A convergence analysis of the scaling-invariant primal-dual path-following algorithms for second-order cone programming

被引:93
|
作者
Tsuchiya, T [1 ]
机构
[1] Inst Stat Math, Minato Ku, Tokyo 1068569, Japan
来源
OPTIMIZATION METHODS & SOFTWARE | 1999年 / 11-2卷 / 1-4期
关键词
second-order cone programming; interior-point methods; polynomial-time algorithms; primal-dual path-following methods; Euclidean Jordan algebra; homogeneous and self-dual cone programming;
D O I
10.1080/10556789908805750
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
In this paper we study primal-dual path-following algorithms for second-order cone programming problems (SOCP). We extend the standard long-step/semilong-step/short-step primal-dual path-following alogorithms for LP and SDP to SOCP, and prove that the long-step algorithm using the NT direction and the HRVW/KSH/M direction have O(n log epsilon(-1)) iteration-complexity and O(n(3/2) log epsilon(-1)) iteration-complexity, respectively, to reduce the duality gap by a factor of 1/epsilon, where n is the number of the second-order cones. We also show that the short and semilong-step algorithms using the NT direction and the HRVW/KSH/M direction have O(root n log epsilon(-1)) and O(n log epsilon(-1)) iteration-complexities, respectively.
引用
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页码:141 / 182
页数:42
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