS 3
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/* ========================================================================== */
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/* === Prototypes of user-callable routines ================================= */
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/* ========================================================================== */
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int colamd_recommended /* returns recommended value of Alen */
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(
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int nnz, /* nonzeros in A */
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int n_row, /* number of rows in A */
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int n_col /* number of columns in A */
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) ;
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void colamd_set_defaults /* sets default parameters */
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( /* knobs argument is modified on output */
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double knobs [COLAMD_KNOBS] /* parameter settings for colamd */
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) ;
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int colamd /* returns TRUE if successful, FALSE otherwise*/
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( /* A and p arguments are modified on output */
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int n_row, /* number of rows in A */
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int n_col, /* number of columns in A */
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int Alen, /* size of the array A */
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int A [], /* row indices of A, of size Alen */
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int p [], /* column pointers of A, of size n_col+1 */
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double knobs [COLAMD_KNOBS] /* parameter settings for colamd */
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) ;
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