Nonlinear Optimization in Finite Dimensions

Nonlinear Optimization in Finite Dimensions

AngličtinaPevná väzba
Jongen Hubertus Th.
Springer
EAN: 9780792365617
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Podrobné informácie

At the heart of the topology of global optimization lies Morse Theory: The study of the behaviour of lower level sets of functions as the level varies. Roughly speaking, the topology of lower level sets only may change when passing a level which corresponds to a stationary point (or Karush-Kuhn­ Tucker point). We study elements of Morse Theory, both in the unconstrained and constrained case. Special attention is paid to the degree of differentiabil­ ity of the functions under consideration. The reader will become motivated to discuss the possible shapes and forms of functions that may possibly arise within a given problem framework. In a separate chapter we show how certain ideas may be carried over to nonsmooth items, such as problems of Chebyshev approximation type. We made this choice in order to show that a good under­ standing of regular smooth problems may lead to a straightforward treatment of "just" continuous problems by means of suitable perturbation techniques, taking a priori nonsmoothness into account. Moreover, we make a focal point analysis in order to emphasize the difference between inner product norms and, for example, the maximum norm. Then, specific tools from algebraic topol­ ogy, in particular homology theory, are treated in some detail. However, this development is carried out only as far as it is needed to understand the relation between critical points of a function on a manifold with structured boundary. Then, we pay attention to three important subjects in nonlinear optimization.
EAN 9780792365617
ISBN 0792365615
Typ produktu Pevná väzba
Vydavateľ Springer
Dátum vydania 31. októbra 2000
Stránky 510
Jazyk English
Rozmery 235 x 155
Krajina Netherlands
Čitatelia Professional & Scholarly
Autori Jongen Hubertus Th.; Jonker, P.; Twilt, F.
Ilustrácie X, 510 p. 3 illus.
Séria Nonconvex Optimization and Its Applications