Overview
Part of the book series: International Series in Operations Research & Management Science (ISOR, volume 2)
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Table of contents (8 chapters)
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Front Matter
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Theory of Projected Dynamical Systems
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Front Matter
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Back Matter
Keywords
About this book
In this monograph, the authors have widened the scope of theoretical work with a new approach, `projected dynamical systems theory', to previous work in variational inequality theory. While most classical work in this area is static, the introduction to the theory of projected dynamical systems will allow many real-life dynamic situations and problems to be handled and modeled. This monograph includes:
- a new theoretical approach, `projected dynamical system', which allows the researcher to model real-life situations more accurately;
- new mathematical methods allowing researchers to combine other theoretical approaches with the projected dynamical systems approach;
- a framework in which research can adequately model natural, financial and human (real life) situations in competitive equilibrium problems;
- the computational and numerical methods for the implementation of the methods and theory discussed in the book;
- stability analysis, algorithms and computational procedures are offered for each set of applications.
Authors and Affiliations
Bibliographic Information
Book Title: Projected Dynamical Systems and Variational Inequalities with Applications
Authors: Anna Nagurney, Ding Zhang
Series Title: International Series in Operations Research & Management Science
DOI: https://doi.org/10.1007/978-1-4615-2301-7
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Kluwer Academic Publishers 1996
Hardcover ISBN: 978-0-7923-9637-6Published: 31 December 1995
Softcover ISBN: 978-1-4613-5972-2Published: 27 September 2012
eBook ISBN: 978-1-4615-2301-7Published: 06 December 2012
Series ISSN: 0884-8289
Series E-ISSN: 2214-7934
Edition Number: 1
Number of Pages: XXII, 296
Topics: Operations Research/Decision Theory, Operations Research, Management Science, Operations Management