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/* 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>
float dnorma (float *in, int row, int col, int norm)
{
float 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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