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Entropy Optimization and Mathematical Programming

Entropy Optimization and Mathematical Programming

Entropy Optimization and Mathematical Programming Paperback - 2012

by Shu-Cherng Fang

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Paperback. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; Entropy optimization is a useful combination of classical engineering theory (entropy) with mathematical optimization. The resulting entropy optimization models have proved their usefulness with successful applications in areas such as
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Details

  • Title Entropy Optimization and Mathematical Programming
  • Author Shu-Cherng Fang
  • Binding Paperback
  • Edition Softcover reprin
  • Condition New
  • Pages 343
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 2012-10-29
  • Features Bibliography
  • Bookseller's Inventory # ria9781461378105_inp
  • ISBN 9781461378105 / 1461378109
  • Weight 1.1 lbs (0.50 kg)
  • Dimensions 9.21 x 6.14 x 0.74 in (23.39 x 15.60 x 1.88 cm)
  • Category Mathematics
  • Dewey Decimal Code 515.64
  • Quantity available 162

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Reader reviews for Entropy Optimization and Mathematical Programming

From the publisher

Entropy optimization is a useful combination of classical engineering theory (entropy) with mathematical optimization. The resulting entropy optimization models have proved their usefulness with successful applications in areas such as image reconstruction, pattern recognition, statistical inference, queuing theory, spectral analysis, statistical mechanics, transportation planning, urban and regional planning, input-output analysis, portfolio investment, information analysis, and linear and nonlinear programming.
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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