generated from freudenreichan/info2Praktikum-NeuronalesNetz
matrix.c aktualisiert
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matrix.c
71
matrix.c
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#include <stdlib.h>
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#include <string.h>
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#include "matrix.h"
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#include "matrix.h"
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#include <stdlib.h>
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// TODO Matrix-Funktionen implementieren
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// Matrix erstellen
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Matrix createMatrix(unsigned int rows, unsigned int cols)
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Matrix createMatrix(unsigned int rows, unsigned int cols)
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{
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{
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Matrix m;
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if (rows == 0 || cols == 0) {
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m.rows = 0;
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m.cols = 0;
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m.buffer = NULL;
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return m;
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}
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m.rows = rows;
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m.cols = cols;
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m.buffer = (MatrixType*)calloc(rows * cols, sizeof(MatrixType));
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if (!m.buffer) {
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m.rows = 0;
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m.cols = 0;
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}
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return m;
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}
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}
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// Speicher freigeben
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void clearMatrix(Matrix *matrix)
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void clearMatrix(Matrix *matrix)
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{
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{
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if (!matrix || !matrix->buffer) return;
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free(matrix->buffer);
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matrix->buffer = NULL;
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matrix->rows = 0;
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matrix->cols = 0;
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}
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}
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// Wert setzen
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void setMatrixAt(MatrixType value, Matrix matrix, unsigned int rowIdx, unsigned int colIdx)
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void setMatrixAt(MatrixType value, Matrix matrix, unsigned int rowIdx, unsigned int colIdx)
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{
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{
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if (rowIdx >= matrix.rows || colIdx >= matrix.cols) return;
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matrix.buffer[rowIdx * matrix.cols + colIdx] = value;
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}
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}
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// Wert auslesen
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MatrixType getMatrixAt(const Matrix matrix, unsigned int rowIdx, unsigned int colIdx)
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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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if (rowIdx >= matrix.rows || colIdx >= matrix.cols) return UNDEFINED_MATRIX_VALUE;
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return matrix.buffer[rowIdx * matrix.cols + colIdx];
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}
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}
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// Addition
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Matrix add(const Matrix matrix1, const Matrix matrix2)
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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 result;
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if (matrix1.rows != matrix2.rows || matrix1.cols != matrix2.cols) {
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result.rows = 0;
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result.cols = 0;
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result.buffer = NULL;
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return result;
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}
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result = createMatrix(matrix1.rows, matrix1.cols);
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for (unsigned int i = 0; i < matrix1.rows * matrix1.cols; i++)
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result.buffer[i] = matrix1.buffer[i] + matrix2.buffer[i];
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return result;
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}
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}
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// Multiplikation
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Matrix multiply(const Matrix matrix1, const Matrix matrix2)
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Matrix multiply(const Matrix matrix1, const Matrix matrix2)
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{
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{
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Matrix result;
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if (matrix1.cols != matrix2.rows) {
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result.rows = 0;
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result.cols = 0;
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result.buffer = NULL;
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return result;
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}
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result = createMatrix(matrix1.rows, matrix2.cols);
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for (unsigned int i = 0; i < matrix1.rows; i++)
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{
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for (unsigned int j = 0; j < matrix2.cols; j++)
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{
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MatrixType sum = 0;
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for (unsigned int k = 0; k < matrix1.cols; k++)
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sum += matrix1.buffer[i * matrix1.cols + k] * matrix2.buffer[k * matrix2.cols + j];
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result.buffer[i * result.cols + j] = sum;
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}
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}
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return result;
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}
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}
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