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We present two strategies for designing passivity preserving higher order discretization methods for Maxwell's equations in nonlinear Kerr-type media. Both approaches are based on variational approximation schemes in space and time. This…

Numerical Analysis · Mathematics 2022-02-17 Herbert Egger , Vsevolod Shashkov

In this paper, we introduce second order and fourth order space discretization via finite difference implementation of the finite element method for solving Fokker-Planck equations associated with irreversible processes. The proposed…

Numerical Analysis · Mathematics 2023-10-12 Chen Liu , Yuan Gao , Xiangxiong Zhang

This work proposes a suite of numerical techniques to facilitate the design of structure-preserving integrators for nonlinear dynamics. The celebrated LaBudde-Greenspan integrator and various energy-momentum schemes adopt a difference…

Numerical Analysis · Mathematics 2023-05-17 Ju Liu

We present a new high-order finite volume reconstruction method for hyperbolic conservation laws. The method is based on a piecewise cubic polynomial which provides its solutions a fifth-order accuracy in space. The spatially reconstructed…

Computational Physics · Physics 2017-05-24 Dongwook Lee , Hugues Faller , Adam Reyes

Exponential time differencing methods is a power tool for high-performance numerical simulation of computationally challenging problems in condensed matter physics, fluid dynamics, chemical and biological physics, where mathematical models…

Numerical Analysis · Mathematics 2024-10-15 Evelina V. Permyakova , Denis S. Goldobin

We propose a discretization of vector fields that are Hamiltonian up to multiplication by a positive function on the phase space that may be interpreted as a time reparametrization. We prove that our method is structure preserving in the…

Numerical Analysis · Mathematics 2020-08-18 Luis C. García-Naranjo , Mats Vermeeren

This paper develops a fully discrete Fourier spectral Galerkin (FSG) method for the fractional Zakharov--Kuznetsov (fZK) equation posed on a two-dimensional periodic domain. The equation generalizes the classical ZK model by replacing the…

Numerical Analysis · Mathematics 2026-05-29 Mukul Dwivedi , Andreas Rupp

In this work we propose and analyse a structure-preserving approximation of the non-isothermal Cahn-Hilliard-Navier-Stokes system using conforming finite elements in space and implicit time discretisation with convex-concave splitting. The…

Numerical Analysis · Mathematics 2024-07-01 Aaron Brunk , Dennis Schumann

We propose a structure-preserving discontinuous Galerkin scheme for the Cahn--Hilliard equations with degenerate mobility based on the Symmetric Weighted Interior Penalty formulation. By evaluating the mobility at cell averages rather than…

Numerical Analysis · Mathematics 2026-04-03 Jimmy Kornelije Gunnarsson , Robert Klöfkorn

A hybrid method for the incompressible Navier--Stokes equations is presented. The method inherits the attractive stabilizing mechanism of upwinded discontinuous Galerkin methods when momentum advection becomes significant, equal-order…

Computational Engineering, Finance, and Science · Computer Science 2012-11-19 Robert Jan Labeur , Garth N. Wells

Symmetry-preserving (mimetic) discretization aims to preserve certain properties of a continuous differential operator in its discrete counterpart. For these discretizations, stability and (discrete) conservation of mass, momentum and…

Numerical Analysis · Mathematics 2019-09-25 B. van 't Hof , M. J. Vuik

The quantum Zakharov system is described in terms of a Lagrangian formalism. A time-dependent Gaussian trial function approach for the envelope electric field and the low-frequency part of the density fluctuation leads to a coupled,…

Plasma Physics · Physics 2009-11-13 F. Haas

We study the hyperbolic approximation of the Benjamin-Bona-Mahony (BBM) equation proposed recently by Gavrilyuk and Shyue (2022). We develop asymptotic-preserving numerical methods using implicit-explicit (additive) Runge-Kutta methods that…

Numerical Analysis · Mathematics 2025-11-18 Sebastian Bleecke , Abhijit Biswas , David I. Ketcheson , Hendrik Ranocha , Jochen Schutz

This work presents structure-preserving Lift & Learn, a scientific machine learning method that employs lifting variable transformations to learn structure-preserving reduced-order models for nonlinear partial differential equations (PDEs)…

Machine Learning · Computer Science 2026-01-09 Harsh Sharma , Juan Diego Draxl Giannoni , Boris Kramer

Typical fully conservative discretizations of the Euler compressible single or multi-component fluid equations governed by a real-fluid equation of state exhibit spurious pressure oscillations due to the nonlinearity of the thermodynamic…

Computational Physics · Physics 2025-12-05 Christopher DeGrendele , Nguyen Ly , Francois Cadieux , Michael Barad , Dongwook Lee , Jared Duensing

We introduce a family of fourth order two-step methods that preserve the energy function of canonical polynomial Hamiltonian systems. Each method in the family may be viewed as a correction of a linear two-step method, where the correction…

Numerical Analysis · Mathematics 2012-06-08 Luigi Brugnano , Felice Iavernaro , Donato Trigiante

This paper focuses on the numerical approximation of the linearized shallow water equations using hybridizable discontinuous Galerkin (HDG) methods, leveraging the Hamiltonian structure of the evolution system. First, we propose an…

Numerical Analysis · Mathematics 2025-07-04 C. Núñez , M. A. Sánchez

Here, we propose a new modified quantum mechanics and its new algorithms of atomic fine-structure,asymmetric variational method based on hydrogen-like atom orbit. In addition, as we all know, the ab initio calculation of atomic…

Quantum Physics · Physics 2024-02-14 Yu-kuo Zhao , Yu-xin Dong

Based on the combinatory theory of rooted colored trees, we investigate the conditions for the explicit stochastic Runge-Kutta (SRK) methods to preserve quadratic invariants (QI) up to certain orders of accuracy. These conditions can supply…

Numerical Analysis · Mathematics 2014-10-24 Jialin Hong , Lijin Wang , Dongsheng Xu , Liying Zhang

We perform a numerical analysis of a class of randomly perturbed {H}amiltonian systems and {P}oisson systems. For the considered additive noise perturbation of such systems, we show the long time behavior of the energy and quadratic…

Numerical Analysis · Mathematics 2021-04-29 David Cohen , Gilles Vilmart