Overview
Part of the book series: International Series in Operations Research & Management Science (ISOR, volume 8)
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About this book
While entropy optimization has been used in different fields, a good number of applicable solution methods have been loosely constructed without sufficient mathematical treatment. A systematic presentation with proper mathematical treatment of this material is needed by practitioners and researchers alike in all application areas. The purpose of this book is to meet this need. Entropy Optimization and Mathematical Programming offers perspectives that meet the needs of diverse user communities so that the users can apply entropy optimization techniques with complete comfort and ease. With this consideration, the authors focus on the entropy optimization problems in finite dimensional Euclidean space such that only some basic familiarity with optimization is required of the reader.
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Table of contents (7 chapters)
Authors and Affiliations
Bibliographic Information
Book Title: Entropy Optimization and Mathematical Programming
Authors: S.-C. Fang, J. R. Rajasekera, H.-S. J. Tsao
Series Title: International Series in Operations Research & Management Science
DOI: https://doi.org/10.1007/978-1-4615-6131-6
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 1997
Hardcover ISBN: 978-0-7923-9939-1Published: 31 July 1997
Softcover ISBN: 978-1-4613-7810-5Published: 29 October 2012
eBook ISBN: 978-1-4615-6131-6Published: 06 December 2012
Series ISSN: 0884-8289
Series E-ISSN: 2214-7934
Edition Number: 1
Number of Pages: X, 343
Topics: Operations Research/Decision Theory, Calculus of Variations and Optimal Control; Optimization, Optimization