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相关论文: Time discretization schemes for hyperbolic systems…

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We consider constrained partial differential equations of hyperbolic type with a small parameter $\varepsilon>0$, which turn parabolic in the limit case, i.e., for $\varepsilon=0$. The well-posedness of the resulting systems is discussed…

偏微分方程分析 · 数学 2022-02-15 Robert Altmann , Christoph Zimmer

We study the construction and convergence of semi-explicit and iterative decoupling schemes for an elliptic-parabolic problem using higher-order Runge-Kutta methods. For the semi-explicit schemes, which are constructed using a nearby delay…

数值分析 · 数学 2026-05-22 Robert Altmann , Abdullah Mujahid , Benjamin Unger

For a large class of fully nonlinear parabolic equations, which include gradient flows for energy functionals that depend on the solution gradient, the semidiscretization in time by implicit Runge-Kutta methods such as the Radau IIA methods…

数值分析 · 数学 2016-06-14 Peer C. Kunstmann , Buyang Li , Christian Lubich

The aim of this paper is to construct and analyze exponential Runge-Kutta methods for the temporal discretization of a class of semilinear parabolic problems with arbitrary state-dependent delay. First, the well-posedness of the problem is…

数值分析 · 数学 2025-09-12 Qiumei Huang , Alexander Ostermann , Gangfan Zhong

We prove first-order convergence of the semi-explicit Euler scheme combined with a finite element discretization in space for elliptic-parabolic problems which are weakly coupled. This setting includes poroelasticity, thermoelasticity, as…

数值分析 · 数学 2019-09-10 Robert Altmann , Roland Maier , Benjamin Unger

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

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 introduce a new class of Runge-Kutta type methods suitable for time stepping to propagate hyperbolic solutions within tent-shaped spacetime regions. Unlike standard Runge-Kutta methods, the new methods yield expected convergence…

数值分析 · 数学 2020-02-28 Jay Gopalakrishnan , Joachim Schöberl , Christoph Wintersteiger

Next-generation exascale machines with extreme levels of parallelism will provide massive computing resources for large scale numerical simulations of complex physical systems at unprecedented parameter ranges. However, novel numerical…

In this work, we present a modification of explicit Runge-Kutta temporal integration schemes that guarantees the preservation of any locally-defined quasiconvex set of bounds for the solution. These schemes operate on the basis of a…

数值分析 · 数学 2023-01-18 Tarik Dzanic , Will Trojak , Freddie D. Witherden

Time discretizations of phase-field systems have been studied. For example, a time discretization and an error estimate for a parabolic-parabolic phase-field system have been studied by Colli--K. [Commun. Pure Appl. Anal. 18 (2019)]. Also,…

数值分析 · 数学 2021-02-02 Shunsuke Kurima

In this paper we propose a time discretization of a system of two parabolic equations describing diffusion-driven atom rearrangement in crystalline matter. The equations express the balances of microforces and microenergy; the two phase…

偏微分方程分析 · 数学 2019-02-20 Pierluigi Colli , Gianni Gilardi , Pavel Krejčí , Paolo Podio-Guidugli , Jürgen Sprekels

We study hyperbolic systems of one-dimensional partial differential equations under general, possibly non-local boundary conditions. A large class of evolution equations, either on individual 1-dimensional intervals or on general networks,…

偏微分方程分析 · 数学 2021-01-19 Marjeta Kramar Fijavž , Delio Mugnolo , Serge Nicaise

Semi-discrete Runge-Kutta schemes for nonlinear diffusion equations of parabolic type are analyzed. Conditions are determined under which the schemes dissipate the discrete entropy locally. The dissipation property is a consequence of the…

数值分析 · 数学 2015-06-24 Ansgar Jüngel , Stefan Schuchnigg

In this paper we consider time-dependent PDEs discretized by a special class of Physics Informed Neural Networks whose design is based on the framework of Runge--Kutta and related time-Galerkin discretizations. The primary motivation for…

数值分析 · 数学 2026-02-10 Georgios Akrivis , Charalambos G. Makridakis , Costas Smaragdakis

Projection-based reduced order models are effective at approximating parameter-dependent differential equations that are parametrically separable. When parametric separability is not satisfied, which occurs in both linear and nonlinear…

数值分析 · 数学 2021-10-22 Peter Sentz , Kristian Beckwith , Eric C. Cyr , Luke N. Olson , Ravi Patel

In this paper, we present error estimates of fully discrete Runge--Kutta discontinuous Galerkin (DG) schemes for linear time-dependent partial differential equations. The analysis applies to explicit Runge--Kutta time discretizations of any…

数值分析 · 数学 2020-01-07 Zheng Sun , Chi-Wang Shu

This paper is devoted to the construction of exponential integrators of first and second order for the time discretization of constrained parabolic systems. For this extend, we combine well-known exponential integrators for unconstrained…

数值分析 · 数学 2019-07-08 Robert Altmann , Christoph Zimmer

Explicit Runge-Kutta schemes with large stable step sizes are developed for integration of high order spectral difference spatial discretization on quadrilateral grids. The new schemes permit an effective time step that is substantially…

数值分析 · 数学 2013-07-16 M. Parsani , D. I. Ketcheson , W. Deconinck

This paper studies linear discrete kinetic models on networks and their asymptotic behavior in the small Knudsen number limit. For coupling conditions at an n-edge junction under a symmetric formulation, we introduce a change of variables…

数值分析 · 数学 2026-03-11 Axel Klar , Yizhou Zhou
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