/* ========================================================================== */ /* === symamd mexFunction =================================================== */ /* ========================================================================== */ /* SYMAMD mexFunction Usage: P = symamd2 (A) ; [ P, stats ] = symamd2 (A, knobs) ; See symamd.m for a description. Authors: The authors of the code itself are Stefan I. Larimore and Timothy A. Davis (DrTimothyAldenDavis@gmail.com). The algorithm was developed in collaboration with John Gilbert, Xerox PARC, and Esmond Ng, Oak Ridge National Laboratory. Acknowledgements: This work was supported by the National Science Foundation, under grants DMS-9504974 and DMS-9803599. Notice: Copyright (c) 1998-2007, Timothy A. Davis. All Rights Reserved. See COLAMD/Doc/License.txt for the License. Availability: The colamd/symamd library is available at http://www.suitesparse.com */ /* ========================================================================== */ /* === Include files ======================================================== */ /* ========================================================================== */ #include "colamd.h" #include "mex.h" #include "matrix.h" #include #define Long SuiteSparse_long /* ========================================================================== */ /* === symamd mexFunction =================================================== */ /* ========================================================================== */ void mexFunction ( /* === Parameters ======================================================= */ int nlhs, /* number of left-hand sides */ mxArray *plhs [], /* left-hand side matrices */ int nrhs, /* number of right--hand sides */ const mxArray *prhs [] /* right-hand side matrices */ ) { /* === Local variables ================================================== */ Long *perm ; /* column ordering of M and ordering of A */ Long *A ; /* row indices of input matrix A */ Long *p ; /* column pointers of input matrix A */ Long n_col ; /* number of columns of A */ Long n_row ; /* number of rows of A */ Long full ; /* TRUE if input matrix full, FALSE if sparse */ double knobs [COLAMD_KNOBS] ; /* colamd user-controllable parameters */ double *out_perm ; /* output permutation vector */ double *out_stats ; /* output stats vector */ double *in_knobs ; /* input knobs vector */ Long i ; /* loop counter */ mxArray *Ainput ; /* input matrix handle */ Long spumoni ; /* verbosity variable */ Long stats [COLAMD_STATS] ; /* stats for symamd */ /* === Check inputs ===================================================== */ if (nrhs < 1 || nrhs > 2 || nlhs < 0 || nlhs > 2) { mexErrMsgTxt ( "symamd: incorrect number of input and/or output arguments.") ; } /* === Get knobs ======================================================== */ colamd_l_set_defaults (knobs) ; spumoni = 0 ; /* check for user-passed knobs */ if (nrhs == 2) { in_knobs = mxGetPr (prhs [1]) ; i = mxGetNumberOfElements (prhs [1]) ; if (i > 0) knobs [COLAMD_DENSE_ROW] = in_knobs [0] ; if (i > 1) spumoni = (Long) (in_knobs [1] != 0) ; } /* print knob settings if spumoni is set */ if (spumoni) { mexPrintf ("\nsymamd version %d.%d, %s:\n", COLAMD_MAIN_VERSION, COLAMD_SUB_VERSION, COLAMD_DATE) ; if (knobs [COLAMD_DENSE_ROW] >= 0) { mexPrintf ("knobs(1): %g, rows/cols with > " "max(16,%g*sqrt(size(A,2))) entries removed\n", in_knobs [0], knobs [COLAMD_DENSE_ROW]) ; } else { mexPrintf ("knobs(1): %g, no dense rows removed\n", in_knobs [0]) ; } mexPrintf ("knobs(2): %g, statistics and knobs printed\n", in_knobs [1]) ; } /* === If A is full, convert to a sparse matrix ========================= */ Ainput = (mxArray *) prhs [0] ; if (mxGetNumberOfDimensions (Ainput) != 2) { mexErrMsgTxt ("symamd: input matrix must be 2-dimensional.") ; } full = !mxIsSparse (Ainput) ; if (full) { mexCallMATLAB (1, &Ainput, 1, (mxArray **) prhs, "sparse") ; } /* === Allocate workspace for symamd ==================================== */ /* get size of matrix */ n_row = mxGetM (Ainput) ; n_col = mxGetN (Ainput) ; if (n_col != n_row) { mexErrMsgTxt ("symamd: matrix must be square.") ; } A = (Long *) mxGetIr (Ainput) ; p = (Long *) mxGetJc (Ainput) ; perm = (Long *) mxCalloc (n_col+1, sizeof (Long)) ; /* === Order the rows and columns of A (does not destroy A) ============= */ if (!symamd_l (n_col, A, p, perm, knobs, stats, &mxCalloc, &mxFree)) { symamd_l_report (stats) ; mexErrMsgTxt ("symamd error!") ; } if (full) { mxDestroyArray (Ainput) ; } /* === Return the permutation vector ==================================== */ plhs [0] = mxCreateDoubleMatrix (1, n_col, mxREAL) ; out_perm = mxGetPr (plhs [0]) ; for (i = 0 ; i < n_col ; i++) { /* symamd is 0-based, but MATLAB expects this to be 1-based */ out_perm [i] = perm [i] + 1 ; } mxFree (perm) ; /* === Return the stats vector ========================================== */ /* print stats if spumoni is set */ if (spumoni) { symamd_l_report (stats) ; } if (nlhs == 2) { plhs [1] = mxCreateDoubleMatrix (1, COLAMD_STATS, mxREAL) ; out_stats = mxGetPr (plhs [1]) ; for (i = 0 ; i < COLAMD_STATS ; i++) { out_stats [i] = stats [i] ; } /* fix stats (5) and (6), for 1-based information on jumbled matrix. */ /* note that this correction doesn't occur if symamd returns FALSE */ out_stats [COLAMD_INFO1] ++ ; out_stats [COLAMD_INFO2] ++ ; } }