Recruiting Mean field stochastic partial differential equations with nonlinear kernelsView details →
2000 Jintong Road, Zhuhai +86-756-3620750 rcm@bnbu.edu.cn
Dr. Fukeng Huang (黄富铿博士)
新加坡国立大学

黄富铿,2016年6月本科毕业于中山大学,2021年5月博士毕业于美国普渡大学,师从沈捷教授。

Date 2023/05/31
Time 11:00 - 12:00
Venue A103,Lijiao Building
Language 中文

Abstract 摘要

In this talk, I will talk about some essential improvements on the original scalar auxiliary variable(SAV) approach. The Generalized SAV approach(GSAV) enjoys the following remarkable properties: 1. The computational cost is half of the original SAV approach. 2. It can be used to construct high-order unconditionally stable schemes with rigorous error analysis. 3. The new approach is not limited to the gradient flow systems, it can be applied to general dissipative systems.

We combine this GSAV approach with a new consistent splitting scheme for the Navier-Stokes equations, and obtain, for the first time, a strongly unconditional stable, decoupled schemes with uniform second-order accuracy for the velocity and pressure.

Speaker Biography 讲者简介

 黄富铿,2016年6月本科毕业于中山大学,2021年5月博士毕业于美国普渡大学,师从沈捷教授。现在在新加坡国立大学从事博士后研究工作,主要研究方向包括:对一般耗散系统构造高阶无条件稳定格式并作出严格的误差分析,相场模型在物理问题中的应用和计算。

Highlights(精彩看点)

Tencent Meeting ID:787-301-804



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