Solve the system \(Ax = b\), where \(A\) is triangular.
This is equivalent to scipy.linalg.solve_triangular(), but does not
check for non-singularity. It is a thin wrapper around the BLAS dtrsv
function.
Parameters
A (ndarray) – the matrix.
b (ndarray) – the taget vector.
transpose (bool) – whether to solve \(Ax = b\) or \(A^T x = b\).
lower (bool) – whether \(A\) is lower- or upper-triangular.