forked from freudenreichan/info2Praktikum-NeuronalesNetz
first fail fixed
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c560fd5241
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34
matrix.c
34
matrix.c
@ -6,15 +6,13 @@
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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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Matrix m = {0, 0, NULL};
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m.buffer = NULL;
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if (rows > 0 && cols > 0)
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{
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m.rows = rows;
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m.cols = cols;
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if (rows > 0 || cols > 0)
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{
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m.buffer = malloc (rows * cols * sizeof(int));
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m.buffer = malloc(rows * cols * sizeof(int));
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}
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return m;
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@ -23,7 +21,8 @@ Matrix createMatrix(unsigned int rows, unsigned int cols)
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void clearMatrix(Matrix *matrix)
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{
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if (matrix == NULL) {
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if (matrix == NULL)
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{
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return;
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}
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@ -38,21 +37,21 @@ void clearMatrix(Matrix *matrix)
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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.buffer[rowIdx * matrix.cols + colIdx] = value; //setzte Matrix auf den Wert value am Punkt (row col)
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matrix.buffer[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.buffer[rowIdx * matrix.cols + colIdx]; //hole Wert value am Punkt (row col)
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return value = matrix.buffer[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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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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@ -61,21 +60,20 @@ Matrix add(const Matrix matrix1, const Matrix matrix2)
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result.cols = matrix1.cols;
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result.buffer = malloc(result.rows * result.cols * sizeof(MatrixType));
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//wenn buffer nicht allokiert werden kann dann zurücksetzen und abbrechen
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if(result.buffer == NULL)
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// wenn buffer nicht allokiert werden kann dann zurücksetzen und abbrechen
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if (result.buffer == 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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// 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.buffer[i * result.cols + j] = matrix1.buffer[i * matrix1.cols + j] + matrix2.buffer[i * matrix2.cols + j];
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}
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}
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return result;
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@ -85,7 +83,7 @@ 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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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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@ -94,15 +92,15 @@ Matrix multiply(const Matrix matrix1, const Matrix matrix2)
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result.cols = matrix1.cols;
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result.buffer = malloc(result.rows * result.cols * sizeof(MatrixType));
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//wenn buffer nicht allokiert werden kann dann zurücksetzen und abbrechen
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if(result.buffer == NULL)
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// wenn buffer nicht allokiert werden kann dann zurücksetzen und abbrechen
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if (result.buffer == 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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// 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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