info2Praktikum-NeuronalesNetzBastiBjoern/matrix.c

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

// TODO Matrix-Funktionen implementieren

Matrix createMatrix(unsigned int rows, unsigned int cols)
{
    // Allocate memory for the matrix structure
    Matrix matrix;  
    matrix.rows = rows;
    matrix.cols = cols;
    matrix.data = (MatrixType *)malloc(rows * cols * sizeof(MatrixType));
    if (matrix.data == NULL) 
    {
        // Handle memory allocation failure
        matrix.rows = 0;
        matrix.cols = 0;
    }
}

void clearMatrix(Matrix *matrix)
{
    // Free the allocated memory for the matrix data
    if (matrix->data != NULL)   
    {
        free(matrix->data);
        matrix->data = NULL;
        matrix->rows = 0;
        matrix->cols = 0;
    }
}

void setMatrixAt(MatrixType value, Matrix matrix, unsigned int rowIdx, unsigned int colIdx)
{
   // Set the value at the specified row and column index
    if (rowIdx < matrix.rows && colIdx < matrix.cols) 
    {
         matrix.data[rowIdx * matrix.cols + colIdx] = value;
    }
}

MatrixType getMatrixAt(const Matrix matrix, unsigned int rowIdx, unsigned int colIdx)
{
    // Get the value at the specified row and column index
    if (rowIdx < matrix.rows && colIdx < matrix.cols) 
    {
        return matrix.data[rowIdx * matrix.cols + colIdx];
    }
}

Matrix add(const Matrix matrix1, const Matrix matrix2)
{
    // Add two matrices and return the result
    if (matrix1.rows != matrix2.rows || matrix1.cols != matrix2.cols) 
    {
        // Handle dimension mismatch
        Matrix emptyMatrix = createMatrix(0, 0);
        return emptyMatrix;
    }
}

Matrix multiply(const Matrix matrix1, const Matrix matrix2)
{
    // Multiply two matrices and return the result
    if (matrix1.cols != matrix2.rows) 
    {
        // Handle dimension mismatch
        Matrix emptyMatrix = createMatrix(0, 0);
        return emptyMatrix;
    }
}