timflow.transient.invlapnumba.invlap ==================================== .. py:function:: timflow.transient.invlapnumba.invlap(t, tmax, fp, M, alpha=1e-10, tol=1e-09) Inverse Laplace tansform with algorithm of De Hoog, Knight and Stokes. :param t: times for which inverse is computed :type t: array :param tmax: maximum time :type tmax: float :param fp: Laplace transformed solution :type fp: complex array :param M: number of terms (number of values of fp) :type M: integer :param alpha: is chosen based on the desired accuracy (assuming the rightmost singularity is 0), and tol=10α is the desired tolerance :type alpha: is the real part of the rightmost pole or singularity, which :returns: * **result** (*array*) -- time domain solution for specified times * *Reference* * *---------* * *de Hoog, F., J. Knight, A. Stokes (1982). An improved method for* * *numerical inversion of Laplace transforms. SIAM Journal of Scientific* * **and Statistical Computing 3** (*357-366, http://dx.doi.org/10.1137/0903022*) * **https** (*//bitbucket.org/klkuhlm/invlap/src/default/invlap.py*) .. !! processed by numpydoc !!