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Lagrange-type Functions in Constrained Non-Convex Optimization

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Xiao-qi Xiao-qi YangAlexander M. RubinovXiao-Qi Yang2 editions

This volume provides a systematic examination of Lagrange-type functions and augmented Lagrangians. Weak duality, zero duality gap property and the existence of an exact penalty parameter are examined. Weak duality allows one to estimate a global minimum. The zero duality gap property allows one to reduce the constrained optimization problem to a sequence of unconstrained problems, and the existence of an exact penalty parameter allows one to solve only one unconstrained problem. By applying Lagrange-type functions, a zero duality gap property for nonconvex constrained optimization problems is established under a coercive condition. It is shown that the zero duality gap property is equivalent to the lower semi-continuity of a perturbation function.

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3 credited authorsSearch language english

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  • Xiao-qi Xiao-qi Yang

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  • Alexander M. Rubinov

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  • Xiao-Qi Yang

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