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A New Kernel Function Yielding the Best Known Iteration Bounds for Primal-Dual Interior-Point Algorithms 被引量:7
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作者 Yan Qin BAI Jin LiGUO cornelis roos 《Acta Mathematica Sinica,English Series》 SCIE CSCD 2009年第12期2169-2178,共10页
Kernel functions play an important role in defining new search directions for primal-dual interior-point algorithm for solving linear optimization problems. In this paper we present a new kernel function which yields ... Kernel functions play an important role in defining new search directions for primal-dual interior-point algorithm for solving linear optimization problems. In this paper we present a new kernel function which yields an algorithm with the best known complexity bound for both large- and small-update methods. 展开更多
关键词 linear optimization interior-point method primal-dual method large-update method polynomial complexity
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