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Kategorie szczegółowe BISAC
 Optimization Methods and Applications Xiao-Qi Yang                             Kok Lay Teo                              Lou Caccetta 9781441948502 Not Avail
Optimization Methods and Applications

Xiao-Qi Yang Kok Lay Teo Lou Caccetta
This edited book is dedicated to Professor N. U. Ahmed, a leading scholar and a renowned researcher in optimal control and optimization on the occasion of his retirement from the Department of Electrical Engineering at University of Ottawa in 1999. The contributions of this volume are in the areas of optimal control, non linear optimization and optimization applications. They are mainly the im proved and expanded versions of the papers selected from those presented in two special sessions of two international conferences. The first special session is Optimization Methods, which was organized...
This edited book is dedicated to Professor N. U. Ahmed, a leading scholar and a renowned researcher in optimal control and optimization on the occasio...
cena: 806,99 zł
 Progress in Optimization: Contributions from Australasia Xiao-Qi Yang 9781461379867 Springer
Progress in Optimization: Contributions from Australasia

Xiao-Qi Yang
'Optimization Day' (OD) has been a series of annual mini-conferences in Aus tralia since 1994. The purpose of this series of events is to gather researchers in optimization and its related areas from Australia and their collaborators, in order to exchange new developments of optimization theories, methods and their applications. The first four OD mini-conferences were held in The Uni versity of Ballarat (1994), The University of New South Wales (1995), The University of Melbourne (1996) and Royal Melbourne Institute of Technology (1997), respectively. They were all on the eastern coast of...
'Optimization Day' (OD) has been a series of annual mini-conferences in Aus tralia since 1994. The purpose of this series of events is to gather resea...
cena: 403,47 zł
 Lagrange-Type Functions in Constrained Non-Convex Optimization Rubinov, Alexander M. 9781461348214 Springer
Lagrange-Type Functions in Constrained Non-Convex Optimization

Rubinov, Alexander M.
Lagrange and penalty function methods provide a powerful approach, both as a theoretical tool and a computational vehicle, for the study of constrained optimization problems. However, for a nonconvex constrained optimization problem, the classical Lagrange primal-dual method may fail to find a mini- mum as a zero duality gap is not always guaranteed. A large penalty parameter is, in general, required for classical quadratic penalty functions in order that minima of penalty problems are a good approximation to those of the original constrained optimization problems. It is well-known that...
Lagrange and penalty function methods provide a powerful approach, both as a theoretical tool and a computational vehicle, for the study of constraine...
cena: 403,47 zł


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