Zobrazeno 1 - 10
of 2 191
pro vyhledávání: '"CHEN Wenbin"'
The optimal execution problem has always been a continuously focused research issue, and many reinforcement learning (RL) algorithms have been studied. In this article, we consider the execution problem of targeting the volume weighted average price
Externí odkaz:
http://arxiv.org/abs/2411.06645
We develop in this paper a new regularized flow dynamic approach to construct efficient numerical schemes for Wasserstein gradient flows in Lagrangian coordinates. Instead of approximating the Wasserstein distance which needs to solve constrained min
Externí odkaz:
http://arxiv.org/abs/2406.14870
We present an optimal rate convergence analysis for a second order accurate in time, fully discrete finite difference scheme for the Cahn-Hilliard-Navier-Stokes (CHNS) system, combined with logarithmic Flory-Huggins energy potential. The numerical sc
Externí odkaz:
http://arxiv.org/abs/2405.02616
This paper is concerned with the extraction of the smallest eigenvalue and the corresponding eigenvector of a symmetric positive definite matrix pencil. We reveal implicit convexity of the eigenvalue problem in Euclidean space. A provable accelerated
Externí odkaz:
http://arxiv.org/abs/2401.11786
Autor:
Shao, Nian, Chen, Wenbin
The analysis of the acceleration behavior of gradient-based eigensolvers with preconditioning presents a substantial theoretical challenge. In this work, we present a novel framework for preconditioning on Riemannian manifolds and introduce a metric,
Externí odkaz:
http://arxiv.org/abs/2309.05143
Publikováno v:
Shanghai Jiaotong Daxue xuebao, Vol 58, Iss 9, Pp 1334-1343 (2024)
The quantitative evaluation of the uncertainty in distributed photovoltaic power is significant for the safe and stable operation of distribution network. Considering the significant differences in power characteristics of different output fluctuatio
Externí odkaz:
https://doaj.org/article/4339b8f2add24ee4807c6c00d785b888
In high-speed rotating channels, significant compressive effects are observed, resulting in distinct flow characteristics compared to incompressible flows. In this study, we employed a finite volume method based on the simple algorithm to solve for l
Externí odkaz:
http://arxiv.org/abs/2308.08225
In the study of rotating channel flow, the key dimensionless parameters typically include the Reynolds number, rotation number, Prandtl number and buoyancy number. Our research focused on comparing the flow characteristics between the enlarged model,
Externí odkaz:
http://arxiv.org/abs/2305.17908
Publikováno v:
International Journal of Numerical Analysis & Modeling. 2022, Vol. 19 Issue 2/3, p275-298. 24p
The Keller-Segel equations are widely used for describing chemotaxis in biology. Recently, a new fully discrete scheme for this model was proposed in [46], mass conservation, positivity and energy decay were proved for the proposed scheme, which are
Externí odkaz:
http://arxiv.org/abs/2212.07655
Publikováno v:
J. Sci. Comput., 96(3) (2023), Article number: 75, 45 pages
We propose and analyze a first-order finite difference scheme for the functionalized Cahn-Hilliard (FCH) equation with a logarithmic Flory-Huggins potential. The semi-implicit numerical scheme is designed based on a suitable convex-concave decomposit
Externí odkaz:
http://arxiv.org/abs/2210.08501