Image for Nonsmooth equations in optimization: regularity, calculus, methods and applications

Nonsmooth equations in optimization: regularity, calculus, methods and applications - 60

Part of the Nonconvex Optimization and Its Applications series
See all formats and editions

The book establishes links between regularity and derivative concepts of nonsmooth analysis and studies of solution methods and stability for optimization, complementarity and equilibrium problems.

In developing necessary tools, it presents, in particular: an extended analysis of Lipschitz functions and the calculus of their generalized derivatives, including regularity, successive approximation and implicit functions for multivalued mappings; a unified theory of Lipschitzian critical points in optimization and other variational problems, with relations to reformulations by penalty, barrier and NCP functions; an analysis of generalized Newton methods based on linear and nonlinear approximations; the interpretation of hypotheses, generalized derivatives and solution methods in terms of original data and quadratic approximations; a rich collection of instructive examples and exercises./LIST Audience: Researchers, graduate students and practitioners in various fields of applied mathematics, engineering, OR and economics.

Also university teachers and advanced students who wish to get insights into problems, future directions and recent developments.

Read More
Special order line: only available to educational & business accounts. Sign In
£129.50
Product Details
Springer
0306476169 / 9780306476167
eBook (Adobe Pdf)
519.6
31/05/2002
English
329 pages
Copy: 10%; print: 10%
general /undergraduate Learn More
Description based on CIP data; resource not viewed.