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报告题目: Nonexpansive Operators for Convex Optimization Algorithms
报 告 人: 严明 教授
报告人所在单位: 香港中文大学(深圳)数据科学学院
报告日期: 2022-12-05
报告时间: 14:30-15:30
报告地点: 腾讯会议:580-958-061 密码200433
   
报告摘要:

Nonexpansive operators can explain many convex optimization algorithms. In this talk, I will introduce some nonexpansive operators and use them to show the convergence of many convex optimization algorithms, including gradient descent, proximal gradient descent, Douglas-Rachford splitting, Davis-Yin three-operator splitting, primal-dual algorithm, etc. This talk is accessible to general audience even without a convex optimization background.  

学术海报.pdf

   
本年度学院报告总序号: 695

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