Methods in Nonlinear Analysis

This book PDF is perfect for those who love Mathematics genre, written by Kung-Ching Chang and published by Springer Science & Business Media which was released on 21 November 2005 with total hardcover pages 448. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Methods in Nonlinear Analysis books below.

Methods in Nonlinear Analysis

Author	: Kung-Ching Chang
File Size	: 51,6 Mb
Publisher	: Springer Science & Business Media
Language	: English
Release Date	: 21 November 2005
ISBN	: 9783540292326
Pages	: 448 pages

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Methods in Nonlinear Analysis by Kung-Ching Chang Book PDF Summary

This book offers a systematic presentation of up-to-date material scattered throughout the literature from the methodology point of view. It reviews the basic theories and methods, with many interesting problems in partial and ordinary differential equations, differential geometry and mathematical physics as applications, and provides the necessary preparation for almost all important aspects in contemporary studies. All methods are illustrated by carefully chosen examples from mechanics, physics, engineering and geometry.

Methods in Nonlinear Analysis by Kung-Ching Chang

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Geometrical Methods of Nonlinear Analysis by Alexander Krasnosel'skii,P. P. Zabreiko

Geometrical (in particular, topological) methods in nonlinear analysis were originally invented by Banach, Birkhoff, Kellogg, Schauder, Leray, and others in existence proofs. Since about the fifties, these methods turned out to be essentially the sole approach to a variety of new problems: the investigation of iteration processes and other procedures

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Methods of Nonlinear Analysis by Pavel Drabek,Jaroslav Milota

In this book, fundamental methods of nonlinear analysis are introduced, discussed and illustrated in straightforward examples. Each method considered is motivated and explained in its general form, but presented in an abstract framework as comprehensively as possible. A large number of methods are applied to boundary value problems for both

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Variational Methods in Nonlinear Analysis by Dimitrios C. Kravvaritis,Athanasios N. Yannacopoulos

This well-thought-out book covers the fundamentals of nonlinear analysis, with a particular focus on variational methods and their applications. Starting from preliminaries in functional analysis, it expands in several directions such as Banach spaces, fixed point theory, nonsmooth analysis, minimax theory, variational calculus and inequalities, critical point theory, monotone, maximal

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Methods of Nonlinear Analysis by Pavel Drabek,Jaroslav Milota

In this book, the basic methods of nonlinear analysis are emphasized and illustrated in simple examples. Every considered method is motivated, explained in a general form but in the simplest possible abstract framework. Its applications are shown, particularly to boundary value problems for elementary ordinary or partial differential equations. The

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Nonlinear Analysis Theory and Methods by Nikolaos S. Papageorgiou,Vicenţiu D. Rădulescu,Dušan D. Repovš

This book emphasizes those basic abstract methods and theories that are useful in the study of nonlinear boundary value problems. The content is developed over six chapters, providing a thorough introduction to the techniques used in the variational and topological analysis of nonlinear boundary value problems described by stationary differential

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Nonlinear Analysis Problems Applications and Computational Methods by Zakia Hammouch,Hemen Dutta,Said Melliani,Michael Ruzhansky

This book is a collection of original research papers as proceedings of the 6th International Congress of the Moroccan Society of Applied Mathematics organized by Sultan Moulay Slimane University, Morocco, during 7th–9th November 2019. It focuses on new problems, applications and computational methods in the field of nonlinear analysis. It

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An Introduction to Nonlinear Analysis by Martin Schechter

The techniques that can be used to solve non-linear problems are far different than those that are used to solve linear problems. Many courses in analysis and applied mathematics attack linear cases simply because they are easier to solve and do not require a large theoretical background in order to

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