generated from freudenreichan/info2Praktikum-NeuronalesNetz
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fd27247a44 | ||
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b06bbd0de0 | ||
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5fcf897795 | ||
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f34b966f9a | ||
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eda98eb343 |
@@ -114,6 +114,7 @@ Matrix add(const Matrix matrix1, const Matrix matrix2)
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return createMatrix(0, 0);
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return createMatrix(0, 0);
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}
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}
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for(unsigned int i = 0; i < resRows; ++i)
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for(unsigned int i = 0; i < resRows; ++i)
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{
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{
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for(unsigned int j = 0; j < resCols; ++j)
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for(unsigned int j = 0; j < resCols; ++j)
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@@ -124,6 +125,7 @@ Matrix add(const Matrix matrix1, const Matrix matrix2)
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unsigned int i2 = (matrix2.rows == 1) ? 0 : i;
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unsigned int i2 = (matrix2.rows == 1) ? 0 : i;
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unsigned int j2 = (matrix2.cols == 1) ? 0 : j;
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unsigned int j2 = (matrix2.cols == 1) ? 0 : j;
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MatrixType val = getMatrixAt(matrix1, i1, j1) + getMatrixAt(matrix2, i2, j2);
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MatrixType val = getMatrixAt(matrix1, i1, j1) + getMatrixAt(matrix2, i2, j2);
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setMatrixAt(val, &result, i, j);
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setMatrixAt(val, &result, i, j);
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}
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}
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