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Efficient Operator Splitting Techniques for Complex System and Large Scale Data Analysis

算子分裂技术在复杂系统和大数据分析中的应用研讨会

会议编号:  M190107

时间:  2019-01-14 ~ 2019-01-18

浏览次数:  353

组织者:   Raymond Chan, Roland Glowinski, Fiorella Sgallari, Xue-Cheng Tai, Suhua Wei

会议介绍

    Operator splitting techniques were first developed in the seventies by Prof. Glowinski and his collaborators. It has found many important applications recently in many disciplines in applied mathematics and engineering. Fast algorithms based on splitting techniques are of particular importance in data analysis and signal and image processing. The workshop aims at bringing together researchers, scientists and graduate students from China and abroad to exchange and stimulate ideas in operator splitting techniques and their applications to complex systems and large scale data analysis. It will provide a venue for dialogue and collaboration between theoreticians in optimization and the computational scientists in the field so that the gap between the researchers working on the fundamentals and those working on real-life applications can be reduced.

组织者

Raymond Chan, The Chinese University of Hong Kong
Roland Glowinski, University of Houston
Fiorella Sgallari, University of Bologna
Xue-Cheng Tai, Hong Kong Baptist University
Suhua Wei, Inst of Applied Physics andComputational Math

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