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scipy.linalg.

# cho_solve

scipy.linalg.cho_solve(c_and_lower, b, overwrite_b=False, check_finite=True)

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

  Parameters:
    (c, lower)tuple, (array, bool)

      Cholesky factorization of a, as given by cho_factor

    barray

      Right-hand side

    overwrite_bbool, optional

      Whether to overwrite data in b (may improve performance)

    check_finitebool, optional

      Whether to check that the input matrices contain only finite numbers. Disabling may give a performance gain, but may result in problems (crashes, non-termination) if the inputs do contain infinities or NaNs.

  Returns:
    xarray

      The solution to the system A x = b

  See also

  `cho_factor`

    Cholesky factorization of a matrix

  Examples

      >>> import numpy as np
      >>> from scipy.linalg import cho_factor, cho_solve
      >>> A = np.array([[9, 3, 1, 5], [3, 7, 5, 1], [1, 5, 9, 2], [5, 1, 2, 6]])
      >>> c, low = cho_factor(A)
      >>> x = cho_solve((c, low), [1, 1, 1, 1])
      >>> np.allclose(A @ x - [1, 1, 1, 1], np.zeros(4))
      True