Advanced search
Start date
Betweenand


On the Global Convergence of a General Class of Augmented Lagrangian Methods

Full text
Author(s):
Birgin, Ernesto G. ; Haeser, Gabriel ; Maculan, Nelson ; Ramirez, Lennin Mallma
Total Authors: 4
Document type: Journal article
Source: JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS; v. 206, n. 3, p. 25-pg., 2025-09-01.
Abstract

In [E. G. Birgin, R. Castillo and J. M. Mart & iacute;nez, Computational Optimization and Applications 31, pp. 31-55, 2005], a general class of safeguarded augmented Lagrangian methods is introduced which includes a large number of different methods from the literature. Besides a numerical comparison including 65 different methods, primal-dual global convergence to a KKT point is shown under a (strong) regularity condition. In the present work, we generalize this framework by considering also classical/non-safeguarded Lagrange multipliers updates. This is done in order to give a rigorous theoretical study to the so-called hyperbolic augmented Lagrangian method, which is not safeguarded, while also including the classical Powell-Hestenes-Rockafellar augmented Lagrangian method. Our results are based on a weak regularity condition which does not require boundedness of the set of Lagrange multipliers. Somewhat surprisingly, in non-safeguarded methods, we show that the penalty parameter may be kept constant at every iteration even in the lack of convexity assumptions. Numerical experiments with all the problems in the Netlib and CUTEst collections are reported to compare and discuss the different approaches. (AU)

FAPESP's process: 22/16733-6 - Reconstruction of Voronoi diagrams in electrical impedance tomography
Grantee:Danilo Rodrigues de Souza
Support Opportunities: Scholarships in Brazil - Post-Doctoral
FAPESP's process: 22/05803-3 - Cutting, packing, lot-sizing, scheduling, routing and location problems and their integration in industrial and logistics settings
Grantee:Reinaldo Morabito Neto
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry
Grantee:Francisco Louzada Neto
Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC
FAPESP's process: 23/08706-1 - Numerical optimization
Grantee:Ernesto Julián Goldberg Birgin
Support Opportunities: Research Projects - Thematic Grants