Existence of Generalized Augmented Lagrange Multipliers for Constrained Optimization Problems
Yue Wang, Jinchuan Zhou, Jingyong Tang
Abstract
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Yue Wang, Jinchuan Zhou, Jingyong Tang
Abstract
Open-access reader
The augmented Lagrange multiplier as an important concept in duality theory for optimization problems is extended in this paper to generalized augmented Lagrange multipliers by allowing a nonlinear support for the augmented perturbation function. The existence of generalized augmented Lagrange multipliers is established by perturbation analysis. Meanwhile, the relations among generalized augmented Lagrange multipliers, saddle points, and zero duality gap property are developed.
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The augmented Lagrange multiplier as an important concept in duality theory for optimization problems is extended in this paper to generalized augmented Lagrange multipliers by allowing a nonlinear support for the augmented perturbation function. The existence of generalized augmented Lagrange multipliers is established by perturbation analysis. Meanwhile, the relations among generalized augmented Lagrange multipliers, saddle points, and zero duality gap property are developed.
Key concepts: Lagrange multiplier, Augmented Lagrangian method, Constraint algorithm, Mathematics, Duality (order theory), Saddle, Applied mathematics, Saddle point