Files
I2-Pr/Neuronales_Netz/matrix.c
T

137 lines
3.1 KiB
C

#include <stdlib.h>
#include <string.h>
#include "matrix.h"
// TODO Matrix-Funktionen implementieren
// typedef struct
// {
// unsigned int *buffer;
// unsigned int rows;
// unsigned int cols;
// } Matrix;
Matrix createMatrix(unsigned int rows, unsigned int cols)
{
if(rows == 0 || cols == 0)
{
Matrix noMatrix = {NULL, 0, 0};
return noMatrix;
}
Matrix matrix = {(MatrixType *)calloc(rows * cols, sizeof(int)) ,rows, cols};
return matrix;
}
void clearMatrix(Matrix *matrix)
{
free(matrix->buffer);
matrix->rows = 0;
matrix->cols = 0;
matrix->buffer = NULL;
}
void setMatrixAt(MatrixType value, Matrix matrix, unsigned int rowIdx, unsigned int colIdx)
{
if(rowIdx >= matrix.rows || colIdx >= matrix.cols)
{
return;
}
matrix.buffer[matrix.cols * rowIdx + colIdx] = value;
}
MatrixType getMatrixAt(const Matrix matrix, unsigned int rowIdx, unsigned int colIdx)
{
if(rowIdx >= matrix.rows || colIdx >= matrix.cols)
{
return UNDEFINED_MATRIX_VALUE;
}
MatrixType matrixAt = matrix.buffer[matrix.cols * rowIdx + colIdx];
return matrixAt;
}
Matrix add(const Matrix matrix1, const Matrix matrix2)
{
if(matrix1.rows == matrix2.rows && matrix1.cols == matrix2.cols)
{
Matrix matrixSum = createMatrix(matrix1.rows, matrix1.cols);
for(int i = 0; i < matrix1.rows; i++)
{
for(int j = 0; j < matrix1.cols; j++)
{
MatrixType value = getMatrixAt(matrix1, i, j) + getMatrixAt(matrix2, i, j);
setMatrixAt(value, matrixSum, i, j);
}
}
return matrixSum;
}
if((matrix1.cols == 1 || matrix2.cols == 1) && matrix1.rows == matrix2.rows)
{
if(matrix1.cols == 1)
{
return broadcasting(matrix2, matrix1);
}
else
{
return broadcasting(matrix1, matrix2);
}
}
Matrix failedMatrix = createMatrix(0, 0);
return failedMatrix;
}
Matrix broadcasting(const Matrix matrix, const Matrix vector)
{
Matrix matrixSum = createMatrix(matrix.rows, matrix.cols);
for(int i = 0; i < vector.rows; i++)
{
for(int j = 0; j < matrix.cols; j++)
{
MatrixType value = getMatrixAt(matrix, i, j) + getMatrixAt(vector, i, 0);
setMatrixAt(value, matrixSum, i, j);
}
}
return matrixSum;
}
Matrix multiply(const Matrix matrix1, const Matrix matrix2)
{
if(matrix1.cols != matrix2.rows)
{
Matrix failedMatrix = createMatrix(0, 0);
return failedMatrix;
}
Matrix matrixRes = createMatrix(matrix1.rows, matrix2.cols);
for(int i = 0; i < matrixRes.rows; i++)
{
for(int j = 0; j < matrixRes.cols; j++)
{
MatrixType sum = 0;
for(int k = 0; k < matrix1.cols; k++)
{
MatrixType product = getMatrixAt(matrix1, i, k) * getMatrixAt(matrix2, k, j);
sum += product;
}
setMatrixAt(sum, matrixRes, i, j);
}
}
return matrixRes;
}