forked from freudenreichan/info2Praktikum-NeuronalesNetz
Matrizen-Funktionen funktionieren wie in Matrix Tests gewünscht
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matrix.c
74
matrix.c
@ -6,11 +6,17 @@
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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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// Falls eine Matrix eine Null Dimension hat leere Matrix ausgeben
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if (rows ==0 || cols == 0){
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Matrix empty = {0, 0, NULL};
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return empty;
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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.buffer = (int *)calloc(rows * cols, sizeof(double));
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matrix.buffer = (MatrixType *)calloc(rows * cols, sizeof(MatrixType));
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return matrix;
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}
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@ -34,30 +40,27 @@ void setMatrixAt(MatrixType value, Matrix matrix, unsigned int rowIdx, unsigned
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MatrixType getMatrixAt(const Matrix matrix, unsigned int rowIdx, unsigned int colIdx)
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{
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// Prüfen ob Indizes im gültigen Bereich sind
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if (rowIdx >= matrix.rows || colIdx >= matrix.cols) {
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return 0;
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}
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// Prüfen ob was im Buffer ist
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if (matrix.buffer == NULL) {
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return 0;
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}
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return matrix.buffer[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.buffer[i] = matrix1.buffer[i] + matrix2.buffer[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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// Broadcasting Fall 1: matrix1 ist ein Spaltenvektor
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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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// 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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@ -68,22 +71,45 @@ Matrix multiply(const Matrix matrix1, const Matrix matrix2)
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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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// Broadcasting Fall 2: matrix2 ist ein Spaltenvektor
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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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MatrixType matrixValue = getMatrixAt(matrix1, i, j);
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MatrixType vectorValue = getMatrixAt(matrix2, i, 0);
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setMatrixAt(matrixValue + vectorValue, 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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// Normale elementweise Addition: Dimensionen müssen übereinstimmen
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else if (matrix1.rows == matrix2.rows && matrix1.cols == matrix2.cols) {
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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.buffer[i] = matrix1.buffer[i] + matrix2.buffer[i];
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}
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return result;
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}
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// Fehlerfall: Dimensionen passen nicht
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else {
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Matrix empty = {0, 0, NULL};
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return empty;
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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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// 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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@ -91,7 +117,7 @@ Matrix multiply(const Matrix matrix1, const Matrix matrix2)
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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 result = createMatrix(matrix1.rows, matrix2.cols);
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// Matrix-Multiplikation durchführen
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for (unsigned int i = 0; i < result.rows; i++) {
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@ -109,5 +135,5 @@ Matrix multiply(const Matrix matrix1, const Matrix matrix2)
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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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