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author | yash1112 | 2017-07-07 21:20:49 +0530 |
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committer | yash1112 | 2017-07-07 21:20:49 +0530 |
commit | 9e5793a7b05b23e6044a6d7a9ddd5db39ba375f0 (patch) | |
tree | f50d6e06d8fe6bc1a9053ef10d4b4d857800ab51 /2.3-1/src/c/matrixOperations/norm/dnorma.c | |
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Diffstat (limited to '2.3-1/src/c/matrixOperations/norm/dnorma.c')
-rw-r--r-- | 2.3-1/src/c/matrixOperations/norm/dnorma.c | 72 |
1 files changed, 72 insertions, 0 deletions
diff --git a/2.3-1/src/c/matrixOperations/norm/dnorma.c b/2.3-1/src/c/matrixOperations/norm/dnorma.c new file mode 100644 index 00000000..c912f857 --- /dev/null +++ b/2.3-1/src/c/matrixOperations/norm/dnorma.c @@ -0,0 +1,72 @@ + /* Copyright (C) 2016 - IIT Bombay - FOSSEE + + This file must be used under the terms of the CeCILL. + This source file is licensed as described in the file COPYING, which + you should have received as part of this distribution. The terms + are also available at + http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt + Author: Siddhesh Wani + Organization: FOSSEE, IIT Bombay + Email: toolbox@scilab.in + */ + + /*This function calculates norms for matrices*/ + /*Acceptable norms are: 1, 2, 'inf', 'fro', */ + +#include "norm.h" +#include <math.h> + +double dnorma (double *in, int row, int col, int norm) +{ + double res = 0, sum = 0; + int col_count, row_count; + + switch (norm) + { + case 1: /*largest column sum*/ + for(col_count = 0; col_count < col; col_count++) + { + sum = 0; + for(row_count = 0; row_count < row; row_count++) + { + sum += in[col_count*row+row_count]; + } + if (sum >= res) + res = sum; + } + break; + + case 2: /*Largest singular value of the matrix*/ + break; + + case 3: /*inf: largest row sum*/ + + for(row_count = 0; row_count < row; row_count++) + { + sum = 0; + for(col_count = 0; col_count < col; col_count++) + { + sum += in[col_count*row + row_count]; + } + if(sum >= res) + res = sum; + } + break; + + case 4: /*Frobenius norm*/ + + for(row_count = 0; row_count < row; row_count++) + { + for(col_count = 0; col_count < col; col_count++) + { + sum += in[col_count*row + row_count] * in[col_count*row + row_count]; + } + } + res = sqrt(sum); + + break; + } + + + return res; +}
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