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We present several methods, which utilize symplectic integration techniques based on two and three part operator splitting, for numerically solving the equations of motion of the disordered, discrete nonlinear Schrodinger (DDNLS) equation, and compare their efficiency. Our results suggest that the most suitable methods for the very long time integration of this one-dimensional Hamiltonian lattice model with many degrees of freedom (of the order of a few hundreds) are the ones based on three part splits of the systems Hamiltonian. Two part split techniques can be preferred for relatively small lattices having up to $Napprox;$70 sites. An advantage of the latter methods is the better conservation of the systems second integral, i.e. the wave packets norm.
We implement several symplectic integrators, which are based on two part splitting, for studying the chaotic behavior of one- and two-dimensional disordered Klein-Gordon lattices with many degrees of freedom and investigate their numerical performanc
With Monte Carlo methods, we investigate the universality class of the depinning transition in the two-dimensional Ising model with quenched random fields. Based on the short-time dynamic approach, we accurately determine the depinning transition fie
We provide a systematic comparison of two numerical methods to solve the widely used nonlinear Schrodinger equation. The first one is the standard second order split-step (SS2) method based on operator splitting approach. The second one is the Hamilt
The time-dependent radiation transport equation is discretized using the meshless-local Petrov-Galerkin method with reproducing kernels. The integration is performed using a Voronoi tessellation, which creates a partition of unity that only depends o
We present a novel framework for performing statistical sampling, expectation estimation, and partition function approximation using emph{arbitrary} heuristic stochastic processes defined over discrete state spaces. Using a highly parallel constructi