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相关论文: A structure-preserving approximation of the discre…

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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…

数值分析 · 数学 2025-07-04 C. Núñez , M. A. Sánchez

We propose a new semi-discretization scheme to approximate nonlinear Fokker-Planck equations, by exploiting the gradient flow structures with respect to the 2-Wasserstein metric. We discretize the underlying state by a finite graph and…

数值分析 · 数学 2017-12-20 Shui-Nee Chow , Luca Dieci , Wuchen Li , Haomin Zhou

We study discretizations of Hamiltonian systems on the probability density manifold equipped with the $L^2$-Wasserstein metric. Based on discrete optimal transport theory, several Hamiltonian systems on graph (lattice) with different…

数值分析 · 数学 2020-06-17 Jianbo Cui , Luca Dieci , Haomin Zhou

We introduce a structure preserving discretization of stochastic rotating shallow water equations, stabilized with an energy conserving Casimir (i.e. potential enstrophy) dissipation. A stabilization of a stochastic scheme is usually…

数值分析 · 数学 2023-07-19 Werner Bauer , Rüdiger Brecht

In this paper, we propose stochastic structure-preserving schemes to compute the effective diffusivity for particles moving in random flows. We first introduce the motion of particles using the Lagrangian formulation, which is modeled by…

数值分析 · 数学 2020-08-24 Junlong Lyu , Zhongjian Wang , Jack Xin , Zhiwen Zhang

This article reports on the confluence of two streams of research, one emanating from the fields of numerical analysis and scientific computation, the other from topology and geometry. In it we consider the numerical discretization of…

数值分析 · 数学 2014-01-29 Douglas N. Arnold , Richard S. Falk , Ragnar Winther

We analyse the multiscale properties of energy-conserving upwind-stabilised finite element discretisations of the two-dimensional incompressible Euler equations. We focus our attention on two particular methods: the Lie derivative…

数值分析 · 数学 2017-08-02 Andrea Natale , Colin J. Cotter

We extend the modeling framework of port-Hamiltonian descriptor systems to include under- and over-determined systems and arbitrary differentiable Hamiltonian functions. This structure is associated with a Dirac structure that encloses its…

最优化与控制 · 数学 2019-03-26 Volker Mehrmann , Riccardo Morandin

In this work, we introduce semi-implicit or implicit finite difference schemes for the continuity equation with a gradient flow structure. Examples of such equations include the linear Fokker-Planck equation and the Keller-Segel equations.…

数值分析 · 数学 2022-03-25 Jingwei Hu , Xiangxiong Zhang

We introduce an efficient finite-element approach for large-scale real-space pseudopotential density functional theory (DFT) calculations incorporating noncollinear magnetism and spin-orbit coupling. The approach, implemented within the…

材料科学 · 物理学 2025-06-11 Nikhil Kodali , Phani Motamarri

We present a new high-order accurate computational fluid dynamics model based on the incompressible Navier-Stokes equations with a free surface for the accurate simulation of nonlinear and dispersive water waves in the time domain. The…

数值分析 · 数学 2024-06-06 Anders Melander , Max E. Bitsch , Dong Chen , Allan P. Engsig-Karup

We present a novel structure-preserving framework for solving the Vlasov-Poisson-Landau system of equations using a particle in cell (PIC) discretization combined with discrete gradient time integrators. The Vlasov-Poisson-Landau system is…

等离子体物理 · 物理学 2026-02-16 Daniel S. Finn , Joseph V. Pusztay , Matthew G. Knepley , Mark F. Adams

In this paper, a symmetrized two-scale finite element method is proposed for a class of partial differential equations with symmetric solutions. With this method, the finite element approximation on a fine tensor product grid is reduced to…

数值分析 · 数学 2022-06-01 Pengyu Hou , Fang Liu , Aihui Zhou

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…

数值分析 · 数学 2023-10-12 Chen Liu , Yuan Gao , Xiangxiong Zhang

A broad class of nonlinear acoustic wave models possess a Hamiltonian structure in their dissipation-free limit and a gradient flow structure for their dissipative dynamics. This structure may be exploited to design numerical methods which…

数值分析 · 数学 2024-07-23 William Barham , Philip J. Morrison

We propose a fully discrete finite volume scheme for the standard Fokker-Planck equation. The space discretization relies on the well-known square-root approximation, which falls into the framework of two-point flux approximations. Our time…

偏微分方程分析 · 数学 2024-10-07 Clément Cancès , Léonard Monsaingeon , Andrea Natale

We propose and analyze a structure-preserving approximation of the non-isothermal Cahn-Hilliard equation using conforming finite elements for the spatial discretization and a problem-specific mixed explicit-implicit approach for the…

数值分析 · 数学 2026-02-05 Aaron Brunk , Dennis Höhn , Mária Lukáčová-Medvidová

We establish sharp energy decay rates for a large class of nonlinearly first-order damped systems, and we design discretization schemes that inherit of the same energy decay rates, uniformly with respect to the space and/or time…

偏微分方程分析 · 数学 2015-12-17 Fatiha Alabau-Boussouira , Yannick Privat , Emmanuel Trélat

We construct finite element methods for the incompressible magnetohydrodynamics (MHD) system that precisely preserve magnetic and cross helicity, the energy law and the magnetic Gauss law at the discrete level. The variables are discretized…

数值分析 · 数学 2021-04-07 Kaibo Hu , Young-Ju Lee , Jinchao Xu

We consider in this paper a numerical approximation of Poisson-Nernst-Planck-Navier- Stokes (PNP-NS) system. We construct a decoupled semi-discrete and fully discrete scheme that enjoys the properties of positivity preserving, mass…

数值分析 · 数学 2025-07-15 Ziyao Yu , Qing Cheng , Jie Shen , Changyou Wang