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Weak Galerkin method for stochastic partial differential equation


Academic Report

Title: Weak Galerkin method for stochastic partial differential equation

Reporter: Prof. ZOU Yongkui (Jilin University)

Time: May 10, 2019 (Friday) AM 10:00-11:00

Location: A1101# room, Innovation Park Building

Contact: Prof. LI Chongjun

Abstract: In this talk we first introduce a recently developed numerical method named weak Galerkin method, then summarize some of its applications for approximation partial differential equations. We will apply this method to solve the stochastic partial differential equations, and derive an error estimate.

The brief introduction to the reporter: Zou Yongkui, male, born in 1967, professor, doctoral supervisor. He is mainly engaged in the research of numerical methods for development equations and branch problems and stochastic partial differential equations. He has published more than 30 academic papers in SCI Retrieval Journals at home and abroad. In 2005, he was awarded Excellent Talents of the Ministry of Education in the New Century, and in 2007, he was awarded Excellent Teachers of Jilin Province. He presided over and participated in many projects of the National Natural Science Foundation of China.