Primal Central Paths and Riemannian Distances for Convex Sets

被引:0
|
作者
Y. Nesterov
A. Nemirovski
机构
[1] Catholic University of Louvain,CORE
[2] Technion-Israel Institute of Technology,undefined
关键词
Riemannian geometry; Convex optimization; Structural optimization; Interior-point methods; Path-following methods; Self-concordant functions; Polynomial-time methods; 52A41; 53C22; 68Q25; 90C22; 90C25; 90C51; 90C60;
D O I
暂无
中图分类号
学科分类号
摘要
In this paper, we study the Riemannian length of the primal central path in a convex set computed with respect to the local metric defined by a self-concordant function. Despite some negative examples, in many important situations, the length of this path is quite close to the length of a geodesic curve. We show that in the case of a bounded convex set endowed with a ν-self-concordant barrier, the length of the central path is within a factor O(ν1/4) of the length of the shortest geodesic curve.
引用
收藏
页码:533 / 560
页数:27
相关论文
共 50 条