Generalized Karush-Kuhn-Tucker Conditions for Real Continuous Optimization Problems

2019/02/27 by Stanley Yang, Yang, Stanley
Computer Science · Decision Sciences · Mathematics · #Advanced Optimization Algorithms Research #FOS: Electrical engineering #FOS: Mathematics #Optimization and Control (math.OC) #Optimization and Variational Analysis #Risk and Portfolio Optimization #Systems and Control (eess.SY) #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.1902.11155

openalex publication_date 2019/02/27 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Most existing work focuses on the generalization of KKT for nonsmooth convex optimization problems, but this paper explores a generalized form of Karush-Kuhn-Tucker (KKT) conditions for real continuous optimization problems.

Related

• Sufficiency Condition for KKT Points in Non-smooth Analysis
• KKT Conditions, First-Order and Second-Order Optimization, and Distributed Optimization: Tutorial and Survey
• Generalized Karush-Kuhn-Tucker Conditions in Variational and Set-Valued Analysis
• Continuous-Time Linear Optimization
• A class of nonconvex semidefinite programming in which every KKT point is globally optimal