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相关论文: Relaxation Runge-Kutta Methods: Conservation and s…

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The framework of inner product norm preserving relaxation Runge-Kutta methods (David I. Ketcheson, \emph{Relaxation Runge-Kutta Methods: Conservation and Stability for Inner-Product Norms}, SIAM Journal on Numerical Analysis, 2019) is…

The recently-introduced relaxation approach for Runge-Kutta methods can be used to enforce conservation of energy in the integration of Hamiltonian systems. We study the behavior of implicit and explicit relaxation Runge-Kutta methods in…

数值分析 · 数学 2020-07-13 Hendrik Ranocha , David I. Ketcheson

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 entropy-preserving and entropy-stable partitioned Runge--Kutta (RK) methods. In particular, we extend the explicit relaxation Runge--Kutta methods to IMEX--RK methods and a class of explicit second-order multirate methods for…

数值分析 · 数学 2022-07-21 Shinhoo Kang , Emil M. Constantinescu

Explicit Runge-Kutta methods are classical and widespread techniques in the numerical solution of ordinary differential equations (ODEs). Considering partial differential equations, spatial semidiscretisations can be used to obtain systems…

数值分析 · 数学 2020-04-08 Hendrik Ranocha

Many time-dependent differential equations are equipped with invariants. Preserving such invariants under discretization can be important, e.g., to improve the qualitative and quantitative properties of numerical solutions. Recently,…

数值分析 · 数学 2023-11-27 Sebastian Bleecke , Hendrik Ranocha

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

数值分析 · 数学 2024-01-29 Mohammad R. Najafian , Brian C. Vermeire

A novel optimization procedure for the generation of stability polynomials of stabilized explicit Runge-Kutta methods is devised. Intended for semidiscretizations of hyperbolic partial differential equations, the herein developed approach…

数值分析 · 数学 2024-03-19 Daniel Doehring , Gregor J. Gassner , Manuel Torrilhon

We present novel entropy-conservative and entropy-stable multirate Runge-Kutta methods based on Paired Explicit Runge-Kutta (P-ERK) schemes with relaxation for conservation laws and related systems of partial differential equations.…

数值分析 · 数学 2025-07-09 Daniel Doehring , Hendrik Ranocha , Manuel Torrilhon

In this technical note a general procedure is described to construct internally consistent splitting methods for the numerical solution of differential equations, starting from matching pairs of explicit and diagonally implicit Runge-Kutta…

数值分析 · 数学 2017-07-17 Willem Hundsdorfer

We generalize the idea of relaxation time stepping methods in order to preserve multiple nonlinear conserved quantities of a dynamical system by projecting along directions defined by multiple time stepping algorithms. Similar to the…

数值分析 · 数学 2023-02-13 Abhijit Biswas , David I. Ketcheson

We prove that Runge-Kutta (RK) methods for numerical integration of arbitrarily large systems of Ordinary Differential Equations are linearly stable. Standard stability arguments -- based on spectral analysis, resolvent condition or strong…

数值分析 · 数学 2023-12-27 Eitan Tadmor

We present an approach for the efficient implementation of self-adjusting multi-rate Runge-Kutta methods and we introduce a novel stability analysis, that covers the multi-rate extensions of all standard Runge-Kutta methods and allows to…

High order spatial discretizations with monotonicity properties are often desirable for the solution of hyperbolic PDEs. These methods can advantageously be coupled with high order strong stability preserving time discretizations. The…

数值分析 · 数学 2014-03-27 Sigal Gottlieb , Zachary J. Grant , Daniel Higgs

We construct a family of embedded pairs for optimal strong stability preserving explicit Runge-Kutta methods of order $2 \leq p \leq 4$ to be used to obtain numerical solution of spatially discretized hyperbolic PDEs. In this construction,…

数值分析 · 数学 2022-05-17 Sidafa Conde , Imre Fekete , John N. Shadid

Stabilized Runge-Kutta methods are especially efficient for the numerical solution of large systems of stiff nonlinear differential equations because they are fully explicit. For semi-discrete parabolic problems, for instance, stabilized…

数值分析 · 数学 2022-04-05 Assyr Abdulle , Marcus J. Grote , Giacomo Rosilho de Souza

Relaxation Runge-Kutta methods reproduce a fully discrete dissipation (or conservation) of entropy for entropy stable semi-discretizations of nonlinear conservation laws. In this paper, we derive the discrete adjoint of relaxation…

数值分析 · 数学 2021-07-27 Mario J. Bencomo , Jesse Chan

High-order spatial discretizations with strong stability properties (such as monotonicity) are desirable for the solution of hyperbolic PDEs. Methods may be compared in terms of the strong stability preserving (SSP) time-step. We prove an…

Many important initial value problems have the property that energy is non-increasing in time. Energy stable methods, also referred to as strongly stable methods, guarantee the same property discretely. We investigate requirements for…

数值分析 · 数学 2020-11-26 Hendrik Ranocha , David I. Ketcheson

Using a recent characterization of energy-preserving B-series, we derive the explicit conditions on the coefficients of a Runge-Kutta method that ensure energy preservation (for Hamiltonian systems) up to a given order in the step size,…

数值分析 · 数学 2025-01-24 Gabriel A. Barrios de León , David I. Ketcheson , Hendrik Ranocha
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