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fvn_sparse/AMD/Demo/amd_demo2.c
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/* ========================================================================= */ /* === AMD demo main program (jumbled matrix version) ====================== */ /* ========================================================================= */ /* ------------------------------------------------------------------------- */ /* AMD Copyright (c) by 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 */ /* ------------------------------------------------------------------------- */ /* A simple C main program that illustrates the use of the ANSI C interface * to AMD. * * Identical to amd_demo.c, except that it operates on an input matrix that has * unsorted columns and duplicate entries. */ #include "amd.h" #include <stdio.h> #include <stdlib.h> int main (void) { /* The symmetric can_24 Harwell/Boeing matrix (jumbled, and not symmetric). * Since AMD operates on A+A', only A(i,j) or A(j,i) need to be specified, * or both. The diagonal entries are optional (some are missing). * There are many duplicate entries, which must be removed. */ int n = 24, nz, Ap [ ] = { 0, 9, 14, 20, 28, 33, 37, 44, 53, 58, 63, 63, 66, 69, 72, 75, 78, 82, 86, 91, 97, 101, 112, 112, 116 }, Ai [ ] = { /* column 0: */ 0, 17, 18, 21, 5, 12, 5, 0, 13, /* column 1: */ 14, 1, 8, 13, 17, /* column 2: */ 2, 20, 11, 6, 11, 22, /* column 3: */ 3, 3, 10, 7, 18, 18, 15, 19, /* column 4: */ 7, 9, 15, 14, 16, /* column 5: */ 5, 13, 6, 17, /* column 6: */ 5, 0, 11, 6, 12, 6, 23, /* column 7: */ 3, 4, 9, 7, 14, 16, 15, 17, 18, /* column 8: */ 1, 9, 14, 14, 14, /* column 9: */ 7, 13, 8, 1, 17, /* column 10: */ /* column 11: */ 2, 12, 23, /* column 12: */ 5, 11, 12, /* column 13: */ 0, 13, 17, /* column 14: */ 1, 9, 14, /* column 15: */ 3, 15, 16, /* column 16: */ 16, 4, 4, 15, /* column 17: */ 13, 17, 19, 17, /* column 18: */ 15, 17, 19, 9, 10, /* column 19: */ 17, 19, 20, 0, 6, 10, /* column 20: */ 22, 10, 20, 21, /* column 21: */ 6, 2, 10, 19, 20, 11, 21, 22, 22, 22, 22, /* column 22: */ /* column 23: */ 12, 11, 12, 23 } ; int P [24], Pinv [24], i, j, k, jnew, p, inew, result ; double Control [AMD_CONTROL], Info [AMD_INFO] ; char A [24][24] ; printf ("AMD demo, with a jumbled version of the 24-by-24 ") ; printf ("Harwell/Boeing matrix, can_24: ") ; /* get the default parameters, and print them */ amd_defaults (Control) ; amd_control (Control) ; /* print the input matrix */ nz = Ap [n] ; printf (" Jumbled input matrix: %d-by-%d, with %d entries. " " Note that for a symmetric matrix such as this one, only the " " strictly lower or upper triangular parts would need to be " " passed to AMD, since AMD computes the ordering of A+A'. The " " diagonal entries are also not needed, since AMD ignores them. " " This version of the matrix has jumbled columns and duplicate " " row indices. ", n, n, nz) ; for (j = 0 ; j < n ; j++) { printf (" Column: %d, number of entries: %d, with row indices in" " Ai [%d ... %d]: row indices:", j, Ap [j+1] - Ap [j], Ap [j], Ap [j+1]-1) ; for (p = Ap [j] ; p < Ap [j+1] ; p++) { i = Ai [p] ; printf (" %d", i) ; } printf (" ") ; } /* print a character plot of the input matrix. This is only reasonable * because the matrix is small. */ printf (" Plot of (jumbled) input matrix pattern: ") ; for (j = 0 ; j < n ; j++) { for (i = 0 ; i < n ; i++) A [i][j] = '.' ; for (p = Ap [j] ; p < Ap [j+1] ; p++) { i = Ai [p] ; A [i][j] = 'X' ; } } printf (" ") ; for (j = 0 ; j < n ; j++) printf (" %1d", j % 10) ; printf (" ") ; for (i = 0 ; i < n ; i++) { printf ("%2d: ", i) ; for (j = 0 ; j < n ; j++) { printf (" %c", A [i][j]) ; } printf (" ") ; } /* print a character plot of the matrix A+A'. */ printf (" Plot of symmetric matrix to be ordered by amd_order: ") ; for (j = 0 ; j < n ; j++) { for (i = 0 ; i < n ; i++) A [i][j] = '.' ; } for (j = 0 ; j < n ; j++) { A [j][j] = 'X' ; for (p = Ap [j] ; p < Ap [j+1] ; p++) { i = Ai [p] ; A [i][j] = 'X' ; A [j][i] = 'X' ; } } printf (" ") ; for (j = 0 ; j < n ; j++) printf (" %1d", j % 10) ; printf (" ") ; for (i = 0 ; i < n ; i++) { printf ("%2d: ", i) ; for (j = 0 ; j < n ; j++) { printf (" %c", A [i][j]) ; } printf (" ") ; } /* order the matrix */ result = amd_order (n, Ap, Ai, P, Control, Info) ; printf ("return value from amd_order: %d (should be %d) ", result, AMD_OK_BUT_JUMBLED) ; /* print the statistics */ amd_info (Info) ; if (result != AMD_OK_BUT_JUMBLED) { printf ("AMD failed ") ; exit (1) ; } /* print the permutation vector, P, and compute the inverse permutation */ printf ("Permutation vector: ") ; for (k = 0 ; k < n ; k++) { /* row/column j is the kth row/column in the permuted matrix */ j = P [k] ; Pinv [j] = k ; printf (" %2d", j) ; } printf (" ") ; printf ("Inverse permutation vector: ") ; for (j = 0 ; j < n ; j++) { k = Pinv [j] ; printf (" %2d", k) ; } printf (" ") ; /* print a character plot of the permuted matrix. */ printf (" Plot of (symmetrized) permuted matrix pattern: ") ; for (j = 0 ; j < n ; j++) { for (i = 0 ; i < n ; i++) A [i][j] = '.' ; } for (jnew = 0 ; jnew < n ; jnew++) { j = P [jnew] ; A [jnew][jnew] = 'X' ; for (p = Ap [j] ; p < Ap [j+1] ; p++) { inew = Pinv [Ai [p]] ; A [inew][jnew] = 'X' ; A [jnew][inew] = 'X' ; } } printf (" ") ; for (j = 0 ; j < n ; j++) printf (" %1d", j % 10) ; printf (" ") ; for (i = 0 ; i < n ; i++) { printf ("%2d: ", i) ; for (j = 0 ; j < n ; j++) { printf (" %c", A [i][j]) ; } printf (" ") ; } return (0) ; } |