Strongly Quasiconvex Functions: What We Know (So Far)

被引:0
|
作者
Sorin-Mihai Grad [1 ]
Felipe Lara [2 ]
Raúl T. Marcavillaca [3 ]
机构
[1] Unité de Mathématiques Appliquées,Instituto de Alta investigación (IAI)
[2] ENSTA Paris,Centro de Modelamiento Matemático (CMM)
[3] Institut Polytechnique de Paris,undefined
[4] Universidad de Tarapacá,undefined
[5] Universidad de Chile,undefined
关键词
Strongly quasiconvex functions; Proximal point algorithms; Equilibrium problems; Nonconvex optimization; Subgradient methods;
D O I
10.1007/s10957-025-02641-4
中图分类号
学科分类号
摘要
Introduced by Polyak in 1966, the class of strongly quasiconvex functions includes some interesting nonconvex members, like the square root of the Euclidean norm or ratios with a nonnegative strongly convex numerator and a concave and positive denominator. This survey collects the vast majority of the results involving strongly quasiconvex functions available in the literature at the moment, presenting, in particular, algorithms for minimizing such functions, and suggests some directions where additional investigations would be welcome.
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