TY  - BOOK
AU  - Giannessi,Franco
ED  - SpringerLink (Online service)
TI  - Constrained Optimization and Image Space Analysis: Volume 1: Separation of Sets and Optimality Conditions 
T2  - Mathematical Concepts and Methods in Science and Engineering
SN  - 9780387280202
U1  - 519 23
PY  - 2005///
CY  - Boston, MA
PB  - Springer US
KW  - MATHEMATICS
KW  - GLOBAL ANALYSIS (MATHEMATICS)
KW  - COMBINATORICS
KW  - MATHEMATICAL OPTIMIZATION
KW  - MECHANICAL ENGINEERING
KW  - APPLICATIONS OF MATHEMATICS
KW  - OPTIMIZATION
KW  - ANALYSIS
N1  - Elements of Convex Analysis and Separation -- to Image Space Analysis -- Alternative and Separation -- Optimality Conditions. Preliminary Results
N2  - 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
UR  - http://dx.doi.org/10.1007/0-387-28020-0
ER  -