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1. Dislocation hyperbolic augmented Lagrangian algorithm in convex programming.

Author

Ramirez, Lennin Mallma, Maculan, Nelson, Xavier, Adilson Elias, and Xavier, Vinicius Layter

Subjects
*ALGORITHMS, *NONLINEAR programming, *NONLINEAR equations, *PROBLEM solving, *CONVEX programming
Abstract

The dislocation hyperbolic augmented Lagrangian algorithm (DHALA) is a new approach to the hyperbolic augmented Lagrangian algorithm (HALA). DHALA is designed to solve convex nonlinear programming problems. We guarantee that the sequence generated by DHALA converges towards a Karush-Kuhn-Tucker point. We are going to observe that DHALA has a slight computational advantage in solving the problems over HALA. Finally, we will computationally illustrate our theoretical results. [ABSTRACT FROM AUTHOR]

Published
2024
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