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An Exact Augmented Lagrangian Function for Nonlinear Programming with Two-Sided Constraints

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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.

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Pillo, G.D., Liuzzi, G., Lucidi, S. et al. An Exact Augmented Lagrangian Function for Nonlinear Programming with Two-Sided Constraints. Computational Optimization and Applications 25, 57–83 (2003). https://doi.org/10.1023/A:1022948903451

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  • DOI: https://doi.org/10.1023/A:1022948903451

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