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Constrained Optimization and Image Space Analysis [recurso electrónico] : Volume 1: Separation of Sets and Optimality Conditions / by Franco Giannessi.

By: Contributor(s): Material type: TextSeries: Mathematical Concepts and Methods in Science and Engineering ; 49Publisher: Boston, MA : Springer US, 2005Description: XII, 395 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • recurso en línea
ISBN:
  • 9780387280202
  • 99780387280202
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 519 23
Online resources:
Contents:
Elements of Convex Analysis and Separation -- to Image Space Analysis -- Alternative and Separation -- Optimality Conditions. Preliminary Results.
In: Springer eBooksSummary: Over the last twenty years, Professor Franco Giannessi, a highly respected researcher, has been working on an approach to optimization theory based on image space analysis. His theory has been elaborated by many other researchers in a wealth of papers. Constrained Optimization and Image Space Analysis unites his results and presents optimization theory and variational inequalities in their light. It presents a new approach to the theory of constrained extremum problems, including Mathematical Programming, Calculus of Variations and Optimal Control Problems. Such an approach unifies the several branches: Optimality Conditions, Duality, Penalizations, Vector Problems, Variational Inequalities and Complementarity Problems. The applications benefit from a unified theory.
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Elements of Convex Analysis and Separation -- to Image Space Analysis -- Alternative and Separation -- Optimality Conditions. Preliminary Results.

Over the last twenty years, Professor Franco Giannessi, a highly respected researcher, has been working on an approach to optimization theory based on image space analysis. His theory has been elaborated by many other researchers in a wealth of papers. Constrained Optimization and Image Space Analysis unites his results and presents optimization theory and variational inequalities in their light. It presents a new approach to the theory of constrained extremum problems, including Mathematical Programming, Calculus of Variations and Optimal Control Problems. Such an approach unifies the several branches: Optimality Conditions, Duality, Penalizations, Vector Problems, Variational Inequalities and Complementarity Problems. The applications benefit from a unified theory.

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