C 代码 从稀疏三元组 （ST） 格式转换矩阵 转换为压缩列存储 （CCS） 格式.rar

19 February 2020 11:37:36 AM st_to_ccs_test C version Test the st_to_ccs library. TEST01 Convert a sparse matrix from ST to CCS format. ST: sparse triplet, I, J, A. CCS: compressed column, I, CC, A. Sparse Triplet (ST) header information: Minimum row index I_MIN = 1 Maximum row index I_MAX = 5 Minimum col index J_MIN = 1 Maximum col index J_MAX = 5 Number of rows M = 5 Number of columns N = 5 Number of nonzeros NST = 12 The matrix in ST format: # I J A ---- ---- ---- -------------- 0 0 0 2 1 0 1 3 2 1 0 3 3 1 2 4 4 1 4 6 5 2 1 -1 6 2 2 -3 7 2 3 2 8 3 2 1 9 4 1 4 10 4 2 2 11 4 4 1 Number of CCS values = 12 CCS Matrix: # I J A ---- ---- ---- ---------------- 0 0 0 2 1 1 0 3 2 0 0 3 3 2 0 -1 4 4 0 4 5 1 1 4 6 2 1 -3 7 3 1 1 8 4 1 2 9 2 2 2 10 1 3 6 11 4 3 1 TEST02 Convert a sparse matrix from ST to CCS format. ST: sparse triplet, I, J, A. CCS: compressed column, I, CC, A. This matrix is read from the file 'west_st.txt' Sparse Triplet (ST) header information: Minimum row index I_MIN = 1 Maximum row index I_MAX = 67 Minimum col index J_MIN = 1 Maximum col index J_MAX = 67 Number of rows M = 67 Number of columns N = 67 Number of nonzeros NST = 299 The matrix in ST format: # I J A ---- ---- ---- -------------- 0 44 55 -1.863354 1 54 61 -1.863354 2 29 37 -1.567398 3 44 56 -1.490683 4 54 62 -1.490683 5 9 12 -1.265823 6 29 38 -1.253918 7 44 57 -1.118012 8 54 63 -1.118012 9 15 31 -1.05 10 16 32 -1.05 11 17 33 -1.05 12 18 34 -1.05 13 19 35 -1.05 14 24 31 -1.05 15 25 32 -1.05 16 26 33 -1.05 17 27 34 -1.05 18 28 35 -1.05 19 9 13 -1.012658 20 10 20 -1 21 11 21 -1 22 12 22 -1 23 13 23 -1 24 14 24 -1 25 30 49 -0.9722222 26 31 50 -0.9722222 27 32 51 -0.9722222 28 33 52 -0.9722222 29 34 53 -0.9722222 30 39 49 -0.9722222 31 40 50 -0.9722222 32 41 51 -0.9722222 33 42 52 -0.9722222 34 43 53 -0.9722222 35 35 25 -0.9583187 36 36 26 -0.9583187 37 37 27 -0.9583187 38 38 28 -0.9583187 39 49 55 -0.9444444 40 50 56 -0.9444444 41 51 57 -0.9444444 42 52 58 -0.9444444 43 53 59 -0.9444444 44 29 39 -0.9404389 45 20 1 -0.9159533 46 21 2 -0.9159533 47 22 3 -0.9159533 48 23 4 -0.9159533 49 0 7 -0.8341818 50 1 8 -0.8341818 51 2 9 -0.8341818 52 3 10 -0.8341818 53 45 43 -0.8242248 54 46 44 -0.8242248 55 47 45 -0.8242248 56 48 46 -0.8242248 57 4 1 -0.8 58 5 2 -0.8 59 6 3 -0.8 60 7 4 -0.8 61 8 5 -0.8 62 9 14 -0.7594937 63 44 58 -0.7453416 64 54 64 -0.7453416 65 29 40 -0.6269592 66 9 15 -0.5063291 67 44 59 -0.3726708 68 54 65 -0.3726708 69 0 17 -0.3361556 70 29 41 -0.3134796 71 1 17 -0.2939196 72 20 42 -0.2788416 73 4 0 -0.2788416 74 21 42 -0.2680186 75 5 0 -0.2680186 76 52 54 -0.2667757 77 53 54 -0.2630706 78 48 66 -0.2541193 79 9 16 -0.2531646 80 37 60 -0.2475675 81 47 66 -0.2421498 82 33 48 -0.2362845 83 42 48 -0.2362845 84 36 60 -0.2356469 85 22 42 -0.2323717 86 6 0 -0.2323717 87 32 48 -0.2303917 88 41 48 -0.2303917 89 17 30 -0.2286264 90 26 30 -0.2286264 91 16 30 -0.2232997 92 25 30 -0.2232997 93 2 17 -0.2214815 94 12 19 -0.2144206 95 11 19 -0.2140392 96 51 54 -0.2122056 97 38 60 -0.2074873 98 10 19 -0.2071759 99 15 30 -0.2070986 100 24 30 -0.2070986 101 35 60 -0.2069954 102 18 30 -0.2024528 103 27 30 -0.2024528 104 13 19 -0.1986768 105 31 48 -0.1947711 106 40 48 -0.1947711 107 46 66 -0.1918557 108 34 48 -0.18039 109 43 48 -0.18039 110 14 19 -0.1656874 111 30 48 -0.1581626 112 39 48 -0.1581626 113 23 42 -0.1575082 114 7 0 -0.1575082 115 50 54 -0.1514908 116 45 66 -0.1443354 117 19 30 -0.1385226 118 28 30 -0.1385226 119 3 17 -0.118986 120 49 54 -0.1064573 121 8 0 -0.06325978 122 8 6 0.01178291 123 28 0 0.03162989 124 7 6 0.047594391 125 39 54 0.053228639 126 40 54 0.075745419 127 27 0 0.078754112 128 24 36 0.08147449 129 6 6 0.088592619 130 30 36 0.090527207 131 28 36 0.092419088 132 25 36 0.097890154 133 19 19 0.099412464 134 34 36 0.1026879 135 41 54 0.1061028 136 31 36 0.1087668 137 26 36 0.1131608 138 27 36 0.1150555 139 26 0 0.1161859 140 5 6 0.1175679 141 18 19 0.1192061 142 15 19 0.1243055 143 32 36 0.1257342 144 33 36 0.1278394 145 16 19 0.1284235 146 17 19 0.1286524 147 43 54 0.1315353 148 42 54 0.1333878 149 25 0 0.1340093 150 4 6 0.1344622 151 24 0 0.1394208 152 30 43 0.25 153 31 44 0.25 154 32 45 0.25 155 33 46 0.25 156 34 47 0.25 157 10 12 0.3333333 158 11 13 0.3333333 159 12 14