Optimality conditions via exact penalty functions
Vsevolod Ivanov Ivanov

TL;DR
This paper derives optimality conditions for constrained optimization problems using exact penalty functions and the lower Hadamard derivative, providing a theoretical framework for analyzing such problems.
Contribution
It introduces a novel approach to establish optimality conditions via exact penalty functions and the lower Hadamard derivative for constrained problems.
Findings
Established optimality conditions using exact penalty functions.
Applied lower Hadamard derivative to characterize solutions.
Provided theoretical insights into constrained optimization.
Abstract
In this paper, we obtain optimality conditions for the problem with inequality, equality and closed set constraints in terms of the lower Hadamard derivative. The results are obtained applying exact penalty functions.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsOptimization and Variational Analysis · Risk and Portfolio Optimization · Advanced Optimization Algorithms Research
