Details
Constrained Optimization and Image Space Analysis
Volume 1: Separation of Sets and Optimality ConditionsMathematical Concepts and Methods in Science and Engineering, Band 49
96,29 € |
|
Verlag: | Springer |
Format: | |
Veröffentl.: | 27.10.2006 |
ISBN/EAN: | 9780387280202 |
Sprache: | englisch |
Anzahl Seiten: | 396 |
Dieses eBook enthält ein Wasserzeichen.
Beschreibungen
<P>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. <STRONG>Constrained Optimization and Image Space Analysis </STRONG>unites his results and presents optimization theory and variational inequalities in their light.</P>
<P>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.</P>
<P>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.</P>
Elements of Convex Analysis and Separation.- to Image Space Analysis.- Alternative and Separation.- Optimality Conditions. Preliminary Results.
A peerless monograph, presenting a new approach to the theory of constrained extremum problems, including Mathematical Programming, Calculus of Variations and Optimal Control Problems Applications are seen for the first time in the light of a unified theory An excellent reference for researchers in Analysis, Applied Mathematics, Mathematical Physics and many other applied branches
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