Efficiency of exponential time differencing schemes for nonlinear Schrödinger equations
M. Hederi,
A.L. Islas,
K. Reger and
C.M. Schober
Mathematics and Computers in Simulation (MATCOM), 2016, vol. 127, issue C, 101-113
Abstract:
The nonlinear Schrödinger (NLS) equation and its higher order extension (HONLS equation) are used extensively in modeling various phenomena in nonlinear optics and wave mechanics. Fast and accurate nonlinear numerical techniques are needed for further analysis of these models. In this paper, we compare the efficiency of existing Fourier split-step versus exponential time differencing methods in solving the NLS and HONLS equations. Soliton, Stokes wave, large amplitude multiple mode breather, and N-phase solution initial data are considered. To determine the computational efficiency we determine the minimum CPU time required for a given scheme to achieve a specified accuracy in the solution u(x, t) (when an analytical solution is available for comparison) or in one of the associated invariants of the system. Numerical simulations of both the NLS and HONLS equations show that for the initial data considered, the exponential time differencing scheme is computationally more efficient than the Fourier split-step method. Depending on the error measure used, the exponential scheme can be an order of magnitude more efficient than the split-step method.
Keywords: Stiff differential equations; Exponential time differencing methods; Numerical computation of extreme waves (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378475413001572
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:127:y:2016:i:c:p:101-113
DOI: 10.1016/j.matcom.2013.05.013
Access Statistics for this article
Mathematics and Computers in Simulation (MATCOM) is currently edited by Robert Beauwens
More articles in Mathematics and Computers in Simulation (MATCOM) from Elsevier
Bibliographic data for series maintained by Catherine Liu ().