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Implicit Functions and Solution Mappings

A View from Variational Analysis

  • Textbook
  • © 2014
  • Latest edition

Overview

  • Covers major developments of the last five years
  • Complements and extends significantly the material covered in the first edition
  • Includes new solutions of problems that were open when the first edition was published

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About this book

The implicit function theorem is one of the most important theorems in analysis and its many variants are basic tools in partial differential equations and numerical analysis.

This second edition of Implicit Functions and Solution Mappings presents an updated and more complete picture of the field by including solutions of problems that have been solved since the first edition was published, and places old and new results in a broader perspective. The purpose of this self-contained work is to provide a reference on the topic and to provide a unified collection of a number of results which are currently scattered throughout the literature. Updates to this edition include new sections in almost all chapters, new exercises and examples, updated commentaries to chapters and an enlarged index and references section.

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Keywords

Table of contents (6 chapters)

Reviews

“The book represents the state of the art of the modern theory of inverse and implicit functions and provides an important source for studies of numerical methods and applications in this area. It can be warmly recommended to all specialists and advanced students working in optimization, analysis, numerical mathematics, and other mathematical fields, as well as to all those who apply variational analysis in engineering, physics, operations research, economics, finance, and more.” (Diethard Klatte, SIAM Review, Vol. 57 (2), June, 2015)

“The book commences with a helpful context-setting preface followed by six chapters. Each chapter starts with a useful preamble and concludes with a careful and instructive commentary, while a good set of references, a notation guide and a somewhat brief index complete this study. … I unreservedly recommended this book to all practitioners and graduate students interested in modern optimization theory or control theory or to those just engaged bybeautiful analysis cleanly described.” (Jonathan Michael Browein, IEEE Control Systems Magazine, February, 2012).

“This book is devoted to the theory of inverse and implicit functions and some of its modifications for solution mappings in variational problems. … The book is targeted to a broad audience of researchers, teachers and graduate students. It can be used as well as a textbook as a reference book on the topic. Undoubtedly, it will be used by mathematicians dealing with functional and numerical analysis, optimization, adjacent branches and also by specialists in mechanics, physics, engineering, economics and so on.” (Peter Zabreiko, Zentralblatt MATH, Vol. 1178, 2010).

“The present monograph will be a most welcome and valuable addition. … This book will save much time and effort, both for those doing research in variational analysis and for students learning the field. This important contribution fills a gap in the existing literature.” (Stephen M. Robinson, Mathematical Reviews, Issue 2010).

Authors and Affiliations

  • Mathematical Reviews, Ann Arbor, USA

    Asen L. Dontchev

  • Department of Mathematics, University of Washington, Seattle, USA

    R. Tyrrell Rockafellar

About the authors

Asen L. Dontchev is a Professor at the Department of Mathematics at the University of Michigan. R. Tyrrell Rockafellar is a Professor at the Department of Mathematics at the University of Washington and at the Department of Industrial and Systems Engineering at the University of Florida.

Bibliographic Information

  • Book Title: Implicit Functions and Solution Mappings

  • Book Subtitle: A View from Variational Analysis

  • Authors: Asen L. Dontchev, R. Tyrrell Rockafellar

  • Series Title: Springer Series in Operations Research and Financial Engineering

  • DOI: https://doi.org/10.1007/978-1-4939-1037-3

  • Publisher: Springer New York, NY

  • eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)

  • Copyright Information: Springer Science+Business Media New York 2014

  • Hardcover ISBN: 978-1-4939-1036-6Published: 18 June 2014

  • Softcover ISBN: 978-1-4939-3969-5Published: 03 September 2016

  • eBook ISBN: 978-1-4939-1037-3Published: 18 June 2014

  • Series ISSN: 1431-8598

  • Series E-ISSN: 2197-1773

  • Edition Number: 2

  • Number of Pages: XXVIII, 466

  • Number of Illustrations: 13 b/w illustrations, 1 illustrations in colour

  • Topics: Optimization, Analysis, Numerical Analysis

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