中文
相关论文

相关论文: A method for relaxing the CFL-condition in time ex…

200 篇论文

We propose novel ensemble calculation methods for Navier-Stokes equations subject to various initial conditions, forcing terms and viscosity coefficients. We establish the stability of the schemes under a CFL condition involving velocity…

数值分析 · 数学 2019-08-05 Aziz Takhirov , Jiajia Waters

For conventional smoothed particle hydrodynamics (SPH), obtaining the static solution of a problem is time-consuming. To address this drawback, we propose an efficient dynamic relaxation method by adding large artificial-viscosity-based…

计算工程、金融与科学 · 计算机科学 2021-03-17 Yujie Zhu , Chi Zhang , Xiangyu Hu

The 2-step staggered (also called leap-frog) time discretisation of linear 2nd-order Hamiltonian systems (typically linear elastodynamics in a stress-velocity form) is extended for a 3-step staggered discretisation applicable for systems…

数值分析 · 数学 2019-04-02 Tomas Roubicek , Christos Panagiotopoulos , Chrysoula Tsogka

In this work we study different Implicit-Explicit (IMEX) schemes for incompressible flow problems with variable viscosity. Unlike most previous work on IMEX schemes, which focuses on the convective part, we here focus on treating parts of…

数值分析 · 数学 2024-08-21 Gabriel R. Barrenechea , Ernesto Castillo , Douglas R. Q. Pacheco

When modeling astrophysical fluid flows, it is often appropriate to discard the canonical magnetohydrodynamic approximation thereby freeing the magnetic field to diffuse with respect to the bulk velocity field. As a consequence, however,…

天体物理学 · 物理学 2009-11-13 Stephen O'Sullivan , Turlough P. Downes

This paper deals with a time-split explicit/implicit approach for solving a two-dimensional hydrodynamic flow model with appropriate initial and boundary conditions. The time-split technique is employed to upwind the convection term and to…

数值分析 · 数学 2024-12-18 Eric Ngondiep

In this paper, we propose and analyze an efficient implicit--explicit (IMEX) second order in time backward differentiation formulation (BDF2) scheme with variable time steps for gradient flow problems using the scalar auxiliary variable…

数值分析 · 数学 2022-04-04 Dianming Hou , Zhonghua Qiao

This manuscript contains some thoughts on the discretization of the classical heat equation. Namely, we discuss the advantages and disadvantages of explicit and implicit schemes. Then, we show how to overcome some disadvantages while…

数值分析 · 计算机科学 2020-02-21 Denys Dutykh

Many applications of computational fluid dynamics require multiple simulations of a flow under different input conditions. In this paper, a numerical algorithm is developed to efficiently determine a set of such simulations in which the…

数值分析 · 数学 2017-05-29 Max Gunzburger , Nan Jiang , Zhu Wang

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

When applying the classical multistep schemes for solving differential equations, one often faces the dilemma that smaller time steps are needed with higher-order schemes, making it impractical to use high-order schemes for stiff problems.…

数值分析 · 数学 2024-05-02 Fukeng Huang , Jie Shen

A framework for exponential time discretization of the multilayer rotating shallow water equations is developed in combination with a mimetic discretization in space. The method is based on a combination of existing exponential time…

数值分析 · 数学 2019-08-27 Konstantin Pieper , K. Chad Sockwell , Max Gunzburger

This work aims to introduce a heuristic timestep-adaptive algorithm for Computational Fluid Dynamics (CFD) and Fluid-Structure Interaction (FSI) problems where the flow is dominated by the pressure. In such scenarios, many time-adaptive…

数值分析 · 数学 2024-07-02 Ivan Prusak , Davide Torlo , Monica Nonino , Gianluigi Rozza

A component-splitting method is proposed to improve convergence characteristics for implicit time integration of compressible multicomponent reactive flows. The characteristic decomposition of flux jacobian of multicomponent Navier-Stokes…

数值分析 · 数学 2024-03-07 Jingchao Zhang , Jinsheng Cai , Shucheng Pan

Explicit time-marching schemes are popular for solving time-dependent partial differential equations; one of the biggest challenges these methods suffer is increasing the critical time-marching step size that guarantees numerical stability.…

数值分析 · 数学 2022-03-24 Quanling Deng , Pouria Behnoudfar , Victor Calo

This work proposes a general strategy for solving possibly nonlinear problems arising from implicit time discretizations as a sequence of explicit solutions. The resulting sequence may exhibit instabilities similar to those of the base…

数值分析 · 数学 2025-10-21 Nicolas A. Barnafi , Felipe Galarce , Pablo Brubeck

Starting from a recent a posteriori error estimator for the finite element solution of the wave equation with explicit time-stepping [Grote, Lakkis, Santos, 2024], we devise a space-time adaptive strategy which includes both time evolving…

数值分析 · 数学 2026-01-07 Marcus J. Grote , Omar Lakkis , Carina S. Santos

Collaborative filtering (CF) is a popular technique in today's recommender systems, and matrix approximation-based CF methods have achieved great success in both rating prediction and top-N recommendation tasks. However, real-world…

机器学习 · 计算机科学 2018-11-07 Dongsheng Li , Chao Chen , Qin Lv , Junchi Yan , Li Shang , Stephen M. Chu

In this paper, we address the full discretization of Friedrichs' systems with a two-field structure, such as Maxwell's equations or the acoustic wave equation in div-grad form, cf. [14]. We focus on a discontinuous Galerkin space…

数值分析 · 数学 2025-03-10 Marlis Hochbruck , Malik Scheifinger

We are interested in high-order linear multistep schemes for time discretization of adjoint equations arising within optimal control problems. First we consider optimal control problems for ordinary differential equations and show loss of…

数值分析 · 数学 2018-07-24 Giacomo Albi , Michael Herty , Lorenzo Pareschi