ulab.scipy.linalg

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

Returns

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

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

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

Returns

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