Lyapunov-Schmidt methods in nonlinear analysis & applications

Cover of: Lyapunov-Schmidt methods in nonlinear analysis & applications |

Published by Kluwer Academic Publishers in Dordrecht, Boston .

Written in English

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Subjects:

  • Bifurcation theory.,
  • Lyapunov functions.,
  • Mathematical analysis.

Edition Notes

Includes bibliographical references (p. 513-545) and index.

Book details

Other titlesLyapunov-Schmidt methods in nonlinear analysis and applications
Statementby Nikolay Sidorov ... [et al.].
SeriesMathematics and its applications -- v. 550, Mathematics and its applications (Kluwer Academic Publishers) -- v. 550.
ContributionsSidorov, Nikolaĭ.
Classifications
LC ClassificationsQA380 .L93 2002
The Physical Object
Paginationxx, 548 p. :
Number of Pages548
ID Numbers
Open LibraryOL21801522M
ISBN 101402009410
LC Control Number2002035716

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Lyapunov-Schmidt Methods in Nonlinear Analysis and Applications (Mathematics and Its Applications) nd Edition by Nikolay Sidorov (Author), Boris Loginov (Author), A.V. Sinitsyn (Author), M.V. Falaleev (Author) & 1 moreCited by: Lyapunov-Schmidt Methods in Nonlinear Analysis and Applications.

Authors: Sidorov, N., Loginov, B., Sinitsyn, A.V., Falaleev, M.V. Free Preview. Lyapunov-Schmidt Methods in Nonlinear Analysis and Applications (Mathematics and Its Applications Book ) - Kindle edition by Sidorov, Nikolay, Loginov, Boris, Sinitsyn, A.V., Falaleev, M.V.

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Read reviews from world’s largest community for readers. Preface Constructing nonli. Iterations, Interlaced Equations, and Lyapunov Convex Majorants in Nonlinear Analysis Nikolay Sidorov, Boris Loginov, Aleksandr Sinitsyn, Michail Falaleev Pages Lyapunov-Schmidt Methods in Nonlinear Analysis and Applications Nikolay Sidorov, Boris Loginov, Aleksandr Sinitsyn, Michail Falaleev (auth.) This book concentrates on the branching solutions of nonlinear operator equations and the theory of degenerate operator-differential equations especially applicable to algorithmic analysis and nonlinear PDE's in mechanics and mathematical.

Lyapunov -Schtnidt Methods in Nonlinear Analysis and Applications by Nikolay Sidorov Irkutsk State University, Irkutsk, Russia Boris Loginov Ulyanovsk. viii LYAPUNOV-SCHMIDT METHODS 4. Regularization of method for continuation along parameter in a neighborhood of a branch point 5.

Notes and remarks 4. ITERATIONS, INTERLACED EQUATIONS AND LYAPUNOV CONVEX MAJORANTS IN NONLINEAR ANALYSIS 1. Iterations and uniformization of branching Solutions in nonlinear analysis In this book, fundamental methods of nonlinear analysis are introduced, discussed and illustrated in straightforward examples.

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Sinitsyn, M.V. Falaleev: : Kindle Store. Lyapunov-Schmidt Methods in Nonlinear Analysis and Applications by Nikolay Sidorov, Boris Loginov, A.V. Sinitsyn, M.V. Falaleev Published by Sidorov Nikolay Loginov Boris Sinitsyn A V, Springer. This book concentrates on the branching solutions of nonlinear operator equations and the theory of degenerate operator-differential equations especially applicable to algorithmic analysis and nonlinear PDE’s in mechanics and mathematical authors expound the recent result on the generalized eigen-value problem, the perturbation method, Schmidt’s pseudo-inversion for.

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Date: 10/31/ Publisher: Springer Netherlands. Lyapunov-Schmidt Methods in Nonlinear Analysis and Applications / Edition 1. by Nikolay Sidorov, Boris Loginov, Price: $ Concentrates on the branching solutions of nonlinear operator equations and the theory of degenerate operator-differential equations especially applicable to algorithmic analysis and nonlinear PDE's in mechanics and mathematical physics.

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only do ebook promotions online and we does not distribute any free download of ebook on this site. Lyapunov-Schmidt Methods in Nonlinear Analysis and Applications | Preface Constructing nonlinear parameter-dependent mathematical models is essential in modeling in many scientific research fields. The investigation of branching (bifurcating) solutions of such equations is one of the most important aspects in the analysis of such models.

This book is intended for researchers in computational sciences, and as a reference book for an advanced computational methods in nonlinear analysis.

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Lyapunov-Schmidt Methods in Nonlinear Analysis and Applications Mathematics and Its Applications: : Nikolay Sidorov, Boris Loginov, A.V. Sinitsyn, M.V. Falaleev: Libros en idiomas extranjerosFormat: Tapa dura.

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Emphasis is placed on papers establishing and nourishing connections with related fields, like geometric analysis and mathematical physics. Nonlinear Analysis and Differential Equations An Introduction Klaus Schmitt the same time, we develop methods of analysis which may be applied to carry out the above and which have applications in many other areas of mathematics, The Method of Lyapunov-Schmidt Introduction to Nonlinear Analysis Transparency Meaning of time variable • Time is a pseudo-variable,only denoting the load level in Nonlinear static analysis with time­ independent material properties Run 1 at = time at = ~-I+time R Example: Transparency Identically the same.

Lyapunov–Schmidt reduction is one of the powerful and significant methods to simplify nonlinear ordinary differential systems (ODSs) with standard formulation. In this paper, we extend Lyapunov–Schmidt reduction to fractional ordinary differential systems (FODSs) with Caputo by: Buy Lyapunov-Schmidt Methods in Nonlinear Analysis and Applications by Nikolay Sidorov, Boris Loginov from Waterstones today.

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(Received 29 July ) Key words Cited by: Lyapunov-Schmidt Methods in Nonlinear Analysis and Applications (ISBN ) bestellen. Schnelle Lieferung, auch auf Rechnung. 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.Journals & Books Help Selected articles from this journal and other medical research on Novel Coronavirus (nCoV) and related viruses are now available for free on ScienceDirect – start exploring directly or visit the Elsevier Novel Coronavirus Information Center.Numerical continuation is a method of computing approximate solutions of a system of parameterized nonlinear equations, (,) =The parameter is usually a real scalar, and the solution an a fixed parameter value, (∗,) maps Euclidean n-space into itself.

Often the original mapping is from a Banach space into itself, and the Euclidean n-space is a finite-dimensional approximation to.

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