info2Praktikum-NeuronalesNetz/Startcode/matrix.c

#include <stdlib.h>
#include <string.h>
#include "matrix.h"

// TODO Matrix-Funktionen implementieren

int getMatrixIndex(unsigned int cols, unsigned int rowIdx, unsigned int colIdx)
{
    return rowIdx * cols + colIdx;
}

Matrix createMatrix(unsigned int rows, unsigned int cols)
{
    Matrix* m = malloc(sizeof(Matrix));
    m->rows = rows;
    m->cols = cols;
    m->storage = malloc(rows * cols * sizeof(MatrixType));
    return m;
}

void clearMatrix(Matrix *matrix)
{
    for (int i = 0; i < matrix->rows; i++)
    {
        for (int j = 0; j < matrix->cols; j++)
        {
            setMatrixElement(matrix, i, j, UNDEFINED_MATRIX_VALUE);
        }
    }
}

void setMatrixAt(MatrixType value, Matrix matrix, unsigned int rowIdx, unsigned int colIdx)
{
    matrix.storage[getMatrixIndex(matrix.cols, rowIdx, colIdx)] = value;
}

MatrixType getMatrixAt(const Matrix matrix, unsigned int rowIdx, unsigned int colIdx)
{
    return matrix.storage[getMatrixIndex(matrix->cols, rowIdx, colIdx)];
}

Matrix add(const Matrix matrix1, const Matrix matrix2)
{
    if (matrix1.rows != matrix2.rows || matrix1.cols != matrix2.cols)
    {
        return matrix1;
    }

    Matrix result = createMatrix(matrix1.rows, matrix1.cols);

    for (unsigned int i = 0; i < matrix1.rows; i++)
    {
        for (unsigned int j = 0; j < matrix1.cols; j++)
        {
            unsigned int index = getMatrixIndex(matrix1.cols, i, j);
            result.storage[index] = matrix1.storage[index] + matrix2.storage[index];
        }
    }

    return result;
}

Matrix multiply(const Matrix matrix1, const Matrix matrix2)
{
    
}