import numpy as np
import scipy
[ドキュメント]def gauss_elim(L, t):
"""
Calculate alpha using scipy.linalg.solve_triangular.
alpha = (L^T L)^-1 t = L^-1 [(L^T)-1 t]
Parameters
----------
L: (M, M) array_like
A triangular matrix
t: (M,) or (M, N) array_like
Returns
-------
alpha: numpy.ndarray
Solution to the system L^T alpha = t. Shape of return matches t.
"""
alpha = scipy.linalg.solve_triangular(
L.transpose(), t, lower=True, overwrite_b=False, check_finite=False
)
alpha = scipy.linalg.solve_triangular(
L, alpha, lower=False, overwrite_b=False, check_finite=False
)
return alpha