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Title: Optimality analysis of a class of semi-infinite programming problems
Authors: Feng, ZG
Chen, F
Chen, L
Yiu, KFC 
Issue Date: Aug-2020
Source: Journal of optimization theory and applications, Aug. 2020, v. 186, no. 2, p. 398-411
Abstract: In this paper, we consider a class of semi-infinite programming problems with a parameter. As the parameter increases, we prove that the optimal values decrease monotonically. Moreover, the limit of the sequence of optimal values exists as the parameter tends to infinity. In finding the limit, we decompose the original optimization problem into a series of subproblems. By calculating the maximum optimal values to the subproblems and applying a fixed-point theorem, we prove that the obtained maximum value is exactly the limit of the sequence of optimal values under certain conditions. As a result, the limit can be obtained efficiently by solving a series of simplified subproblems. Numerical examples are provided to verify the limit obtained by the proposed method.
Keywords: Semi-infinite programming
Fixed-point theorem
Filter design
Beamformer design
Publisher: Springer New York LLC
Journal: Journal of optimization theory and applications 
ISSN: 0022-3239
EISSN: 1573-2878
DOI: 10.1007/s10957-020-01708-8
Rights: © Springer Science+Business Media, LLC, part of Springer Nature 2020
This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use (https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s10957-020-01708-8.
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