forked from freudenreichan/info2Praktikum-NeuronalesNetz
114 lines
2.7 KiB
C
114 lines
2.7 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 m;
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m.rows = rows;
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m.cols = cols;
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m.data = malloc (rows * cols * sizeof(int));
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}
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void clearMatrix(Matrix *matrix)
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{
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if (matrix == NULL) {
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return;
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}
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// Speicher freigeben, falls vorhanden
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free(matrix->data);
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matrix->data = NULL;
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// Metadaten zurücksetzen
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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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matrix.data[rowIdx * matrix.cols + colIdx] = value; //setzte Matrix auf den Wert value am Punkt (row col)
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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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MatrixType value = 0;
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return value = matrix.data[rowIdx * matrix.cols + colIdx]; //hole Wert value am Punkt (row col)
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}
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Matrix add(const Matrix matrix1, const Matrix matrix2)
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{
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Matrix result = {0};
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if(matrix1.rows != matrix2.rows || matrix1.cols != matrix2.cols)
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{
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return result;
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}
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result.rows = matrix1.rows;
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result.cols = matrix1.cols;
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result.data = malloc(result.rows * result.cols * sizeof(MatrixType));
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//wenn Data nicht allokiert werden kann dann zurücksetzen und abbrechen
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if(result.data == NULL)
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{
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result.rows = result.cols = 0;
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return result;
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}
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//Matritzenaddition
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for (unsigned int i = 0; i < result.rows; i++)
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{
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for (unsigned int j = 0; j < result.cols; j++)
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{
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result.data[i * result.cols + j] = matrix1.data[i * matrix1.cols + j] + matrix2.data[i * matrix2.cols + j];
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}
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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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Matrix result = {0};
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if(matrix1.rows != matrix2.rows || matrix1.cols != matrix2.cols)
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{
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return result;
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}
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result.rows = matrix1.rows;
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result.cols = matrix1.cols;
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result.data = malloc(result.rows * result.cols * sizeof(MatrixType));
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//wenn Data nicht allokiert werden kann dann zurücksetzen und abbrechen
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if(result.data == NULL)
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{
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result.rows = result.cols = 0;
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return result;
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}
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//Matritzenmultiplikation
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for (unsigned int i = 0; i < result.rows; i++)
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{
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for (unsigned int j = 0; j < result.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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{
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sum += matrix1.data[i * matrix1.cols + k] * matrix2.data[k * matrix2.cols + j];
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}
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result.data[i * result.cols + j] = sum;
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}
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}
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return result;
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} |