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# scipy.linalg.cho_solve_banded

scipy.linalg.cho_solve_banded(cb_and_lower, b, overwrite_b=False, check_finite=True)

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

  Parameters:
    (cb, lower)tuple, (ndarray, bool)

      cb is the Cholesky factorization of A, as given by cholesky_banded. lower must be the same value that was given to cholesky_banded.

    b array_like

      Right-hand side

    overwrite_b bool, optional

      If True, the function will overwrite the values in b.

    check_finite bool, 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:
    x array

      The solution to the system A x = b

  See also

  `cholesky_banded`

    Cholesky factorization of a banded matrix

  Notes

  New in version 0.8.0.

  Examples

      >>> import numpy as np
      >>> from scipy.linalg import cholesky_banded, cho_solve_banded
      >>> Ab = np.array([[0, 0, 1j, 2, 3j], [0, -1, -2, 3, 4], [9, 8, 7, 6, 9]])
      >>> A = np.diag(Ab[0,2:], k=2) + np.diag(Ab[1,1:], k=1)
      >>> A = A + A.conj().T + np.diag(Ab[2, :])
      >>> c = cholesky_banded(Ab)
      >>> x = cho_solve_banded((c, False), np.ones(5))
      >>> np.allclose(A @ x - np.ones(5), np.zeros(5))
      True