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相关论文: Runge-Kutta and Networks

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This paper develops a new class of linearly implicit time integration schemes called Linearly-Implicit Runge-Kutta-W (LIRK-W) methods. These schemes are based on an implicit-explicit approach which does not require a splitting of the right…

数值分析 · 数学 2016-11-22 Paul Tranquilli , Adrian Sandu , Hong Zhang

In this paper we propose a numerical scheme for partitioned systems of index 2 DAEs, such as those arising from nonholonomic mechanical problems and prove the order of a certain class of Runge-Kutta methods we call of Lobatto-type. The…

数值分析 · 数学 2019-01-30 Rodrigo Takuro Sato Martín de Almagro

A simple and elementary proof of Butcher's theorem on the order conditions of Runge-Kutta methods is presented. It is based on a recursive definition of rooted trees and avoids combinatorial tools such as labelings and Faa di Bruno's…

数值分析 · 数学 2025-10-20 Folkmar Bornemann

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

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

Multirate integration is an increasingly relevant tool that enables scientists to simulate multiphysics systems. Existing multirate methods are designed for equations whose fast and slow variables can be linearly separated using additive or…

数值分析 · 数学 2025-04-07 Tommaso Buvoli , Brian K. Tran , Ben S. Southworth

Recurrent neural networks (RNN) as used in machine learning are commonly formulated in discrete time, i.e. as recursive maps. This brings a lot of advantages for training models on data, e.g. for the purpose of time series prediction or…

动力系统 · 数学 2020-07-02 Zahra Monfared , Daniel Durstewitz

This paper investigates, a new class of fractional order Runge-Kutta (FORK) methods for numerical approximation to the solution of fractional differential equations (FDEs). By using the Caputo generalizedTaylor formula and the total…

数值分析 · 数学 2023-03-06 F. Ghoreishi , R. Ghaffari

The work deals with two major topics concerning the numerical analysis of Runge-Kutta-like (RK-like) methods, namely their stability and order of convergence. RK-like methods differ from additive RK methods in that their coefficients are…

数值分析 · 数学 2025-06-26 Thomas Izgin

A wide range of physical phenomena exhibit auxiliary admissibility criteria, such as conservation of entropy or various energies, which arise implicitly under exact solution of their governing PDEs. However, standard temporal schemes, such…

数值分析 · 数学 2025-03-27 Mohammad R. Najafian , Brian C. Vermeire

The residual-based variational multiscale (VMS) formulation has achieved remarkable success in large-eddy simulation of turbulent flows. However, its temporal discretization has largely remained limited to second-order implicit schemes. The…

流体动力学 · 物理学 2025-12-09 Yujie Sun , Chi Ding , Ju Liu

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

The main objective of this series of papers is to explore the entire landscape of numerical methods for fast nonlinear Fourier transformation (NFT) within the class of integrators known as the exponential integrators. In this paper, we…

数值分析 · 数学 2018-12-13 Vishal Vaibhav

We reconsider the variational derivation of symplectic partitioned Runge-Kutta schemes. Such type of variational integrators are of great importance since they integrate mechanical systems with high order accuracy while preserving the…

数值分析 · 数学 2015-05-08 Cédric M. Campos

Different families of Runge-Kutta-Nystr\"om (RKN) symplectic splitting methods of order 8 are presented for second-order systems of ordinary differential equations and are tested on numerical examples. They show a better efficiency than…

数值分析 · 数学 2022-07-26 F. Casas , S. Blanes , A. Escorihuela-Tomàs

In this paper we generalize the polynomial time integration framework to additively partitioned initial value problems. The framework we present is general and enables the construction of many new families of additive integrators with…

数值分析 · 数学 2023-01-02 Tommaso Buvoli , Ben S. Southworth

In a previous paper, a technique was suggested to avoid order reduction with any explicit exponential Runge-Kutta method when integrating initial boundary value nonlinear problems with time-dependent boundary conditions. In this paper, we…

数值分析 · 数学 2023-07-18 Begoña Cano , María Jesús Moreta

This paper introduces a new class of numerical methods for the time integration of evolution equations set as Cauchy problems of ODEs or PDEs. The systematic design of these methods mixes the Runge-Kutta collocation formalism with…

偏微分方程分析 · 数学 2021-11-19 Guillaume Dujardin , Ingrid Lacroix-Violet

The convergence of a family of AMF-Runge-Kutta methods (in short AMF-RK) for the time integration of evolutionary Partial Differential Equations (PDEs) of Advection Diffusion Reaction type semi-discretized in space is considered. The…

R-matrix is explicitly constructed for simplest representations of the Ding-Iohara-Miki algebra. The calculation is straightforward and significantly simpler than the one through the universal R-matrix used for a similar calculation in the…

高能物理 - 理论 · 物理学 2016-11-24 Hidetoshi Awata , Hiroaki Kanno , Andrei Mironov , Alexei Morozov , Andrey Morozov , Yusuke Ohkubo , Yegor Zenkevich