On Solving a Class of Linear Semi-Infinite Programs by the Trigonometric Moment
Y. Xu, J. Desai, X. Yan

TL;DR
This paper introduces a new practical method for solving a specific class of semi-infinite programs using trigonometric moments, achieving near-optimal solutions with demonstrated numerical efficiency.
Contribution
The paper develops an easily implementable approach that constructs approximate linear semidefinite programs based on duality and trigonometric moments, providing near-optimal solutions.
Findings
Achieves lnK/K-optimal solutions for semi-infinite programs
Demonstrates numerical efficiency through examples
Provides a practical method for a class of semi-infinite programs
Abstract
In this paper, we propose a new easily implementable method for solving a class of semi-infinite programs, where an approximate linear semidefinite program is constructed for the concerned semi-infinite program based on the duality theory of semi-infinite programs and the theory of the trigonometric moments. We obtain a lnK/K-optimal solution for the semi-infinite program, where K is the truncation factor. Moreover, we present some numerical examples to show the efficiency of the new method.
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Taxonomy
TopicsAdvanced Optimization Algorithms Research · Optimization and Variational Analysis · Optimization and Mathematical Programming
