booktheque

Genericity In Nonlinear Analysis

Alexander J. Zaslavski · 2013

Where to buy

Check today’s price on Amazon. We do not show prices because they change daily.

View on Amazon

Affiliate link. As an Amazon Associate we earn from qualifying purchases.

About the book

This book presents an extensive collection of state-of-the-art results and references in nonlinear functional analysis demonstrating how the generic approach proves to be very useful in solving many interesting and important problems. Nonlinear analysis plays an ever-increasing role in theoretical and applied mathematics, as well as in many other areas of science such as engineering, statistics, computer science, economics, finance, and medicine. The text may be used as supplementary material for graduate courses in nonlinear functional analysis, optimization theory and approximation theory, and is a treasure trove for instructors, researchers, and practitioners in mathematics and in the mathematical sciences. Each chapter is self-contained; proofs are solid and carefully communicated. Genericity in Nonlinear Analysis is the first book to systematically present the generic approach to nonlinear analysis. Topics presented include convergence analysis of powers and infinite products via the Baire Category Theorem, fixed point theory of both single- and set-valued mappings, best approximation problems, discrete and continuous descent methods for minimization in a general Banach space, and the structure of minimal energy configurations with rational numbers in the Aubry–Mather theory.

Book details

Year
2013
Language
English
Publisher
Springer London, Limited
Editions
5
ISBN
9781461495338

Data source: Wikidata

More by Alexander J. Zaslavski

Nonconvex Optimal Control and Variational Problems
Alexander J. Zaslavski · 2013
Structure of Solutions of Variational Problems
Alexander J. Zaslavski · 2013
Structure Of Approximate Solutions Of Optimal Control Problems
Alexander J. Zaslavski · 2013
Convex Optimization with Computational Errors
Alexander J. Zaslavski · 2021
Optimization on Solution Sets of Common Fixed Point Problems
Alexander J. Zaslavski · 2021
Turnpike Conditions in Infinite Dimensional Optimal Control
Alexander J. Zaslavski · 2020
Discrete-Time Optimal Control and Games on Large Intervals
Alexander J. Zaslavski · 2017
Approximate Solutions of Common Fixed-Point Problems
Alexander J. Zaslavski · 2016
Numerical Optimization with Computational Errors
Alexander J. Zaslavski · 2016
Turnpike Theory of Continuous-Time Linear Optimal Control Problems
Alexander J. Zaslavski · 2015