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The new class of alternating-conjugate splitting methods is presented and analyzed. They are obtained by concatenating a given composition involving complex coefficients with the same composition but with the complex conjugate coefficients.…

Numerical Analysis · Mathematics 2025-12-19 J. Bernier , S. Blanes , F. Casas , A. Escorihuela-Tomàs

In the simulation of differential-algebraic equations (DAEs), it is essential to employ numerical schemes that take into account the inherent structure and maintain explicit or hidden algebraic constraints without altering them. This paper…

Numerical Analysis · Mathematics 2024-04-23 Andreas Bartel , Malak Diab , Andreas Frommer , Michael Günther , Nicole Marheineke

In this paper, we focus on constructing numerical schemes preserving the averaged energy evolution law for nonlinear stochastic wave equations driven by multiplicative noise. We first apply the compact finite difference method and the…

Numerical Analysis · Mathematics 2022-01-26 Jialin Hong , Baohui Hou , Liying Sun

For a general class of nonlinear port-Hamiltonian systems we develop a high-order time discretization scheme with certain structure preservation properties. The finite or infinite-dimensional system under consideration possesses a…

Numerical Analysis · Mathematics 2024-07-23 Jan Giesselmann , Attila Karsai , Tabea Tscherpel

We construct stochastic multisymplectic systems by considering a stochastic extension to the variational formulation of multisymplectic partial differential equations proposed in [Hydon, {\it Proc. R. Soc. A}, 461, 1627--1637, 2005]. The…

Dynamical Systems · Mathematics 2025-11-19 Ruiao Hu , Linyu Peng

The paper describes the construction of entropy-stable discontinuous Galerkin difference (DGD) discretizations for hyperbolic conservation laws on unstructured grids. The construction takes advantage of existing theory for entropy-stable…

Numerical Analysis · Mathematics 2021-03-08 Ge Yan , Sharanjeet Kaur , Jeffery W. Banks , Jason E. Hicken

In this paper, we consider exponential integrators for semilinear Poisson systems. Two types of exponential integrators are constructed, one preserves the Poisson structure, and the other preserves energy. Numerical experiments for…

Numerical Analysis · Mathematics 2017-03-06 Xuefeng Shen , Melvin Leok

Mathematical descriptions of flow phenomena usually come in the form of partial differential equations. The differential operators used in these equations may have properties such as symmetry, skew-symmetry, positive or negative…

Numerical Analysis · Mathematics 2017-10-20 Bas van 't Hof , Mathea J. Vuik

Explicit, unconditionally stable, high-order schemes for the approximation of some first- andsecond-order linear, time-dependent partial differential equations (PDEs) are proposed.The schemes are based on a weak formulation of a…

Numerical Analysis · Mathematics 2017-11-15 Olivier Bokanowski , Giorevinus Simarmata

In this paper we study the representation of partial differential equations (PDEs) as abstract differential-algebraic equations (DAEs) with dissipative Hamiltonian structure (adHDAEs). We show that these systems not only arise when there…

Functional Analysis · Mathematics 2024-05-20 Volker Mehrmann , Hans Zwart

We study conservation properties of Galerkin methods for the incompressible Navier-Stokes equations, without the divergence constraint strongly enforced. In typical discretizations such as the mixed finite element method, the conservation…

Numerical Analysis · Mathematics 2017-04-05 Sergey Charnyi , Timo Heister , Maxim A. Olshanskii , Leo G. Rebholz

We introduce a novel numerical method to integrate partial differential equations representing the Hamiltonian dynamics of field theories. It is a multi-symplectic integrator that locally conserves the stress-energy tensor with an excellent…

Numerical Analysis · Mathematics 2017-02-23 Hugo Ricateau , Leticia F. Cugliandolo

This article considers a new discretization scheme for conservation laws. The discretization setting is based on a discontinuous Galerkin scheme in combination with an approximation space that contains high-order polynomial modes as well as…

Numerical Analysis · Mathematics 2021-10-14 Per-Olof Persson , Benjamin Stamm

We discuss various dualities, relating integrable systems and show that these dualities are explained in the framework of Hamiltonian and Poisson reductions. The dualities we study shed some light on the known integrable systems as well as…

High Energy Physics - Theory · Physics 2009-10-31 V. Fock , A. Gorsky , N. Nekrasov , V. Rubtsov

Robust and convergent high-order numerical methods for solving partial differential equations are highly attractive due to their efficiency on modern and next-generation hardware architectures. However, designing such methods for nonlinear…

Numerical Analysis · Mathematics 2026-03-24 Dougal Stewart , Nathan Lee , Kenneth Duru

This paper presents an energy-preserving machine learning method for inferring reduced-order models (ROMs) by exploiting the multi-symplectic form of partial differential equations (PDEs). The vast majority of energy-preserving…

Machine Learning · Computer Science 2024-09-17 Süleyman Yıldız , Pawan Goyal , Peter Benner

We present two novel classes of fully discrete energy-preserving algorithms for the sine-Gordon equation subject to Neumann boundary conditions. The cosine pseudo-spectral method is first used to develop structure-preserving spatial…

Numerical Analysis · Mathematics 2020-08-12 Qi Hong , Yushun Wang , Yuezheng Gong

Pseudospectral collocation methods and finite difference methods have been used for approximating an important family of soliton like solutions of the mKdV equation. These solutions present a structural instability which make difficult to…

Numerical Analysis · Mathematics 2011-09-29 Carlos Gorria , Miguel A. Alejo , Luis Vega

We analyze the anti-symmetric properties of a spectral discretization for the one-dimensional Vlasov-Poisson equations. The discretization is based on a spectral expansion in velocity with the symmetrically weighted Hermite basis functions,…

Numerical Analysis · Mathematics 2024-10-31 Opal Issan , Oleksandr Koshkarov , Federico D. Halpern , Boris Kramer , Gian Luca Delzanno

We analyze composition methods with complex coefficients exhibiting the so-called ``symmetry-conjugate'' pattern in their distribution. In particular, we study their behavior with respect to preservation of qualitative properties when…

Numerical Analysis · Mathematics 2021-01-12 Sergio Blanes , Fernando Casas , Philippe Chartier , Alejandro Escorihuela-Tomàs