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Nonlinear Optimization in Finite Dimensions: Morse Theory, Chebyshev Approximation, Transversality, Flows, Parametric Aspects 2000 Edition
Contributor(s): Jongen, Hubertus Th (Author), Jonker, P. (Author), Twilt, F. (Author)
ISBN: 1461348870     ISBN-13: 9781461348870
Publisher: Springer
OUR PRICE:   $237.49  
Product Type: Paperback - Other Formats
Published: January 2014
Qty:
Additional Information
BISAC Categories:
- Mathematics | Game Theory
- Mathematics | Applied
- Mathematics | Mathematical Analysis
Dewey: 519.3
Series: Nonconvex Optimization and Its Applications
Physical Information: 1.06" H x 6.14" W x 9.21" (1.61 lbs) 510 pages
 
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Publisher Description:
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.