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Alex Rivera
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In numpy / scipy , what's the canonical way to compute the inverse of an upper triangular matrix? The matrix is stored as 2D numpy array with zero sub-diagonal elements, and the result should also be stored as a 2D array. edit The best I've found so far is scipy.linalg.solve_triangular(A, np.identity(n)) . Is that it?
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