Zhou Jing

On The afternoon of November 6th, at the invitation of the School of Mathematics, Physics and Statistics, Prof. SunJie, Distinguished Professorof Curtin University and Chair Professor of the National University of Singapore, gave a lecture entitled " The Elicited Progressive Decoupling Algorithm: on the Rate of Convergence and the Choice of Parameters".

Professor Sun takes the classic mathematical modeling example -- the newspaper boy model asan example to explain what is Stochastic Optimization, and then extends to financial optimization management and how to make optimal decisions on stochastic processes. Stochastic optimization is a kind of mathematical optimization problem that deals with randomness of data. Its biggest difference from deterministic mathematical optimization is that random variables are introduced into its coefficients, which makes stochastic optimization moresuitable for practical problems than deterministic mathematical optimization.

Professor Sun Jie's report is profound and simple, which further strengthens the understanding of teachers and students of statistics on random optimization and other problems.