:mod:`ulab.scipy.linalg`
========================

.. py:module:: ulab.scipy.linalg





.. py:function:: solve_triangular(A: ulab.numpy.ndarray, b: ulab.numpy.ndarray, lower: bool) -> ulab.numpy.ndarray

   :param ~ulab.numpy.ndarray A: a matrix
   :param ~ulab.numpy.ndarray b: a vector
   :param ~bool lower: if true, use only data contained in lower triangle of A, else use upper triangle of A
   :return: solution to the system A x = b. Shape of return matches b
   :raises TypeError: if A and b are not of type ndarray and are not dense
   :raises ValueError: if A is a singular matrix

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


.. py:function:: cho_solve(L: ulab.numpy.ndarray, b: ulab.numpy.ndarray) -> ulab.numpy.ndarray

   :param ~ulab.numpy.ndarray L: the lower triangular, Cholesky factorization of A
   :param ~ulab.numpy.ndarray b: right-hand-side vector b
   :return: solution to the system A x = b. Shape of return matches b
   :raises 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