generated from freudenreichan/info2Praktikum-NeuronalesNetz
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0a549b7e0d
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| 0a549b7e0d | |||
| c99db0f96c |
15
matrix.c
15
matrix.c
@ -108,11 +108,17 @@ Matrix add(const Matrix matrix1, const Matrix matrix2)
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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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Matrix result;
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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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if (matrix1.cols != matrix2.rows) {
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return result;
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}
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result.rows = matrix1.rows;
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result.rows = matrix1.rows;
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result.cols = matrix2.cols;
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result.cols = matrix2.cols;
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if (matrix1.rows == matrix2.cols) {
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result.buffer = malloc(result.rows * result.cols * sizeof(MatrixType));
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result.buffer = malloc(result.rows * result.cols * sizeof(MatrixType));
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for(int i = 0; i < result.rows; i++) {
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for(int i = 0; i < result.rows; i++) {
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@ -121,11 +127,8 @@ Matrix multiply(const Matrix matrix1, const Matrix matrix2)
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for(int k = 0; k < matrix1.cols; k++) {
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for(int k = 0; k < matrix1.cols; k++) {
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value += matrix1.buffer[i * matrix1.cols + k] * matrix2.buffer[k * matrix2.cols + j];
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value += matrix1.buffer[i * matrix1.cols + k] * matrix2.buffer[k * matrix2.cols + j];
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}
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}
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result.buffer[i * matrix1.cols + j] = value;
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result.buffer[i * result.cols + j] = value;
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}
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}
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}
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}
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return result;
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return result;
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}
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printf("Die angegebenen Matrizen haben keine passenden Dimensionen für die Multiplikation");
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return result;
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}
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}
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