Conjugate Duality and Optimization
Published on 28. February 1987
Book
Paperback/Softback
80 pages
978-0-89871-013-7 (ISBN)
Description
This monograph provides a relatively brief introduction to conjugate duality in both finite- and infinite-dimensional problems. Emphasizes 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.
More details
Series
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 228 mm
Width: 152 mm
Thickness: 5 mm
Weight
349 gr
ISBN-13
978-0-89871-013-7 (9780898710137)
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Schweitzer Classification
Person
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Content
The Role of Convexity and Duality
Examples of Convex Optimization Problems
Conjugate Convex Functions in Paired Spaces
Dual Problems and Lagrangians
Examples of Duality Schemes
Continuity and Derivatives of Convex Functions
Solutions to Optimization Problems
Calculating Conjugates and Subgradients
Integral Functionals.
Examples of Convex Optimization Problems
Conjugate Convex Functions in Paired Spaces
Dual Problems and Lagrangians
Examples of Duality Schemes
Continuity and Derivatives of Convex Functions
Solutions to Optimization Problems
Calculating Conjugates and Subgradients
Integral Functionals.