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Replacing the generator with numpy vector operations from lu_decomposition.
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@ -88,15 +88,19 @@ def lower_upper_decomposition(table: np.ndarray) -> tuple[np.ndarray, np.ndarray
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lower = np.zeros((rows, columns))
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upper = np.zeros((rows, columns))
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# in 'total', the necessary data is extracted through slices
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# and the sum of the products is obtained.
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for i in range(columns):
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for j in range(i):
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total = sum(lower[i][k] * upper[k][j] for k in range(j))
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total = np.sum(lower[i, :i] * upper[:i, j])
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if upper[j][j] == 0:
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raise ArithmeticError("No LU decomposition exists")
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lower[i][j] = (table[i][j] - total) / upper[j][j]
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lower[i][i] = 1
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for j in range(i, columns):
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total = sum(lower[i][k] * upper[k][j] for k in range(j))
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total = np.sum(lower[i, :i] * upper[:i, j])
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upper[i][j] = table[i][j] - total
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return lower, upper
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