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Convergence of a Class of Stationary Iterative Methods for Saddle Point Problems 被引量:1

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摘要 A unified convergence theory is derived for a class of stationary iterative methods for solving linear equality constrained quadratic programs or saddle point problems.This class is constructed from essentially all possible splittings of the submatrix residing in the(1,1)-block of the augmented saddle point matrix that would produce non-expansive iterations.The classic augmented Lagrangian method and alternating direction method of multipliers are two special members of this class.
作者 Yin Zhang
出处 《Journal of the Operations Research Society of China》 EI CSCD 2019年第2期195-204,共10页 中国运筹学会会刊(英文)
基金 This paper is a polished version of the Rice University technical report CAAMTR10-24 which was a work supported in part by the National Natural Science Foundation(No.DMS-0811188) Office of Navy Research(No.N00014-08-1-1101).
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