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Computational fluid dynamics (CFD) simulations of viscous fluids described by the Navier-Stokes equations are considered. Depending on the Reynolds number of the flow, the Navier-Stokes equations may exhibit a highly nonlinear behavior. The…

数值分析 · 数学 2023-10-11 Anouk Zandbergen , Tycho van Noorden , Alexander Heinlein

This paper extends the algorithm of Benner, Heinkenschloss, Saak, and Weichelt: An inexact low-rank Newton-ADI method for large-scale algebraic Riccati equations, Applied Numerical Mathematics Vol.~108 (2016), pp.~125--142,…

数值分析 · 数学 2021-05-10 Peter Benner , Matthias Heinkenschloss , Jens Saak , Heiko K. Weichelt

This paper is concerned with the convergence of a two-step modified Newton method for solving the nonlinear system arising from the minimal nonnegative solution of nonsymmetric algebraic Riccati equations from neutron transport theory. We…

数值分析 · 数学 2025-07-22 Juan Liang , Yonghui Ling

The use of implicit time-stepping schemes for the numerical approximation of solutions to stiff nonlinear time-evolution equations brings well-known advantages including, typically, better stability behaviour and corresponding support of…

数值分析 · 数学 2025-02-14 Tianyu Jin , Georg Maierhofer , Katharina Schratz , Yang Xiang

The traditional Newton method for solving nonlinear operator equations in Banach spaces is discussed within the context of the continuous Newton method. This setting makes it possible to interpret the Newton method as a discrete dynamical…

数值分析 · 数学 2016-07-13 Mario Amrein , Thomas P. Wihler

We develop a novel and efficient iterative scheme for solving incompressible steady Navier-Stokes equations. The method is an adaptation of the Incremental Viscosity Splitting approximation for unsteady flows to steady equations. At each…

数值分析 · 数学 2026-05-07 Aziz Takhirov , Driss Yakoubi

In this work, we propose a generalized alternating Anderson acceleration method, a periodic scheme composed of $t$ fixed-point iteration steps, interleaved with $s$ steps of Anderson acceleration with window size $m$, to solve linear and…

数值分析 · 数学 2026-02-02 Yunhui He , Santolo Leveque

We present a principled approach for designing stochastic Newton methods for solving finite sum optimization problems. Our approach has two steps. First, we re-write the stationarity conditions as a system of nonlinear equations that…

最优化与控制 · 数学 2023-12-25 Jiabin Chen , Rui Yuan , Guillaume Garrigos , Robert M. Gower

Sequential implicit (SI) formulations are gaining increasing interest due to their ability to decouple reservoir simulation problems into distinct flow and transport subproblems, allowing for the use of specialized solvers tailored to each.…

数值分析 · 数学 2025-04-29 Omar Chaabi , Mohammed Al-Kobaisi

Although Anderson acceleration (AA) is known to speed up fixed-point iterations, it is rarely applied in constrained optimization, in particular sequential quadratic programming (SQP). We show that the local convergence behavior of a…

最优化与控制 · 数学 2026-04-17 Jonathan Frey , David Kiessling , Katrin Baumgärtner , Moritz Diehl

This paper examines a number of extrapolation and acceleration methods, and introduces a few modifications of the standard Shanks transformation that deal with general sequences. One of the goals of the paper is to lay out a general…

数值分析 · 数学 2021-07-09 Claude Brezinski , Stefano Cipolla , Michela Redivo-Zaglia , Yousef Saad

We construct new first- and second-order pressure correction schemes using the scalar auxiliary variable (SAV) approach for the Navier-Stokes equations. These schemes are linear, decoupled and only require a sequence of solving Poisson type…

数值分析 · 数学 2020-02-24 Xiaoli Li , Jie Shen , Zhengguang Liu

We consider the application of the type-I Anderson acceleration to solving general non-smooth fixed-point problems. By interleaving with safe-guarding steps, and employing a Powell-type regularization and a re-start checking for strong…

最优化与控制 · 数学 2018-08-14 Junzi Zhang , Brendan O'Donoghue , Stephen Boyd

Anderson acceleration (AA) is a technique for accelerating the convergence of fixed-point iterations. In this paper, we apply AA to a sequence of functions and modify the norm in its internal optimization problem to the $\mathcal{H}^{-s}$…

数值分析 · 数学 2021-09-14 Yunan Yang , Alex Townsend , Daniel Appelö

Anderson acceleration (AA) is a popular method for accelerating fixed-point iterations, but may suffer from instability and stagnation. We propose a globalization method for AA to improve stability and achieve unified global and local…

最优化与控制 · 数学 2023-05-03 Wenqing Ouyang , Jiong Tao , Andre Milzarek , Bailin Deng

The Newmark/Newton-Raphson (NNR) method is widely employed for solving nonlinear dynamic systems. However, the current NNR method exhibits limited applicability in complex nonlinear dynamic systems, as the acquisition of the Jacobian matrix…

计算工程、金融与科学 · 计算机科学 2025-06-17 Yifan Jiang , Yuhong Jin , Lei Hou , Yi Chen , Andong Cong

In this article we present robust, efficient and accurate fully implicit time-stepping schemes and nonlinear solvers for systems of reaction-diffusion equations. The applications of reaction-diffusion systems is abundant in the literature,…

数值分析 · 数学 2015-01-26 Anotida Madzvamuse , Andy H. W. Chung

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

We prove that there exists a nontrivial finite energy periodic stationary weak solution to the 3D Navier-Stokes equations (NSE). The construction relies on a convex integration scheme utilizing new stationary building blocks designed…

偏微分方程分析 · 数学 2020-08-24 Alexey Cheskidov , Xiaoyutao Luo

We propose a modification to the nonlinear term of the three-dimensional incompressible Navier-Stokes equations (NSE) in either advective or rotational form which "calms" the system in the sense that the algebraic degree of the nonlinearity…

偏微分方程分析 · 数学 2024-01-01 Matthew Enlow , Adam Larios , Jiahong Wu