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We examine stability properties of primal-dual gradient flow dynamics for composite convex optimization problems with multiple, possibly nonsmooth, terms in the objective function under the generalized consensus constraint. The proposed…

最优化与控制 · 数学 2026-01-14 Ibrahim K. Ozaslan , Panagiotis Patrinos , Mihailo R. Jovanović

We introduce in this paper two time discretization schemes tailored for a range of Wasserstein gradient flows. These schemes are designed to preserve mass, positivity and to be uniquely solvable. In addition, they also ensure energy…

数值分析 · 数学 2024-07-15 Shiheng Zhang , Jie Shen

We present and analyze a new second-order finite difference scheme for the Macromolecular Microsphere Composite hydrogel, Time-Dependent Ginzburg-Landau (MMC-TDGL) equation, a Cahn-Hilliard equation with Flory-Huggins-deGennes energy…

数值分析 · 数学 2020-08-26 Lixiu Dong , Cheng Wang , Hui Zhang , Zhengru Zhang

We propose a new Lagrange Multiplier approach to design unconditional energy stable schemes for gradient flows. The new approach leads to unconditionally energy stable schemes that are as accurate and efficient as the recently proposed SAV…

数值分析 · 数学 2020-06-24 Qing Cheng , Chun Liu , Jie Shen

An implicit variable-step BDF2 scheme is established for solving the space fractional Cahn-Hilliard equation, involving the fractional Laplacian, derived from a gradient flow in the negative order Sobolev space $H^{-\alpha}$,…

数值分析 · 数学 2023-06-26 Xuan Zhao , Zhongqin Xue

We propose a novel, highly efficient, mean-reverting-SAV-BDF2-based, long-time unconditionally stable numerical scheme for a class of finite-dimensional nonlinear models important in geophysical fluid dynamics. The scheme is highly…

数值分析 · 数学 2025-04-15 Jack Coleman , Daozhi Han , Xiaoming Wang

A new discrete energy dissipation law of the variable-step fractional BDF2 (second-order backward differentiation formula) scheme is established for time-fractional Cahn-Hilliard model with the Caputo's fractional derivative of order…

数值分析 · 数学 2024-04-24 Hong-lin Liao , Nan Liu , Xuan Zhao

We develop several efficient numerical schemes which preserve exactly the global constraints for constrained gradient flows. Our schemes are based on the SAV approach combined with the Lagrangian multiplier approach. They are as efficient…

数值分析 · 数学 2019-12-17 Qing Cheng , Jie Shen

We introduce a class of unconditionally energy stable, high order accurate schemes for gradient flows in a very general setting. The new schemes are a high order analogue of the minimizing movements approach for generating a time discrete…

数值分析 · 数学 2020-02-11 Alexander Zaitzeff , Selim Esedoglu , Krishna Garikipati

We develop structure preserving schemes for a class of nonlinear mobility continuity equation. When the mobility is a concave function, this equation admits a form of gradient flow with respect to a Wasserstein-like transport metric. Our…

数值分析 · 数学 2025-10-21 Jose A. Carrillo , Li Wang , Chaozhen Wei

We design and compute first-order implicit-in-time variational schemes with high-order spatial discretization for initial value gradient flows in generalized optimal transport metric spaces. We first review some examples of gradient flows…

数值分析 · 数学 2023-08-16 Guosheng Fu , Stanley Osher , Wuchen Li

We prove that the two-step backward differentiation formula (BDF2) method is stable on arbitrary time grids; while the variable-step BDF3 scheme is stable if almost all adjacent step ratios are less than 2.553. These results relax the…

数值分析 · 数学 2023-01-31 Zhaoyi Li , Hong-lin Liao

We generalize the explicit high-order positivity-preserving entropy stable spectral collocation schemes developed in Upperman 2023 and Yamaleev 2023 for the three-dimensional (3D) compressible Navier Stokes equations to a time implicit…

数值分析 · 数学 2026-03-25 Mohammed Sayyari , Nail K. Yamaleev

We analyze a variable-step extension of a family of arbitrarily high-order exponential time differencing multistep (ETD-MS) schemes recently developed by the authors. We prove that the schemes are unconditionally stable in the sense that a…

数值分析 · 数学 2025-12-02 Wenbin Chen , Zhaohui Fu , Shun Wang , Xiaoming Wang

We propose a mathematically principled PDE gradient flow framework for distributionally robust optimization (DRO). Exploiting the recent advances in the intersection of Markov Chain Monte Carlo sampling and gradient flow theory, we show…

最优化与控制 · 数学 2026-05-27 Zusen Xu , Jia-Jie Zhu

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

In this paper, we propose a regularized auxiliary variable (RAV) approach and construct accurate and robust time-discrete schemes for a large class of gradient flows. By introducing an auxiliary variable $r=0$ and constructing an auxiliary…

数值分析 · 数学 2026-04-07 Zhaoyang Wang , Ping Lin

A mass-preserving two-step Lagrange-Galerkin scheme of second order in time for convection-diffusion problems is presented, and convergence with optimal error estimates is proved in the framework of $L^2$-theory. The introduced scheme…

数值分析 · 数学 2022-02-22 Kouta Futai , Niklas Kolbe , Hirofumi Notsu , Tasuku Suzuki

We report on recent work on adaptive timestep control for weakly instationary gas flows [16, 18, 17] carried out within SFB 401, TPA3. The method which we implement and extend is a space-time splitting of adjoint error representations for…

数值分析 · 数学 2014-05-22 Sebastian Noelle , Christina Steiner

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