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相关论文: On Lagrangian schemes for porous medium type gener…

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We study numerical methods for porous media equation (PME). There are two important characteristics: the finite speed propagation of the free boundary and the potential waiting time, which make the problem not easy to handle. Based on…

数值分析 · 数学 2019-03-27 Chenghua Duan , Chun Liu , Cheng Wang , Xingye Yue

The porous medium equation (PME) is a typical nonlinear degenerate parabolic equation. We have studied numerical methods for PME by an energetic variational approach in [C. Duan et al, J. Comput. Phys., 385 (2019) 13-32], where the…

数值分析 · 数学 2019-10-11 Chenghua Duan , Chun Liu , Cheng Wang , Xingye Yue

In this paper, we propose a variational Lagrangian scheme for a modified phase-field model, which can compute the equilibrium states for the original Allen-Cahn type model. Our discretization is based on a prescribed energy-dissipation law…

数值分析 · 数学 2020-08-24 Chun Liu , Yiwei Wang

A Lagrangian numerical scheme for solving nonlinear degenerate Fokker-Planck equations in space dimensions $d\ge2$ is presented. It applies to a large class of nonlinear diffusion equations, whose dynamics are driven by internal energies…

数值分析 · 数学 2018-06-18 José A. Carrillo , Bertram Düring , Daniel Matthes , David S. McCormick

We present high-order variational Lagrangian finite element methods for compressible fluids using a discrete energetic variational approach. Our spatial discretization is mass/momentum/energy conserving and entropy stable. Fully implicit…

数值分析 · 数学 2023-08-16 Guosheng Fu , Chun Liu

The porous medium equation (PME) is a typical nonlinear degenerate parabolic equation. An energetic variational approach has been studied in a recent work [6], in which the trajectory equation is obtained, and a few first order accurate…

数值分析 · 数学 2020-06-23 Chenghua Duan , Wenbin Chen , Chun Liu , Cheng Wang , Xingye Yue

We present a structure-preserving Eulerian algorithm for solving $L^2$-gradient flows and a structure-preserving Lagrangian algorithm for solving generalized diffusions. Both algorithms employ neural networks as tools for spatial…

数值分析 · 数学 2024-04-16 Ziqing Hu , Chun Liu , Yiwei Wang , Zhiliang Xu

A class of variational schemes for the hydrodynamic-electrodynamic model of lossless free-electron gas in a quasineutral background is developed for high-quality simulations of surface plasmon polaritons. The Lagrangian density of lossless…

计算物理 · 物理学 2019-02-27 Qiang Chen , Lifei Geng , Xiang Chen , Xiaojun Hao , Chuanchuan Wang , Xiaoyang Wang

This paper presents a geometric variational discretization of compressible fluid dynamics. The numerical scheme is obtained by discretizing, in a structure preserving way, the Lie group formulation of fluid dynamics on diffeomorphism groups…

数值分析 · 数学 2018-12-17 Werner Bauer , François Gay-Balmaz

The gradient discretisation method (GDM) is a generic framework for designing and analysing numerical schemes for diffusion models. In this paper, we study the GDM for the porous medium equation, including fast diffusion and slow diffusion…

数值分析 · 数学 2020-04-02 Jerome Droniou , Kim-Ngan Le

In this paper, we introduce a new approach to solving the porous medium equation using a moving mesh finite element method that leverages the Onsager variational principle as an approximation tool. Both the continuous and discrete problems…

数值分析 · 数学 2024-04-01 Si Xiao , Xianmin Xu

We present a linear, second order fully discrete numerical scheme on a staggered grid for a thermodynamically consistent hydrodynamic phase field model of binary compressible fluid flow mixtures derived from the generalized Onsager…

数值分析 · 数学 2019-07-24 Xueping Zhao , Qi Wang

Critical points of energy functionals, which are of broad interest, for instance, in physics and chemistry, in solid and quantum mechanics, in material science, or in general diffusion-reaction models arise as solutions to the associated…

数值分析 · 数学 2025-10-20 Pascal Heid , Thomas P. Wihler

In this paper, we study numerical methods for the homogenization of linear second-order elliptic equations in nondivergence-form with periodic diffusion coefficients and large drift terms. Upon noting that the effective diffusion matrix can…

数值分析 · 数学 2025-06-18 Timo Sprekeler , Han Wu , Zhiwen Zhang

We propose a nonlinear Discrete Duality Finite Volume scheme to approximate the solutions of drift diffusion equations. The scheme is built to preserve at the discrete level even on severely distorted meshes the energy / energy dissipation…

偏微分方程分析 · 数学 2017-05-31 Clément Cancès , Claire Chainais-Hillairet , Stella Krell

We propose a second order, fully semi-Lagrangian method for the numerical solution of systems of advection-diffusion-reaction equations, which employs a semi-Lagrangian approach to approximate in time both the advective and the diffusive…

数值分析 · 数学 2020-02-12 Luca Bonaventura , Elisabetta Carlini , Elisa Calzola , Roberto Ferretti

Lagrangian averaging plays an important role in the analysis of wave--mean-flow interactions and other multiscale fluid phenomena. The numerical computation of Lagrangian means, e.g. from simulation data, is however challenging. Typical…

流体动力学 · 物理学 2023-04-26 Hossein A. Kafiabad , Jacques Vanneste

We study a Lagrangian numerical scheme for solution of a nonlinear drift diffusion equation on an interval. The discretization is based on the equation's gradient flow structure with respect to the Wasserstein distance. The scheme inherits…

数值分析 · 数学 2019-02-20 Daniel Matthes , Horst Osberger

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

Developing high-order numerical schemes for two-phase flow in porous media that preserve key physical properties remains a significant challenge in numerical analysis. In this article, we propose a general framework to construct fully…

数值分析 · 数学 2026-05-29 Xiaoli Li , Cheng Wang , Yujing Yan , Nan Zheng
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