forked from freudenreichan/info2Praktikum-NeuronalesNetz
113 lines
3.6 KiB
C
113 lines
3.6 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 erstellen
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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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// Speicher erstellen und nullsetzen
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matrix.data = (double *)calloc(rows * cols, sizeof(double));
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return matrix;
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}
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// Matrix Speicher freigeben
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void clearMatrix(Matrix *matrix)
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{
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if (matrix != NULL && matrix->data != NULL) {
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free(matrix->data);
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matrix->data = 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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// Matrix muss von 2D in 1D umgewandelt werden deswegen (Zeile* Anzahl Spalten + Spalte)
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// um an entsprechende Speicheradresse zu kommen
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void setMatrixAt(MatrixType value, Matrix matrix, unsigned int rowIdx, unsigned int colIdx)
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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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return matrix.data[rowIdx * matrix.cols + colIdx];
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}
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Matrix add(const Matrix matrix1, const Matrix matrix2)
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{
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// Neue Matrix mit passender Dimension erstellen
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Matrix result = createMatrix(matrix1.rows, matrix1.cols);
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// Alle Elemente einzeln addieren
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for (unsigned int i = 0; i < matrix1.rows * matrix1.cols; i++) {
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result.data[i] = matrix1.data[i] + matrix2.data[i];
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}
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return result;
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}
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Matrix multiply(const Matrix matrix1, const Matrix matrix2)
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{
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if (matrix1.cols == 1 && matrix1.rows == matrix2.rows) {
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// Neue Matrix mit passender Dimension erstellen
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Matrix result = createMatrix(matrix2.rows, matrix2.cols);
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// Vektor zu jeder Spalte addieren
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for (unsigned int i = 0; i < result.rows; i++) {
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for (unsigned int j = 0; j < result.cols; j++) {
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MatrixType vectorValue = getMatrixAt(matrix1, i, 0);
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MatrixType matrixValue = getMatrixAt(matrix2, i, j);
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setMatrixAt(vectorValue + matrixValue, result, i, j);
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}
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}
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return result;
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}
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else if (matrix2.cols == 1 && matrix2.rows == matrix1.rows){
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// Neue Matrix mit passender Dimension erstellen
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Matrix result = createMatrix(matrix1.rows, matrix1.cols);
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// Vektor zu jeder Spalte addieren
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for (unsigned int i = 0; i < result.rows; i++) {
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for (unsigned int j = 0; j < result.cols; j++) {
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MatrixType vectorValue = getMatrixAt(matrix1, i, j);
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MatrixType matrixValue = getMatrixAt(matrix2, i, 0);
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setMatrixAt(vectorValue + matrixValue, result, i, j);
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}
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}
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return result;
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}
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else {
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// Prüfen ob Matrizen multipiziert werden können
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if (matrix1.cols != matrix2.rows) {
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// Fehlerfall: Leere Matrix zurückgeben
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Matrix empty = {0, 0, NULL};
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return empty;
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}
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// Neue Matrix mit passender Dimension erstellen
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Matrix result = createMatrix(matrix1.cols, matrix2.rows);
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// Matrix-Multiplikation durchführen
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for (unsigned int i = 0; i < result.rows; i++) {
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for (unsigned int j = 0; j < result.cols; j++) {
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MatrixType sum = 0.0;
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// Skalarprodukt der i-ten Zeile mit j-ter Spalte
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for (unsigned int k = 0; k < matrix1.cols; k++) {
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MatrixType a = getMatrixAt(matrix1, i, k);
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MatrixType b = getMatrixAt(matrix2, k, j);
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sum += a * b;
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}
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setMatrixAt(sum, result, i, j);
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}
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}
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return result;
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}
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} |