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A Class of Volumetric Barrier Decomposition
Algorithms for Stochastic Quadratic Programming
K. A. Ariyawansa
and Yuntao Zhu
Abstract
Ariyawansa and Zhu have introduced a class of volumetric barrier decomposition algorithms
[5] for solving two-stage stochastic semidefinite programs with recourse (SSDPs) [4]. In this
paper we utilize their work for SSDPs to derive a class of volumetric barrier decomposition
algorithms for solving two-stage stochastic quadratic programs with recourse and to establish
polynomial complexity of certain members of the class of algorithms.
AMS Subject Classifications: 90C15, 90C22, 90C20, 90C51
Keywords: Quadratic Programming, Stochastic Programming, Volumetric Barrier,

  

Source: Ariyawansa, Ari - Department of Mathematics, Washington State University

 

Collections: Mathematics