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fvn_sparse/AMD/MATLAB/amd_mex.c
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/* ========================================================================= */ /* === AMD mexFunction ===================================================== */ /* ========================================================================= */ /* ------------------------------------------------------------------------- */ /* AMD, Copyright (c) Timothy A. Davis, */ /* Patrick R. Amestoy, and Iain S. Duff. See ../README.txt for License. */ /* email: davis at cise.ufl.edu CISE Department, Univ. of Florida. */ /* web: http://www.cise.ufl.edu/research/sparse/amd */ /* ------------------------------------------------------------------------- */ /* * Usage: * p = amd (A) * p = amd (A, Control) * [p, Info] = amd (A) * [p, Info] = amd (A, Control) * Control = amd ; % return the default Control settings for AMD * amd ; % print the default Control settings for AMD * * Given a square matrix A, compute a permutation P suitable for a Cholesky * factorization of the matrix B (P,P), where B = spones (A) + spones (A'). * The method used is the approximate minimum degree ordering method. See * amd.m and amd.h for more information. * * The input matrix need not have sorted columns, and can have duplicate * entries. */ #include "amd.h" #include "mex.h" #include "matrix.h" #include "UFconfig.h" void mexFunction ( int nargout, mxArray *pargout [ ], int nargin, const mxArray *pargin [ ] ) { UF_long i, m, n, *Ap, *Ai, *P, nc, result, spumoni, full ; double *Pout, *InfoOut, Control [AMD_CONTROL], Info [AMD_INFO], *ControlIn ; mxArray *A ; /* --------------------------------------------------------------------- */ /* get control parameters */ /* --------------------------------------------------------------------- */ amd_malloc = mxMalloc ; amd_free = mxFree ; amd_calloc = mxCalloc ; amd_realloc = mxRealloc ; amd_printf = mexPrintf ; spumoni = 0 ; if (nargin == 0) { /* get the default control parameters, and return */ pargout [0] = mxCreateDoubleMatrix (AMD_CONTROL, 1, mxREAL) ; amd_l_defaults (mxGetPr (pargout [0])) ; if (nargout == 0) { amd_l_control (mxGetPr (pargout [0])) ; } return ; } amd_l_defaults (Control) ; if (nargin > 1) { ControlIn = mxGetPr (pargin [1]) ; nc = mxGetM (pargin [1]) * mxGetN (pargin [1]) ; Control [AMD_DENSE] = (nc > 0) ? ControlIn [AMD_DENSE] : AMD_DEFAULT_DENSE ; Control [AMD_AGGRESSIVE] = (nc > 1) ? ControlIn [AMD_AGGRESSIVE] : AMD_DEFAULT_AGGRESSIVE ; spumoni = (nc > 2) ? (ControlIn [2] != 0) : 0 ; } if (spumoni > 0) { amd_l_control (Control) ; } /* --------------------------------------------------------------------- */ /* get inputs */ /* --------------------------------------------------------------------- */ if (nargout > 2 || nargin > 2) { mexErrMsgTxt ("Usage: p = amd (A) or [p, Info] = amd (A, Control)") ; } A = (mxArray *) pargin [0] ; n = mxGetN (A) ; m = mxGetM (A) ; if (spumoni > 0) { mexPrintf (" input matrix A is %d-by-%d ", m, n) ; } if (mxGetNumberOfDimensions (A) != 2) { mexErrMsgTxt ("amd: A must be 2-dimensional") ; } if (m != n) { mexErrMsgTxt ("amd: A must be square") ; } /* --------------------------------------------------------------------- */ /* allocate workspace for output permutation */ /* --------------------------------------------------------------------- */ P = mxMalloc ((n+1) * sizeof (UF_long)) ; /* --------------------------------------------------------------------- */ /* if A is full, convert to a sparse matrix */ /* --------------------------------------------------------------------- */ full = !mxIsSparse (A) ; if (full) { if (spumoni > 0) { mexPrintf ( " input matrix A is full (sparse copy of A will be created) "); } mexCallMATLAB (1, &A, 1, (mxArray **) pargin, "sparse") ; } Ap = (UF_long *) mxGetJc (A) ; Ai = (UF_long *) mxGetIr (A) ; if (spumoni > 0) { mexPrintf (" input matrix A has %d nonzero entries ", Ap [n]) ; } /* --------------------------------------------------------------------- */ /* order the matrix */ /* --------------------------------------------------------------------- */ result = amd_l_order (n, Ap, Ai, P, Control, Info) ; /* --------------------------------------------------------------------- */ /* if A is full, free the sparse copy of A */ /* --------------------------------------------------------------------- */ if (full) { mxDestroyArray (A) ; } /* --------------------------------------------------------------------- */ /* print results (including return value) */ /* --------------------------------------------------------------------- */ if (spumoni > 0) { amd_l_info (Info) ; } /* --------------------------------------------------------------------- */ /* check error conditions */ /* --------------------------------------------------------------------- */ if (result == AMD_OUT_OF_MEMORY) { mexErrMsgTxt ("amd: out of memory") ; } else if (result == AMD_INVALID) { mexErrMsgTxt ("amd: input matrix A is corrupted") ; } /* --------------------------------------------------------------------- */ /* copy the outputs to MATLAB */ /* --------------------------------------------------------------------- */ /* output permutation, P */ pargout [0] = mxCreateDoubleMatrix (1, n, mxREAL) ; Pout = mxGetPr (pargout [0]) ; for (i = 0 ; i < n ; i++) { Pout [i] = P [i] + 1 ; /* change to 1-based indexing for MATLAB */ } mxFree (P) ; /* Info */ if (nargout > 1) { pargout [1] = mxCreateDoubleMatrix (AMD_INFO, 1, mxREAL) ; InfoOut = mxGetPr (pargout [1]) ; for (i = 0 ; i < AMD_INFO ; i++) { InfoOut [i] = Info [i] ; } } } |