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Optimization Theory and Methods: From Convex to Nonconvex

B692243afdeed5334c089c034edbc8e9b773f696

Speaker

Yong Xia, Beihang University

Time

2020.05.27 14:00-15:00

Venue

Online—ZOOM APP

ZOOM Info

Conference ID: 930-756-95623

PIN Code: 938781

Abstract

This talk presents our recent advances on optimization theory and methods, including alternative theorems, optimization conditions, approximation and exact algorithms for typical nonconvex optimization problems.

Slides

Optimization Theory and Methods: From Convex to Nonconvex

Bio

Dr. Yong Xia is a professor and deputy dean of the School of Mathematical Science of Beihang University. He received his doctor’s degree from Chinese Academy of Science in 2007. He has been sponsored by the National Science Fund for Excellent Young Scholars in 2018. His current research interest is global optimization. He is known for Xia-Yuan linearization in the classical quadratic assignment problem.

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