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相关论文: Explicit Runge-Kutta Methods with Multiquadric and…

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In this paper, two novel classes of implicit exponential Runge-Kutta (ERK) methods are studied for solving highly oscillatory systems. First of all, we analyze the symplectic conditions of two kinds of exponential integrators, and present a…

数值分析 · 数学 2023-12-05 Xianfa Hu , Wansheng Wang , Bin Wang , Yonglei Fang

An error analysis is presented for explicit partitioned Runge-Kutta methods and multirate methods applied to conservation laws. The interfaces, across which different methods or time steps are used, lead to order reduction of the schemes.…

数值分析 · 数学 2013-10-29 Willem Hundsdorfer , David I. Ketcheson , Igor Savostianov

We propose an efficient algorithm for the approximation of fractional integrals by using Runge--Kutta based convolution quadrature. The algorithm is based on a novel integral representation of the convolution weights and a special…

数值分析 · 数学 2019-07-29 Lehel Banjai , María López-Fernández

Recent developments have made it possible to overcome grid-based limitations of finite difference (FD) methods by adopting the kernel-based meshless framework using radial basis functions (RBFs). Such an approach provides a meshless…

数值分析 · 数学 2019-01-07 Pankaj K Mishra , Gregory E Fasshauer , Mrinal K Sen , Leevan Ling

Maximum bound principle (MBP) is an important property for a large class of semilinear parabolic equations, in the sense that the time-dependent solution of the equation with appropriate initial and boundary conditions and nonlinear…

数值分析 · 数学 2021-04-21 Jingwei Li , Xiao Li , Lili Ju , Xinlong Feng

Exponential Runge-Kutta methods for semilinear ordinary differential equations can be extended to abstract differential equations, defined on Banach spaces. Thanks to the sun-star theory, both delay differential equations and renewal…

数值分析 · 数学 2024-10-02 Alessia Ando' , Rossana Vermiglio

This work generalizes the additively partitioned Runge-Kutta methods by allowing for different stage values as arguments of different components of the right hand side. An order conditions theory is developed for the new family of…

数值分析 · 计算机科学 2013-10-22 Adrian Sandu , Michael Guenther

While implicit Runge--Kutta methods possess high order accuracy and important stability properties, implementation difficulties and the high expense of solving the coupled algebraic system at each time step are frequently cited as…

数值分析 · 数学 2020-07-01 Patrick E. Farrell , Robert C. Kirby , Jorge Marchena-Menendez

Runge-Kutta methods are affine equivariant: applying a method before or after an affine change of variables yields the same numerical trajectory. However, for some applications, one would like to perform numerical integration after a…

数值分析 · 数学 2026-03-17 Ari Stern , Milo Viviani

This note carries three purposes involving our latest advances on the radial basis function (RBF) approach. First, we will introduce a new scheme employing the boundary knot method (BKM) to nonlinear convection-diffusion problem. It is…

计算工程、金融与科学 · 计算机科学 2007-05-23 W. Chen , W. He

Constructing explicit Runge--Kutta (ERK) methods with as few stages as possible for a given order is a classical problem in numerical analysis. In this work, we introduce a $Q$/$D$-space framework of sufficient order conditions for ERK…

数值分析 · 数学 2026-05-19 Junyuan He , Jizu Huang

This paper aims to survey our recent work relating to the radial basis function (RBF) from some new views of points. In the first part, we established the RBF on numerical integration analysis based on an intrinsic relationship between the…

计算工程、金融与科学 · 计算机科学 2007-05-23 W. Chen , M. Tanaka

Problems that feature significantly different time scales, where the stiff time-step restriction comes from a linear component, implicit-explicit (IMEX) methods alleviate this restriction if the concern is linear stability. However, where…

数值分析 · 数学 2019-04-16 Leah Isherwood , Zachary J. Grant , Sigal Gottlieb

In this paper we derive and analyze the properties of explicit singly diagonal implicit Runge-Kutta (ESDIRK) integration methods. We discuss the principles for construction of Runge-Kutta methods with embedded methods of different order for…

数值分析 · 数学 2018-03-06 John Bagterp Jørgensen , Morten Rode Kristensen , Per Grove Thomsen

This paper introduces the Runge-Kutta Chebyshev descent method (RKCD) for strongly convex optimisation problems. This new algorithm is based on explicit stabilised integrators for stiff differential equations, a powerful class of numerical…

最优化与控制 · 数学 2020-06-30 Armin Eftekhari , Bart Vandereycken , Gilles Vilmart , Konstantinos C. Zygalakis

Runge-Kutta methods are the classic family of solvers for ordinary differential equations (ODEs), and the basis for the state of the art. Like most numerical methods, they return point estimates. We construct a family of probabilistic…

机器学习 · 统计学 2014-10-27 Michael Schober , David Duvenaud , Philipp Hennig

We derive stability estimates for three commonly used radial basis function (RBF) methods to solve hyperbolic time-dependent PDEs: the RBF generated finite difference (RBF-FD) method, the RBF partition of unity method (RBF-PUM) and Kansa's…

数值分析 · 数学 2024-08-27 Igor Tominec , Murtazo Nazarov , Elisabeth Larsson

This paper investigates the energy conservation properties of explicit Runge--Kutta (RK) time discretizations for autonomous skew-symmetric systems. For linear problems, we present a general framework for constructing RK methods in which…

数值分析 · 数学 2026-05-12 Jinjie Liu , Moysey Brio

We consider Implicit-Explicit (IMEX) Runge-Kutta (R-K) schemes for hyperbolic systems with stiff relaxation in the so-called diffusion limit. In such regime the system relaxes towards a convection-diffusion equation. The first objective of…

数值分析 · 数学 2015-05-30 S. Boscarino , L. Pareschi , G. Russo

Most problems in electrodynamics do not have an analytical solution so much effort has been put in the development of numerical schemes, such as the finite-difference method, volume element methods, boundary element methods, and related…

数值分析 · 数学 2023-01-03 L. Ponzellini Marinelli , L. Raviola