11月12日 吕锡亮副教授学术报告

发布时间:2013-11-07

题 目：A Primal Dual Active Set Algorithm for Optimization Problems arising in Compressive Sensing

报告人：吕锡亮，副教授，武汉大学

时 间： 11月12日（周二） 下午4:00-5:00

地 点： 数学楼416室

Abstract:
One of the most important problems in compressed sensing is to find an approximated sparse solution of an underdetermined linear system efficiently. In this talk we present a primal dual active set strategy for both convex relaxation and nonconvex relaxation (in particular l_0 minimization) optimization problems. Several numerical examples are given to show the efficiency of the PDAS algorithms, both for convex relaxation problem and l_0-minimization problem.

个人简介：http://maths.whu.edu.cn/teach/grjj/?title=%E5%90%95%E9%94%A1%E4%BA%AE

欢迎有兴趣的老师和同学前来参加！