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

**Authors:** Stanley Yang

arXiv: 1902.11155 · 2020-04-09

## TL;DR

This paper introduces a generalized form of KKT conditions tailored for real continuous optimization problems, expanding the theoretical framework beyond existing nonsmooth convex optimization focus.

## Contribution

It presents a novel generalization of KKT conditions specifically designed for real continuous optimization problems, filling a gap in the theoretical landscape.

## Key findings

- Provides a new theoretical framework for KKT conditions.
- Extends applicability of KKT to broader class of optimization problems.
- Lays groundwork for future algorithmic developments.

## 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.

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Source: https://tomesphere.com/paper/1902.11155