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相关论文: The Semi-implicit DLN Algorithm for the Navier Sto…

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In the report, we propose a family of variable time-stepping ensemble algorithms for solving multiple incompressible Navier-Stokes equations (NSE) at one pass. The one-leg, two-step methods designed by Dahlquist, Liniger, and Nevanlinna…

数值分析 · 数学 2024-07-30 Wenlong Pei

We consider a family of variable time-stepping Dahlquist-Liniger-Nevanlinna (DLN) schemes, which is unconditional non-linear stable and second order accurate, for the Allen-Cahn equation. The finite element methods are used for the spatial…

数值分析 · 数学 2024-10-01 YiMing Chen , Dianlun Luo , Wenlong Pei , Yulong Xing

Turbulent flows strain resources, both memory and CPU speed. The DLN method has greater accuracy and allows larger time steps, requiring less memory and fewer FLOPS. The DLN method can also be implemented adaptively. The classical…

数值分析 · 数学 2023-09-06 Farjana Siddiqua , Wenlong Pei

In this report, we study the long-time stability of the family of one-leg DLN methods for the two-dimensional incompressible Navier-Stokes equations. The family of DLN methods (with one parameter $\theta$), non-linear energy stable…

数值分析 · 数学 2026-05-07 Isabel Barrio Sanchez , Wenlong Pei , Catalin Trenchea

The one-leg, two-step time-stepping scheme proposed by Dahlquist, Liniger and Nevanlinna has clear advantages in complex, stiff numerical simulations: unconditional $G$-stability for variable time-steps and second-order accuracy. Yet it has…

数值分析 · 数学 2021-08-24 William Layton , Wenlong Pei , Catalin Trenchea

We carry out a stability and convergence analysis of a fully discrete scheme for the time-dependent Navier-Stokes equations resulting from combining an $H(\mathrm{div}, \Omega)$-conforming discontinuous Galerkin spatial discretization, and…

数值分析 · 数学 2025-10-22 L. Beirão da Veiga , F. Dassi , S. Gómez

This report presents a low computational and cognitive complexity, stable, time accurate and adaptive method for the Navier-Stokes equations. The improved method requires a minimally intrusive modification to an existing program based on…

数值分析 · 数学 2019-02-01 Victor DeCaria , William Layton , Haiyun Zhao

The two-step time discretization proposed by Dahlquist, Liniger and Nevanlinna is variable step $G$-stable. (In contrast, for increasing time steps, the BDF2 method loses $A$-stability and suffers non-physical energy growth in the…

数值分析 · 数学 2020-01-24 William Layton , Wenlong Pei , Yi Qin , Catalin Trenchea

This report considers a variable step time discretization algorithm proposed by Dahlquist, Liniger and Nevanlinna and applies the algorithm to the unsteady Stokes/Darcy model. Although long-time forgotten and little explored, the algorithm…

数值分析 · 数学 2020-07-09 Yi Qin , Yanren Hou , Wenlong Pei

In this paper, based on the two-step discretization scheme proposed by Dahlquist, Liniger and Nevanlinna (DLN), we develop a semi-implicit Galerkin finite element method for solving the coupled generalized Ginzburg-Landau equations. By…

数值分析 · 数学 2026-01-12 Zhen Guan , Xianxian Cao , Junjun Wang

We present an efficient discontinuous Galerkin scheme for simulation of the incompressible Navier-Stokes equations including laminar and turbulent flow. We consider a semi-explicit high-order velocity-correction method for time integration…

数值分析 · 数学 2017-08-15 Benjamin Krank , Niklas Fehn , Wolfgang A. Wall , Martin Kronbichler

This paper is concerned with temporal convergence analysis of the recently introduced Dynamically Regularized Lagrange Multiplier (DRLM) method for the incompressible Navier-Stokes equations. A key feature of the DRLM approach is the…

数值分析 · 数学 2025-08-20 Cao-Kha Doan , Thi-Thao-Phuong Hoang , Lili Ju , Rihui Lan

A new type of low-regularity integrator is proposed for Navier-Stokes equations, coupled with a stabilized finite element method in space. Unlike the other low-regularity integrators for nonlinear dispersive equations, which are all fully…

数值分析 · 数学 2021-07-29 Buyang Li , Shu Ma , Katharina Schratz

A numerical method for the two-dimensional, incompressible Navier--Stokes equations in vorticity--streamfunction form is proposed, which employs semi-Lagrangian discretizations for both the advection and diffusion terms, thus achieving…

数值分析 · 数学 2018-01-30 Luca Bonaventura , Roberto Ferretti , Lorenzo Rocchi

In this paper we propose a novel and general approach to design semi-implicit methods for the simulation of fluid-structure interaction problems in a fully Eulerian framework. In order to properly present the new method, we focus on the…

数值分析 · 数学 2023-10-31 Mirco Ciallella , Thomas Milcent

Efficient simulation of the Navier-Stokes equations for fluid flow is a long standing problem in applied mathematics, for which state-of-the-art methods require large compute resources. In this work, we propose a data-driven approach that…

计算机视觉与模式识别 · 计算机科学 2022-11-10 Jonathan Tompson , Kristofer Schlachter , Pablo Sprechmann , Ken Perlin

The companion paper "Higher-order in time quasi-unconditionally stable ADI solvers for the compressible Navier-Stokes equations in 2D and 3D curvilinear domains", which is referred to as Part I in what follows, introduces ADI (Alternating…

计算物理 · 物理学 2018-01-11 Oscar Bruno , Max Cubillos

In this paper we propose a new spatially high order accurate semi-implicit discontinuous Galerkin (DG) method for the solution of the two dimensional incompressible Navier-Stokes equations on staggered unstructured curved meshes. While the…

数值分析 · 数学 2014-07-07 Maurizio Tavelli , Michael Dumbser

We propose in this paper efficient first/second-order time-stepping schemes for the evolutional Navier-Stokes-Nernst-Planck-Poisson equations. The proposed schemes are constructed using an auxiliary variable reformulation and sophisticated…

数值分析 · 数学 2023-05-17 Xiaolan Zhou , Chuanju Xu

In this paper, both semidiscrete and fully discrete finite element methods are analyzed for the penalized two-dimensional unsteady Navier-Stokes equations with nonsmooth initial data. First order backward Euler method is applied for the…

数值分析 · 数学 2026-04-16 Bikram Bir , Deepjyoti Goswami , Amiya K. Pani
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