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Dislocation hyperbolic augmented Lagrangian algorithm in convex programming.
- Source :
-
International Journal of Optimization & Control: Theories & Applications . Apr2024, Vol. 14 Issue 2, p147-155. 9p. - Publication Year :
- 2024
-
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]
Details
- Language :
- English
- ISSN :
- 21460957
- Volume :
- 14
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- International Journal of Optimization & Control: Theories & Applications
- Publication Type :
- Academic Journal
- Accession number :
- 177174595
- Full Text :
- https://doi.org/10.11121/ijocta.1402