中文
相关论文

相关论文: A Boot-Strapping Technique to Design Dense Output …

200 篇论文

This work considers multirate generalized-structure additively partitioned Runge-Kutta (MrGARK) methods for solving stiff systems of ordinary differential equations (ODEs) with multiple time scales. These methods treat different partitions…

数值分析 · 数学 2022-01-19 Steven Roberts , John Loffeld , Arash Sarshar , Carol S. Woodward , Adrian Sandu

A new approach for the construction of high order A-stable explicit integrators for ordinary differential equations (ODEs) is theoretically studied. Basically, the integrators are obtained by splitting, at each time step, the solution of…

数值分析 · 数学 2012-08-24 H. de la Cruz , R. J. Biscay , J. C. Jimenez , F. Carbonell

Gradient flows of unit vector fields arise in a wide range of physical models such as harmonic map heat flows, nematic liquid crystals, and magnetization dynamics. Designing numerical schemes that simultaneously preserve the unit length…

数值分析 · 数学 2026-05-20 Jianan Li , Shuang Liu , Tao Tang , Jiang Yang

We investigate the strong stability preserving (SSP) property of two-step Runge-Kutta (TSRK) methods. We prove that all SSP TSRK methods belong to a particularly simple subclass of TSRK methods, in which stages from the previous step are…

数值分析 · 数学 2012-01-13 David I. Ketcheson , Sigal Gottlieb , Colin B. Macdonald

We consider the efficient numerical solution of coupled dynamical systems, consisting of a small nonlinear part and a large linear time invariant part, possibly stemming from spatial discretization of an underlying partial differential…

数值分析 · 数学 2018-11-27 Herbert Egger , Vsevolod Shashkov , Kersten Schmidt

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

Strong Stability Preserving (SSP) time integration schemes maintain stability of the forward Euler method for any initial value problem. However, only a small subset of Runge-Kutta (RK) methods are SSP, and many efficient high-order time…

数值分析 · 数学 2026-01-28 Mohammad R. Najafian , Brian C. Vermeire

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

A novel class of high-order linearly implicit energy-preserving integrating factor Runge-Kutta methods are proposed for the nonlinear Schr\"odinger equation. Based on the idea of the scalar auxiliary variable approach, the original equation…

数值分析 · 数学 2021-12-07 Chaolong Jiang , Jin Cui , Xu Qian , Songhe Song

In this paper, two new families of fourth-order explicit exponential Runge--Kutta (ERK) methods with four stages are studied for solving first-order differential systems $y'(t)+My(t)=f(y(t))$. By comparing the Taylor series of the exact…

数值分析 · 数学 2024-06-19 Xianfa Hu , Yonglei Fang , Bin Wang

An explicit numerical strategy that practically preserves invariants is derived for conservative systems by combining an explicit high-order Runge-Kutta (RK) scheme with a simple modification of the standard projection approach, which is…

数值分析 · 数学 2020-09-16 Wenjun Cai , Yuezheng Gong , Yushun Wang

We study the convergence of a class of Runge-Kutta type schemes for backward stochastic differential equations (BSDEs) in a Markovian framework. The schemes belonging to the class under consideration benefit from a certain stability…

概率论 · 数学 2014-03-24 Jean-François Chassagneux , Dan Crisan

Exponential Runge--Kutta methods have shown to be competitive for the time integration of stiff semilinear parabolic PDEs. The current construction of stiffly accurate exponential Runge--Kutta methods, however, relies on a convergence…

数值分析 · 数学 2020-09-29 Vu Thai Luan

A wide range of implicit time integration methods, including multi-step, implicit Runge-Kutta, and Galerkin finite-time element schemes, is evaluated in the context of chaotic dynamical systems. The schemes are applied to solve the Lorenz…

计算物理 · 物理学 2024-01-02 Viktoriya Morozova , James G. Coder , Kevin Holst

Strong stability preserving (SSP) Runge-Kutta methods are desirable when evolving in time problems that have discontinuities or sharp gradients and require nonlinear non-inner-product stability properties to be satisfied. Unlike the case…

数值分析 · 数学 2018-10-12 Leah Isherwood , Zachary J. Grant , Sigal Gottlieb

Fully implicit Runge-Kutta (IRK) methods have many desirable accuracy and stability properties as time integration schemes, but high-order IRK methods are not commonly used in practice with large-scale numerical PDEs because of the…

数值分析 · 数学 2021-10-07 Ben S. Southworth , Oliver Krzysik , Will Pazner

This paper focuses on the strong convergence rate of both Runge--Kutta methods and simplified step-$N$ Euler schemes for stochastic differential equations driven by multi-dimensional fractional Brownian motions with $H\in(\frac12,1)$. Based…

数值分析 · 数学 2021-04-23 Jialin Hong , Chuying Huang , Xu Wang

We propose a model order reduction framework for incompressible fluid-structure interaction (FSI) problems based on high-order implicit Runge-Kutta (IRK) methods. We consider separate reduced spaces for fluid velocity, fluid pressure and…

数值分析 · 数学 2025-12-30 Tommaso Taddei , Xuejun Xu , Lei Zhang

A new class of third order Runge-Kutta methods for stochastic differential equations with additive noise is introduced. In contrast to Platen's method, which to the knowledge of the author has been up to now the only known third order…

数值分析 · 数学 2010-09-29 Kristian Debrabant

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