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- Title
Dislocation hyperbolic augmented Lagrangian algorithm in convex programming.
- Authors
Ramirez, Lennin Mallma; Maculan, Nelson; Xavier, Adilson Elias; Xavier, Vinicius Layter
- 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.
- Subjects
ALGORITHMS; NONLINEAR programming; NONLINEAR equations; PROBLEM solving; CONVEX programming
- Publication
International Journal of Optimization & Control: Theories & Applications, 2024, Vol 14, Issue 2, p147
- ISSN
2146-0957
- Publication type
Article
- DOI
10.11121/ijocta.1402