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matrix_norms.h
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/**
* @file
*/
/*
* Copyright (c) 2016 Andrei Parente
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
**/
#ifndef MATRIX_NORMS_H
#define MATRIX_NORMS_H
#include "matrix.h"
/**
* Calcula a norma de frobenius de mat
* @author Andrei Parente
*/
static double frobenius_norm(const matrix_t *mat)
{
double norm = 0;
size_t i;
for (i = 0; i < mat->rows; ++i) {
size_t j;
for (j = 0; j < mat->columns; ++j) {
norm += pow(matrix_get_at(mat, i, j), 2);
}
}
return sqrt(norm);
}
/**
* Calcula a norma linha de mat
* @author Andrei Parente
*/
static double row_norm(const matrix_t *mat)
{
double sum = 0,
norm = 0;
size_t i;
for (i = 0; i < mat->rows; ++i) {
size_t j;
for (j = 0; j < mat->columns; ++j) {
if (matrix_get_at(mat, i, j) >= 0) {
sum += matrix_get_at(mat, i, j);
} else {
sum -= matrix_get_at(mat, i, j);
}
if (sum > norm) {
norm = sum;
}
}
sum = 0;
}
return norm;
}
/**
* Calcula a norma coluna de mat
* @author Andrei Parente
*/
static double column_norm(const matrix_t *mat)
{
double sum = 0,
norm = 0;
size_t j;
for (j = 0; j < mat->columns; ++j) {
size_t i;
for (i = 0; i < mat->rows; ++i) {
if (matrix_get_at(mat, i, j) >= 0) {
sum += matrix_get_at(mat, i, j);
} else {
sum -= matrix_get_at(mat, i, j);
}
if (sum > norm) {
norm = sum;
}
}
sum = 0;
}
return norm;
}
/**
* NORMA 1: Vetor
* Soma das magnetudes
*
* @param vector, Vetor numa matriz linha
* @return norma magnetude
*
* @author Pedro da Luz
*/
static double vector_norm1(const matrix_t* vector)
{
double accumulator = 0;
size_t i;
assert(vector->rows == 1);
for(i = 0; i < vector->columns; i++)
{
accumulator += fabs(matrix_get_at(vector, 0, i));
}
return accumulator;
}
/**
* NORMA 2: Vetor
* Norma Euclideana
*
* @param vector, Vetor numa matriz linha
* @return norma euclidiana
*
* @author Pedro da Luz
*/
static double vector_norm2(const matrix_t* vector)
{
double accumulator = 0;
size_t i;
assert(vector->rows == 1);
for(i = 0; i < vector->columns; i++)
{
accumulator += pow(matrix_get_at(vector, 0, i), 2);
}
return sqrt(accumulator);
}
/**
* NORMA INFINITO: Vetor
* Norma máxima de magnitude
*
* @param vector, Vetor numa matriz linha
* @return norma infinito
*
* @author Pedro da Luz
*/
static double vector_infinityNorm(const matrix_t* vector)
{
double max = 0;
size_t i;
assert(vector->rows == 1);
for(i = 0; i < vector->columns; i++)
{
double element;
element = matrix_get_at(vector, 0, i);
if(element < 0)
{
element = fabs(element);
}
if(element > max)
{
max = element;
}
}
return max;
}
#endif