ulab.scipy.linalg

ulab.scipy.linalg.solve_triangular(A: ulab.numpy.ndarray, b: ulab.numpy.ndarray, lower: bool) → ulab.numpy.ndarray

Paramètres:

• A (ndarray) – a matrix

• b (ndarray) – a vector

• lower (~bool) – if true, use only data contained in lower triangle of A, else use upper triangle of A

Renvoie:

solution to the system A x = b. Shape of return matches b

Lève:

• TypeError – if A and b are not of type ndarray and are not dense

• ValueError – if A is a singular matrix

Solve the equation A x = b for x, assuming A is a triangular matrix

ulab.scipy.linalg.cho_solve(L: ulab.numpy.ndarray, b: ulab.numpy.ndarray) → ulab.numpy.ndarray

Paramètres:

• L (ndarray) – the lower triangular, Cholesky factorization of A

• b (ndarray) – right-hand-side vector b

Renvoie:

solution to the system A x = b. Shape of return matches b

Lève:

TypeError – if L and b are not of type ndarray and are not dense

Solve the linear equations A x = b, given the Cholesky factorization of A as input