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An exact augmented Lagrangian function for nonlinear programming with two-sided constraints

Academic Article
Publication Date:
2003
abstract:
This paper is aimed toward the definition of a new exact augmented Lagrangian function for two-sided inequality constrained problems. The distinguishing feature of this augmented Lagrangian function is that it employs only one multiplier for each two-sided constraint. We prove that stationary points, local minimizers and global minimizers of the exact augmented Lagrangian function correspond exactly to KKT pairs, local solutions and global solutions of the constrained problem.
Iris type:
01.01 Articolo in rivista
Keywords:
nonlinear programming; augmented Lagrangian function; two-sided constraints
List of contributors:
Lucidi, Stefano; Liuzzi, Giampaolo
Handle:
https://iris.cnr.it/handle/20.500.14243/157635
Published in:
COMPUTATIONAL OPTIMIZATION AND APPLICATIONS
Journal
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URL

https://link.springer.com/article/10.1023/A:1022948903451
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