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Biconvex sets and optimization with biconvex functions: a survey and extensions

机译:具有双凸功能的Biconvex集和优化:调查和扩展

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摘要

The problem of optimizing a biconvex function over a given (bi)convex or compact set frequently occurs in theory as well as in industrial applications, for example, in the field of multifacility location or medical image registration. Thereby, a function $f:Xtimes Yto{mathbb{R}}$ is called biconvex, if f(x,y) is convex in y for fixed x∈X, and f(x,y) is convex in x for fixed y∈Y. This paper presents a survey of existing results concerning the theory of biconvex sets and biconvex functions and gives some extensions. In particular, we focus on biconvex minimization problems and survey methods and algorithms for the constrained as well as for the unconstrained case. Furthermore, we state new theoretical results for the maximum of a biconvex function over biconvex sets.
机译:在给定的(bi)凸或紧集上优化双凸函数的问题在理论上以及在工业应用中经常发生,例如在多设施定位或医学图像配准领域。因此,如果f(x,y)对于固定x∈X在y中是凸的,而f(x,y)对于固定x在x中是凸的,则函数$ f:Xtimes Yto {mathbb {R}} $被称为双凸。 y∈Y本文介绍了有关双凸集和双凸函数理论的现有结果,并给出了一些扩展。特别是,我们关注于双凸最小化问题以及约束和非约束情况的调查方法和算法。此外,我们针对双凸集上最大的双凸函数陈述了新的理论结果。

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