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Lagrange-type Functions in Constrained Non-Convex Optimization Book

Lagrange-type Functions in Constrained Non-Convex Optimization
Lagrange-type Functions in Constrained Non-Convex Optimization, 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., Lagrange-type Functions in Constrained Non-Convex Optimization has a rating of 3 stars
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Lagrange-type Functions in Constrained Non-Convex Optimization, 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., Lagrange-type Functions in Constrained Non-Convex Optimization
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  • Lagrange-type Functions in Constrained Non-Convex Optimization
  • Written by author Aleksandr Moiseevich Rubinov
  • Published by Springer-Verlag New York, LLC, October 2007
  • 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.
  • Lagrange and penalty function methods can be used for studying nonconvex constrained optimization problems, but need to be generalized in order to obtain ways to reduce constrained optimization problems to suitably broad unconstrained ones. Rubinov (Schoo
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Preface
Acknowledgments
1Introduction1
2Abstract Convexity15
3Lagrange-Type Functions49
4Penalty-Type Functions109
5Augmented Lagrangians173
6Optimality Conditions221
7Appendix: Numerical Experiments265
Index285


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Lagrange-type Functions in Constrained Non-Convex Optimization, 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., Lagrange-type Functions in Constrained Non-Convex Optimization

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Lagrange-type Functions in Constrained Non-Convex Optimization, 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., Lagrange-type Functions in Constrained Non-Convex Optimization

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Lagrange-type Functions in Constrained Non-Convex Optimization, 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., Lagrange-type Functions in Constrained Non-Convex Optimization

Lagrange-type Functions in Constrained Non-Convex Optimization

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