Dislocation hyperbolic augmented Lagrangian algorithm in convex programming
An International Journal of Optimization and Control: Theories & Applications (IJOCTA)(2024)
摘要
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.
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关键词
Augmented Lagrangian,constrained optimization,convergence,convex problem
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