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相关论文: A third order exponential time differencing numeri…

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In this paper we propose and analyze a (temporally) third order accurate backward differentiation formula (BDF) numerical scheme for the no-slope-selection (NSS) equation of the epitaxial thin film growth model, with Fourier pseudo-spectral…

数值分析 · 数学 2021-02-03 Yonghong Hao , Qiumei Huang , Cheng Wang

In this paper, a stabilized second order in time accurate linear exponential time differencing (ETD) scheme for the no-slope-selection thin film growth model is presented. An artificial stabilizing term $A\tau^2\frac{\partial\Delta^2…

数值分析 · 数学 2019-07-05 Wenbin Chen , Weijia Li , Zhiwen Luo , Cheng Wang , Xiaoming Wang

This paper establishes a unified framework for the space-time convergence analysis of the energy-stable third-order accurate exponential time differencing Runge-Kutta schemes. By employing Fourier pseudo-spectral discretization in space and…

数值分析 · 数学 2025-02-24 Jingwei Sun , Haifeng Wang , Hong Zhang , Xu Qian , Songhe Song

We present a methodology to construct efficient high-order in time accurate numerical schemes for a class of gradient flows with appropriate Lipschitz continuous nonlinearity. There are several ingredients to the strategy: the exponential…

数值分析 · 数学 2021-02-23 Wenbin Chen , Shufen Wang , Xiaoming Wang

In this paper, we present a rigorous proof of the convergence of first order and second order exponential time differencing (ETD) schemes for solving the nonlocal Cahn-Hilliard (NCH) equation. The spatial discretization employs the Fourier…

数值分析 · 数学 2024-07-02 Danni Zhang , Dongling Wang

We analyze a variable-step extension of a family of arbitrarily high-order exponential time differencing multistep (ETD-MS) schemes recently developed by the authors. We prove that the schemes are unconditionally stable in the sense that a…

数值分析 · 数学 2025-12-02 Wenbin Chen , Zhaohui Fu , Shun Wang , Xiaoming Wang

In this paper, we study a novel second-order energy stable Backward Differentiation Formula (BDF) finite difference scheme for the epitaxial thin film equation with slope selection (SS). One major challenge for the higher oder in time…

数值分析 · 数学 2017-06-29 Wenqiang Feng , Cheng Wang , Steven M. Wise , Zhengru Zhang

A second-order $L$-stable exponential time-differencing (ETD) method is developed by combining an ETD scheme with approximating the matrix exponentials by rational functions having real distinct poles (RDP), together with a dimensional…

数值分析 · 数学 2020-06-24 E. O. Asante-Asamani , A. Kleefeld , B. A. Wade

In this paper we propose and analyze an energy stable numerical scheme for the Cahn-Hilliard equation, with second order accuracy in time and the fourth order finite difference approximation in space. In particular, the truncation error for…

数值分析 · 数学 2017-12-19 Kelong Cheng , Wenqiang Feng , Cheng Wang , Steven M. Wise

We consider the classical molecular beam epitaxy (MBE) model with logarithmic type potential known as no-slope-selection. We employ a third order backward differentiation (BDF3) in time with implicit treatment of the surface diffusion term.…

数值分析 · 数学 2021-10-26 Dong Li , Chaoyu Quan , Wen Yang

This paper develops and analyzes an optimal-order semi-discrete scheme and its fully discrete finite element approximation for nonlinear stochastic elastic wave equations with multiplicative noise. A non-standard time-stepping scheme is…

数值分析 · 数学 2025-04-08 Xiaobing Feng , Yukun Li , Liet Vo

The nonlocal Allen-Cahn (NAC) equation is a generalization of the classic Allen-Cahn equation by replacing the Laplacian with a parameterized nonlocal diffusion operator, and satisfies the maximum principle as its local counterpart. In this…

数值分析 · 数学 2019-02-14 Qiang Du , Lili Ju , Xiao Li , Zhonghua Qiao

A fourth-order exponential time differencing (ETD) Runge-Kutta scheme with dimensional splitting is developed to solve multidimensional non-linear systems of reaction-diffusion equations (RDE). By approximating the matrix exponential in the…

数值分析 · 数学 2024-03-25 E. O. Asante-Asamani , A. Kleefeld , B. A. Wade

In this paper implicit and explicit exact difference schemes (EDS) for system $\textbf{x}' = A\textbf{x}$ of three linear differential equations with constant coefficients are constructed. Numerical simulations for stiff problem and for…

数值分析 · 数学 2017-02-03 Quang A Dang , Manh Tuan Hoang

This paper proposes an explicit computational method for solving a three-dimensional system of nonlinear elastodynamic sine-Gordon equations subject to appropriate initial and boundary conditions. The time derivative is approximated by…

数值分析 · 数学 2025-06-19 Eric Ngondiep

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…

数值分析 · 数学 2024-10-15 Evelina V. Permyakova , Denis S. Goldobin

We present a pseudo-spectral method for solving the three-dimensional Boussinesq equations in unbounded cylindrical domains, specifically tailored for rotating, stably stratified flows subject to strong azimuthal shear. To effectively…

流体动力学 · 物理学 2026-03-10 Jinge Wang , Philip S. Marcus

In this paper, we develop a general framework for constructing higher-order, unconditionally energy-stable exponential time differencing Runge-Kutta methods applicable to a range of gradient flows. Specifically, we identify conditions…

数值分析 · 数学 2024-07-23 Zhaohui Fu , Jie Shen , Jiang Yang

High-order time-stepping schemes are crucial for simulating incompressible fluid flows due to their ability to capture complex turbulent behavior and unsteady motion. In this work, we propose a third-order accurate numerical scheme for the…

数值分析 · 数学 2025-12-22 Kelong Cheng , Jingwei Sun , Hong Zhang

The convective Allen-Cahn equation has been widely used to simulate multi-phase flows in many phase-field models. As a generalized form of the classic Allen-Cahn equation, the convective Allen-Cahn equation still preserves the maximum bound…

数值分析 · 数学 2022-10-17 Yongyong Cai , Lili Ju , Rihui Lan , Jingwei Li
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