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.
| Autorius: | Franco Giannessi |
| Serija: | Mathematical Concepts and Methods in Science and Engineering |
| Leidėjas: | Springer US |
| Išleidimo metai: | 2010 |
| Knygos puslapių skaičius: | 408 |
| ISBN-10: | 1441937595 |
| ISBN-13: | 9781441937599 |
| Formatas: | Knyga minkštu viršeliu |
| Kalba: | Anglų |
| Žanras: | Discrete mathematics |
Parašykite atsiliepimą apie „Constrained Optimization and Image Space Analysis: Volume 1: Separation of Sets and Optimality Conditions“
