Saddle points of rational functions
Guangming Zhou (),
Qin Wang () and
Wenjie Zhao ()
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Guangming Zhou: Xiangtan University
Qin Wang: Xiangtan University
Wenjie Zhao: Xiangtan University
Computational Optimization and Applications, 2020, vol. 75, issue 3, No 11, 817-832
Abstract:
Abstract This paper concerns saddle points of rational functions, under general constraints. Based on optimality conditions, we propose an algorithm for computing saddle points. It uses Lasserre’s hierarchy of semidefinite relaxation. The algorithm can get a saddle point if it exists, or it can detect its nonexistence if it does not. Numerical experiments show that the algorithm is efficient for computing saddle points of rational functions.
Keywords: Saddle point; Rational function; Polynomial; Lasserre’s hierarchy (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:coopap:v:75:y:2020:i:3:d:10.1007_s10589-019-00141-6
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DOI: 10.1007/s10589-019-00141-6
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