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Linearly implicit Runge-Kutta methods with approximate matrix factorization can solve efficiently large systems of differential equations that have a stiff linear part, e.g. reaction-diffusion systems. However, the use of approximate…

数值分析 · 计算机科学 2014-08-19 Hong Zhang , Adrian Sandu , Paul Tranquilli

A novel structure-preserving numerical method to solve random hyperbolic systems of conservation laws is presented. The method uses a concept of generalized, measure-valued solutions to random conservation laws. This yields a linear partial…

数值分析 · 数学 2025-10-29 Shaoshuai Chu , Michael Herty , Maria Lukacova-Medvidova , Yizhou Zhou

We develop a general framework for designing conservative numerical methods based on summation by parts operators and split forms in space, combined with relaxation Runge-Kutta methods in time. We apply this framework to create new classes…

数值分析 · 数学 2021-03-09 Hendrik Ranocha , Dimitrios Mitsotakis , David I. Ketcheson

In simulating physical systems, conservation of the total energy is often essential, especially when energy conversion between different forms of energy occurs frequently. Recently, a new fourth order energy-preserving integrator named MB4…

数值分析 · 数学 2020-03-11 Tsubasa Sakai , Shuhei Kudo , Hiroto Imachi , Yuto Miyatake , Takeo Hoshi , Yusaku Yamamoto

In this paper, we propose linearly implicit and arbitrary high-order conservative numerical schemes for ordinary differential equations with a quadratic invariant. Many differential equations have invariants, and numerical schemes for…

数值分析 · 数学 2022-03-03 Shun Sato , Yuto Miyatake , John C. Butcher

This paper extends the high-order entropy stable (ES) adaptive moving mesh finite difference schemes developed in [14] to the two- and three-dimensional (multi-component) compressible Euler equations with the stiffened equation of state.…

数值分析 · 数学 2022-08-10 Shangting Li , Junming Duan , Huazhong Tang

In this article, a family of two- and three-stage explicit multiquadric (MQ) and inverse multiquadric (IMQ) radial basis functions (RBFs) Runge-Kutta methods are introduced for solving ordinary differential equations. These methods are…

数值分析 · 数学 2025-09-23 Shipra Mahata , Samala Rathan

We study solutions to nonlinear hyperbolic systems with fully nonlinear relaxation terms in the limit of, both, infinitely stiff relaxation and arbitrary late time. In this limit, the dynamics is governed by effective systems of parabolic…

偏微分方程分析 · 数学 2012-10-18 Sebastiano Boscarino , Philippe G. LeFloch , Giovanni Russo

Using a recent characterization of energy-preserving B-series, we derive the explicit conditions on the coefficients of a Runge-Kutta method that ensure energy preservation (for Hamiltonian systems) up to a given order in the step size,…

数值分析 · 数学 2025-01-24 Gabriel A. Barrios de León , David I. Ketcheson , Hendrik Ranocha

The efficient numerical solution of many kinetic models in plasma physics is impeded by the stiffness of these systems. Exponential integrators are attractive in this context as they remove the CFL condition induced by the linear part of…

数值分析 · 数学 2020-11-16 Nicolas Crouseilles , Lukas Einkemmer , Josselin Massot

This paper analyses the long-time behaviour of one-stage symplectic or symmetric extended Runge--Kutta--Nystr\"{o}m (ERKN) methods when applied to nonlinear wave equations. It is shown that energy, momentum, and all harmonic actions are…

数值分析 · 数学 2018-10-04 Bin Wang , Xinyuan Wu

A time discretization method is called strongly stable, if the norm of its numerical solution is nonincreasing. It is known that, even for linear semi-negative problems, many explicit Runge--Kutta (RK) methods fail to preserve this…

数值分析 · 数学 2019-12-30 Zheng Sun , Chi-Wang Shu

A novel method of an adaptive linear quadratic (LQ) regulation of uncertain continuous linear time-invariant systems is proposed. Such an approach is based on the direct self-tuning regulators design framework and the exponentially stable…

系统与控制 · 电气工程与系统科学 2023-08-22 Anton Glushchenko , Konstantin Lastochkin

It is well known that the exponential time differencing (ETD) method has been successfully applied to the classic Cahn-Hilliard equation with double well potential. However, this numerical method can not be extended to the Cahn-Hilliard…

数值分析 · 数学 2026-04-07 Yingying Wang , Xiao Li , Zhengru Zhang

In this letter, based on the exponential scalar auxiliary variable technology, we propose and study a new class of explicit energy-preserving splitting methods for solving the charged-particle dynamics. The energy-preserving property of…

数值分析 · 数学 2023-06-13 Xicui Li , Bin Wang

Recent years have seen an increasing amount of research devoted to the development of so-called resonance-based methods for dispersive nonlinear partial differential equations. In many situations, this new class of methods allows for…

数值分析 · 数学 2024-07-22 Georg Maierhofer , Katharina Schratz

A unified theoretical framework is suggested to examine the energy dissipation properties at all stages of additive implicit-explicit Runge-Kutta (IERK) methods up to fourth-order accuracy for gradient flow problems. We construct some…

数值分析 · 数学 2024-10-10 Hong-lin Liao , Xuping Wang , Cao Wen

The main theoretical obstacle to establish the original energy dissipation laws of Runge-Kutta methods for phase-field equations is to verify the maximum norm boundedness of the stage solutions without assuming global Lipschitz continuity…

数值分析 · 数学 2024-12-11 Xuping Wang , Xuan Zhao , Hong-lin Liao

The manuscript presents a new technique for computing the exponential of skew-Hermitian operators. Principal advantages of the proposed method include: stability even for large time-steps, the possibility to parallelize in time over many…

数值分析 · 数学 2014-02-24 T. S. Haut , T. Babb , P. G. Martinsson , B. A. Wingate

Physical laws, such as the conversation of mass and momentum, are fundamental principles in many physical systems. Neural operators have achieved promising performance in learning the solutions to those systems, but often fail to ensure…

机器学习 · 计算机科学 2026-03-10 Chaoyu Liu , Yangming Li , Zhongying Deng , Chris Budd , Carola-Bibiane Schönlieb