Conjugate Duality and Optimization

Conjugate Duality and Optimization
Author: R. Tyrrell Rockafellar
Publisher: SIAM
Total Pages: 80
Release: 1974-01-01
Genre: Technology & Engineering
ISBN: 9781611970524

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Provides a relatively brief introduction to conjugate duality in both finite- and infinite-dimensional problems. An emphasis is placed on the fundamental importance of the concepts of Lagrangian function, saddle-point, and saddle-value. General examples are drawn from nonlinear programming, approximation, stochastic programming, the calculus of variations, and optimal control.


Conjugate Duality and Optimization
Language: en
Pages: 80
Authors: R. Tyrrell Rockafellar
Categories: Technology & Engineering
Type: BOOK - Published: 1974-01-01 - Publisher: SIAM

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Provides a relatively brief introduction to conjugate duality in both finite- and infinite-dimensional problems. An emphasis is placed on the fundamental import
Conjugate Duality in Convex Optimization
Language: en
Pages: 171
Authors: Radu Ioan Bot
Categories: Business & Economics
Type: BOOK - Published: 2009-12-24 - Publisher: Springer Science & Business Media

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The results presented in this book originate from the last decade research work of the author in the ?eld of duality theory in convex optimization. The reputati
Conjugate Duality and Optimization
Language: en
Pages: 82
Authors: R. Tyrrell Rockafellar
Categories: Technology & Engineering
Type: BOOK - Published: 1974-01-01 - Publisher: SIAM

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The theory of duality in problems of optimization is developed in a setting of finite and infinite dimensional spaces using convex analysis. Applications to con
Conjugate Duality and Optimization
Language: en
Pages: 74
Authors: Ralph Tyrrell Rockafellar
Categories:
Type: BOOK - Published: 1989 - Publisher:

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Duality in Vector Optimization
Language: en
Pages: 408
Authors: Radu Ioan Bot
Categories: Mathematics
Type: BOOK - Published: 2009-08-12 - Publisher: Springer Science & Business Media

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This book presents fundamentals and comprehensive results regarding duality for scalar, vector and set-valued optimization problems in a general setting. One ch