English
Related papers

Related papers: Structure-preserving algorithms for multi-dimensio…

200 papers

In this paper we introduce a numerical scheme which preserves the long time behavior of solutions to the Kolmogorov equation. The method presented is based on a self-similar change of variables technique to transform the Kolmogorov equation…

Numerical Analysis · Mathematics 2014-11-06 Erich L Foster , Jérôme Lohéac , Minh-Binh Tran

Geometric discretizations that preserve certain Hamiltonian structures at the discrete level has been proven to enhance the accuracy of numerical schemes. In particular, numerous symplectic and multi-symplectic schemes have been proposed to…

Classical Physics · Physics 2013-04-23 Denys Dutykh , Marx Chhay , Francesco Fedele

Many conservative partial differential equations such as the Korteweg-de Vries (KdV) equation, and the nonlinear Schr\"{o}dinger equations, the Klein-Gordon equation have more than one invariant functionals. In this paper, we propose the…

Numerical Analysis · Mathematics 2025-08-19 Wei Shi , Bin Wang , Kai Liu

Finite difference schemes that preserve two conservation laws of a given partial differential equation can be found directly by a recently-developed symbolic approach. Until now, this has been used only for equations with quadratic…

Numerical Analysis · Mathematics 2019-07-31 Gianluca Frasca-Caccia , Peter E. Hydon

A method for constructing first integral preserving numerical schemes for time-dependent partial differential equations on non-uniform grids is presented. The method can be used with both finite difference and partition of unity approaches,…

Numerical Analysis · Mathematics 2018-06-04 Sølve Eidnes , Brynjulf Owren , Torbjørn Ringholm

The classic second-order average vector field (AVF) method can exactly preserve the energy for Hamiltonian ordinary differential equations and partial differential equations. However, the AVF method inevitably leads to fully-implicit…

Numerical Analysis · Mathematics 2018-06-29 Wenjun Cai , Haochen Li , Yushun Wang

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 paper, a novel high-order, mass and energy-conserving scheme is proposed for the regularized logarithmic Schr\"{o}dinger equation(RLogSE). Based on the idea of the supplementary variable method (SVM), we firstly reformulate the…

Numerical Analysis · Mathematics 2024-11-11 Fan Yang , Zhida Zhou , Chaolong Jiang

In this work we consider an extension of a recently proposed structure preserving numerical scheme for nonlinear Fokker-Planck-type equations to the case of nonconstant full diffusion matrices. While in existing works the schemes are…

Numerical Analysis · Mathematics 2021-04-20 N. Loy , M. Zanella

In this work we demonstrate that SVD-based model reduction techniques known for ordinary differential equations, such as the proper orthogonal decomposition, can be extended to stochastic differential equations in order to reduce the…

Numerical Analysis · Mathematics 2024-02-01 Tomasz M. Tyranowski

In this paper, we consider the error analysis of a conservative Fourier pseudo-spectral method that conserves mass and energy for the space fractional nonlinear Schr\"{o}dinger equation. We give a new fractional Sobolev norm that can…

Analysis of PDEs · Mathematics 2019-10-24 Zhuangzhi Xu , Wenjun Cai , Chaolong Jiang , Yushun Wang

Computationally efficient, structure-preserving reduced-order methods are developed for the Korteweg de Vries (KdV) equations in Hamiltonian form. The KdV equation is discretized in space by finite differences. The resulting skew-gradient…

Numerical Analysis · Mathematics 2021-08-30 Bulent Karasozen , Murat Uzunca , Suleyman Yildiz

In this paper, we propose a mass conservative semi-Lagrangian finite difference scheme for multi-dimensional problems without dimensional splitting. The semi-Lagrangian scheme, based on tracing characteristics backward in time from grid…

Numerical Analysis · Mathematics 2016-07-26 Tao Xiong , Giovanni Russo , Jing-Mei Qiu

We develop structure-preserving time integration schemes for Gaussian wave packet dynamics associated with the magnetic Schr\"odinger equation. The variational Dirac--Frenkel formulation yields a finite-dimensional Hamiltonian system for…

Numerical Analysis · Mathematics 2026-03-27 Sebastian Merk , Caroline Lasser

We give a systematic method for discretizing Hamiltonian partial differential equations (PDEs) with constant symplectic structure, while preserving their energy exactly. The same method, applied to PDEs with constant dissipative structure,…

Numerical Analysis · Mathematics 2015-06-04 E. Celledoni , V. Grimm , R. I. McLachlan , D. I. McLaren , D. O'Neale , B. Owren , G. R. W. Quispel

In this paper, we develop a novel, linearly implicit and local energy-preserving scheme for the sine-Gordon equation. The basic idea is from the invariant energy quadratization approach to construct energy stable schemes for gradient…

Numerical Analysis · Mathematics 2019-08-06 Chaolong Jiang , Wenjun Cai , Yushun Wang

This paper presents two kinds of strategies to construct structure-preserving algorithms with homogeneous Neumann boundary conditions for the sine-Gordon equation, while most existing structure-preserving algorithms are only valid for zero…

Numerical Analysis · Mathematics 2019-09-04 Wenjun Cai , Chaolong Jiang , Yushun Wang

In this paper, we are concerned with arbitrarily high-order momentum-preserving and energy-preserving schemes for solving the generalized Rosenau-type equation, respectively. The derivation of the momentum-preserving schemes is made within…

Numerical Analysis · Mathematics 2023-01-31 Chaolong Jiang , Xu Qian , Songhe Song , Chenxuan Zheng

In this work, we develop a novel numerical scheme to solve the classical Keller--Segel (KS) model which simultaneously preserves its intrinsic mathematical structure and achieves optimal accuracy. The model is reformulated into a gradient…

Numerical Analysis · Mathematics 2025-09-23 X. Yin , X. Lan , Y. Qin

Many differential equations with physical backgrounds are described as gradient systems, which are evolution equations driven by the gradient of some functionals, and such problems have energy conservation or dissipation properties. For…

Numerical Analysis · Mathematics 2023-08-07 Tomoya Kemmochi