Volumetric barrier decomposition algorithms for stochastic quadratic second-order cone programming

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摘要

Ariyawansa and Zhu (2011) have derived volumetric barrier decomposition algorithms for solving two-stage stochastic semidefinite programs and proved polynomial complexity of certain members of the algorithms. In this paper, we utilize their work to derive volumetric barrier decomposition algorithms for solving two-stage stochastic convex quadratic second-order cone programming, and establish polynomial complexity of certain members of the proposed algorithms.

论文关键词:Quadratic second-order cone programming,Stochastic programming,Interior point methods,Volumetric barrier,Self-concordance

论文评审过程:Received 3 November 2014, Accepted 2 May 2015, Available online 30 May 2015, Version of Record 30 May 2015.

论文官网地址:https://doi.org/10.1016/j.amc.2015.05.014