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In the numerical solution of partial differential equations using a method-of-lines approach, the availability of high order spatial discretization schemes motivates the development of sophisticated high order time integration methods. For…

数值分析 · 计算机科学 2016-11-25 Hong Zhang , Adrian Sandu , Sebastien Blaise

A recently developed high-order implicit shock tracking (HOIST) framework for resolving discontinuous solutions of inviscid, steady conservation laws [41, 43] is extended to the unsteady case. Central to the framework is an optimization…

数值分析 · 数学 2022-01-26 Andrew Shi , Per-Olof Persson , Matthew Zahr

The generalized-$\alpha$ time-marching method provides second-order accuracy in time and controls the numerical dissipation in the high-frequency region of the discrete spectrum. This method includes a wide range of time integrators. We…

数值分析 · 数学 2019-06-17 Pouria Behnoudfar , Quanling Deng , Victor M. Calo

Isospectral Runge-Kutta methods are well-suited for the numerical solution of isospectral systems such as the rigid body and the Toda lattice. More recently, these integrators have been applied to geophysical fluid models, where their…

数值分析 · 数学 2025-06-10 Clauson Carvalho da Silva , Christian Lessig , Carlos Tomei

We consider the construction of semi-implicit linear multistep methods which can be applied to time dependent PDEs where the separation of scales in additive form, typically used in implicit-explicit (IMEX) methods, is not possible. As…

数值分析 · 数学 2020-01-14 Giacomo Albi , Lorenzo Pareschi

In this paper, we design high order accurate and stable finite difference schemes for the initial-boundary value problem, associated with the magnetic induction equation with resistivity. We use Summation-By-Parts (SBP) finite difference…

偏微分方程分析 · 数学 2011-02-03 U. Koley , S. Mishra , N. H. Risebro , And M. Svard

Finite element discretization of time dependent problems also require effective time-stepping schemes. While implicit Runge-Kutta methods provide favorable accuracy and stability problems, they give rise to large and complicated systems of…

数值分析 · 数学 2023-05-01 Robert C. Kirby

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 study the numerical solutions of time-dependent systems of partial differential equations, focusing on the implementation of boundary conditions. The numerical method considered is a finite difference scheme constructed by high order…

数值分析 · 数学 2017-10-31 Sofia Eriksson

A generalised analytical notion of summation-by-parts (SBP) methods is proposed, extending the concept of SBP operators in the correction procedure via reconstruction (CPR), a framework of high-order methods for conservation laws. For the…

数值分析 · 数学 2017-04-26 Hendrik Ranocha , Philipp Öffner , Thomas Sonar

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

To enhance the scalability and performance of the traditional finite-difference time-domain (FDTD) methods, a three-dimensional summation-by-parts simultaneous approximation term (SBP-SAT) FDTD method is developed to solve complex…

计算工程、金融与科学 · 计算机科学 2022-06-02 Yu Cheng , Hanhong Liu , Xinsong Wang , Guangzhi Chen , Xiang-Hua Wang , Xingqi Zhang , Shunchuan Yang , Zhizhang Chen

In this paper we discuss the use of implicit Runge-Kutta schemes for the time discretization of optimal control problems with evolution equations. The specialty of the considered discretizations is that the discretizations schemes for the…

数值分析 · 数学 2013-11-05 Thomas G. Flaig

The aim of this paper is to construct and analyze explicit exponential Runge-Kutta methods for the temporal discretization of linear and semilinear integro-differential equations. By expanding the errors of the numerical method in terms of…

数值分析 · 数学 2023-01-24 Alexander Ostermann , Fardin Saedpanah , Nasrin Vaisi

High order strong stability preserving (SSP) time discretizations ensure the nonlinear non-inner-product strong stability properties of spatial discretizations suited for the stable simulation of hyperbolic PDEs. Over the past decade…

数值分析 · 数学 2024-12-20 Sigal Gottlieb , Zachary J. Grant

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

In this paper we present and analyze a general framework for constructing high order explicit local time stepping (LTS) methods for hyperbolic conservation laws. In particular, we consider the model problem discretized by Runge-Kutta…

数值分析 · 数学 2019-05-24 Thi-Thao-Phuong Hoang , Lili Ju , Wei Leng , Zhu Wang

We develop summation by parts (SBP) approach for generating high-order finite-difference schemes on the interval and propose new sets of schemes up to the 12th order. The coefficients of the schemes are governed by values of grid spacing…

数值分析 · 数学 2017-12-08 Leonid Dovgilovich , Rustem Maksyutov , Ivan Sofronov

Immersed boundary methods have attracted substantial interest in the last decades due to their potential for computations involving complex geometries. Often these cannot be efficiently discretized using boundary-fitted finite elements.…

计算工程、金融与科学 · 计算机科学 2026-01-13 Tim Bürchner , Lars Radtke , Philipp Kopp , Stefan Kollmannsberger , Ernst Rank , Alexander Düster

High-order entropy stable summation-by-parts (SBP) schemes are a class of robust and accurate numerical methods for hyperbolic conservation laws that are numerically stable at arbitrary order without the need for artificial stabilization.…

数值分析 · 数学 2024-12-18 Christina G. Taylor , Jesse Chan