Seminar No.1665 Quadratic convergence to the optimal solution of second order conic optimization

创建时间:  2018年06月11日 00:00  谭福平   浏览次数:   

Title: Quadratic convergence to the optimal solution of second order conic optimization
Reporter: Prof. Tamás Terlaky (Lehigh University, USA)
Time: 2018-6-14 (Thursday) 14:00
Place: G507

Abstract: In this paper, we establish the quadratic convergence of Newton's method to the unique maximally complementary optimal solution of second-order conic optimization, when strict complementarity fails. Only very few approaches have been proposed to remedy the failure of strict complementarity, mostly based on nonsmooth analysis of the optimality conditions. Our local convergence result depends on the optimal partition of the problem, which can be identifi ed from a bounded sequence of interior solutions. We provide a theoretical complexity bound for identifying the quadratic convergence region of Newton's method from the trajectory of central solutions.

上一条:Seminar No.1668 Convex polytopes and minimum ranks of nonnegative sign pattern matrices

下一条:Seminar No.1664 A new method for solving the homogeneous feasibility problem

CopyRight © Shanghai University    沪ICP备09014157   Address : 99 Shangda Road, BaoShan District, Shanghai.(traffic)   Zip Code : 200444   Tel.
Technical Support : Information Technology Office of Shanghai University   Contact Us