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Based on the combinatory theory of rooted colored trees, we investigate the conditions for the explicit stochastic Runge-Kutta (SRK) methods to preserve quadratic invariants (QI) up to certain orders of accuracy. These conditions can supply…

数值分析 · 数学 2014-10-24 Jialin Hong , Lijin Wang , Dongsheng Xu , Liying Zhang

In this work we present a new class of Runge-Kutta (RK) methods for solving systems of hyperbolic equations with a particular structure, generalization of a wave-equation. The new methods are {\it partially implicit} in the sense that a…

数学物理 · 物理学 2016-11-10 Isabel Cordero-Carrión , Pablo Cerdá-Durán

The class of stochastic Runge-Kutta methods for stochastic differential equations due to R\"o{\ss}ler is considered. Coefficient families of diagonally drift-implicit stochastic Runge-Kutta (DDISRK) methods of weak order one and two are…

数值分析 · 数学 2016-05-10 Kristian Debrabant , Andreas Rößler

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

Strong stability is a property of time integration schemes for ODEs that preserve temporal monotonicity of solutions in arbitrary (inner product) norms. It is proved that explicit Runge--Kutta schemes of order $p\in 4\mathbb{N}$ with $s=p$…

数值分析 · 数学 2023-08-11 Franz Achleitner , Anton Arnold , Ansgar Jüngel

A new Runge-Kutta-Nystr\"om method, with phase-lag of order infinity, for the integration of second-order periodic initial-value problems is developed in this paper. The new method is based on the Dormand and Prince Runge-Kutta-Nystr\"om…

数值分析 · 数学 2015-05-13 D. F. Papadopoulos , Z. A. Anastassi , T. E. Simos

This paper deals with stability of classical Runge-Kutta collocation methods. When such methods are embedded in linearly implicit methods as developed in [12] and used in [13] for the time integration of nonlinear evolution PDEs, the…

数值分析 · 数学 2023-04-20 Guillaume Dujardin , Ingrid Lacroix-Violet

We propose a kernel compression method for solving Distributed-Order (DO) Fractional Partial Differential Equations (DOFPDEs) at the cost of solving corresponding local-in-time PDEs. The key concepts are (1) discretization of the integral…

数值分析 · 数学 2025-08-20 Jonas Beddrich , Barbara Wohlmuth

Using geometric methods for linearizing systems of second order cubically semi-linear ordinary differential equations and third order quintically semi-linear ordinary differential equations, we extend to the fourth order by differentiating…

经典分析与常微分方程 · 数学 2007-12-27 F. M. Mahomed , A. Qadir

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

We propose a new probabilistic scheme which combines deep learning techniques with high order schemes for backward stochastic differential equations belonging to the class of Runge-Kutta methods to solve high-dimensional semi-linear…

数值分析 · 数学 2023-01-02 Jean-François Chassagneux , Junchao Chen , Noufel Frikha

One of main obstacles in verifying the energy dissipation laws of implicit-explicit Runge-Kutta (IERK) methods for phase field equations is to establish the uniform boundedness of stage solutions without the global Lipschitz continuity…

数值分析 · 数学 2024-12-11 Hong-lin Liao , Tao Tang , Xuping Wang , Tao Zhou

For the approximation of solutions for stochastic partial differential equations, numerical methods that obtain a high order of convergence and at the same time involve reasonable computational cost are of particular interest. We therefore…

数值分析 · 数学 2024-12-12 Claudine von Hallern , Ricarda Mißfeldt , Andreas Rößler

In this paper, exponential Runge-Kutta methods of collocation type (ERKC) which were originally proposed in (Appl Numer Math 53:323-339, 2005) are extended to semilinear parabolic problems with time-dependent delay. Two classes of the ERKC…

数值分析 · 数学 2025-12-30 Qiumei Huang , Alexander Ostermann , Gangfan Zhong

We generalize previous work by Mardal, Nilssen, and Staff (2007, SIAM J. Sci. Comp. v. 29, pp. 361-375) and Rana, Howle, Long, Meek, and Milestone (2021, SIAM J. Sci. Comp. v. 43, p. 475-495) on order-optimal preconditioners for parabolic…

数值分析 · 数学 2022-06-22 Michael R. Clines , Victoria E. Howle , Katharine R. Long

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

In this work, we aim at constructing numerical schemes, that are as efficient as possible in terms of cost and conservation of invariants, for the Vlasov--Fokker--Planck system coupled with Poisson or Amp\`ere equation. Splitting methods…

数值分析 · 数学 2023-06-13 Ibrahim Almuslimani , Nicolas Crouseilles

In this work, an approximate family of implicit multiderivative Runge-Kutta (MDRK) time integrators for stiff initial value problems is presented. The approximation procedure is based on the recent Approximate Implicit Taylor method (Baeza…

数值分析 · 数学 2023-02-07 Jeremy Chouchoulis , Jochen Schütz

This paper presents a systematic theoretical framework to derive the energy identities of general implicit and explicit Runge--Kutta (RK) methods for linear seminegative systems. It generalizes the stability analysis of explicit RK methods…

数值分析 · 数学 2022-01-19 Zheng Sun , Yuanzhe Wei , Kailiang Wu

In this paper, we present continuous-stage partitioned Runge-Kutta (csPRK) methods for energy-preserving integration of Hamiltonian systems. A sufficient condition for the energy preservation of the csPRK methods is derived. It is shown…

数值分析 · 数学 2025-07-25 Wensheng Tang