forked from freudenreichan/info2Praktikum-NeuronalesNetz
65 lines
1.3 KiB
C
65 lines
1.3 KiB
C
#include <stdlib.h>
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#include <string.h>
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#include "matrix.h"
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// TODO Matrix-Funktionen implementieren
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Matrix createMatrix(unsigned int rows, unsigned int cols)
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{
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Matrix matrix;
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matrix.rows = rows;
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matrix.cols = cols;
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matrix.data = (MatrixType *)malloc(rows* cols* sizeof(MatrixType));
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if(matrix.data == NULL){
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matrix.rows = 0;
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matrix.cols = 0;
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return matrix;
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}
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for (int i = 0; i < rows; i++)
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{
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for (int j = 0; j < cols; j++)
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{
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matrix.data[i * matrix.cols + j] = UNDEFINED_MATRIX_VALUE;
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}
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}
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}
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void clearMatrix(Matrix *matrix)
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{
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if(matrix->data != NULL)
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{
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free(matrix->data);
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matrix->data = NULL;
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}
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matrix->rows = 0;
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matrix->cols =0;
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}
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void setMatrixAt(MatrixType value, Matrix matrix, unsigned int rowIdx, unsigned int colIdx)
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{
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if(rowIdx >= matrix.rows || colIdx >= matrix.cols)
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{
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fprintf(stderr, "Fehler: Ungültiger Index (%u, %u) bei Matrixgröße %u x %u\n", rowIdx, colIdx, matrix.rows, matrix.cols);
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}
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matrix.data[rowIdx * matrix.cols +colIdx] = value;
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}
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MatrixType getMatrixAt(const Matrix matrix, unsigned int rowIdx, unsigned int colIdx)
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{
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}
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Matrix add(const Matrix matrix1, const Matrix matrix2)
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{
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}
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Matrix multiply(const Matrix matrix1, const Matrix matrix2)
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{
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} |