Unifying Farkas lemma and S-lemma: new theory and applications in nonquadratic nonconvex optimization
Meijia Yang, Yong Xia, Shu Wang

TL;DR
This paper unifies the nonlinear Farkas lemma and S-lemma into a generalized theorem, enabling new approaches to solve complex nonconvex, non-quadratic optimization problems by uncovering hidden convexity.
Contribution
It introduces a unified theoretical framework that extends classical lemmas to nonlinear nonconvex systems, facilitating global optimization solutions.
Findings
Unified nonlinear Farkas and S-lemma into a generalized alternative theorem
Revealed hidden convexity in nonconvex non-quadratic optimization problems
Enabled new methods for globally solving complex optimization problems
Abstract
We unify nonlinear Farkas lemma and S-lemma to a generalized alternative theorem for nonlinear nonconvex system. It provides fruitful applications in globally solving nonconvex non-quadratic optimization problems via revealing the hidden convexity.
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Taxonomy
TopicsOptimization and Variational Analysis · Sparse and Compressive Sensing Techniques · Advanced Optimization Algorithms Research
