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Introduction to Entropy and Entropy Optimization Principles

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Part of the book series: International Series in Operations Research & Management Science ((ISOR,volume 8))

Abstract

This chapter provides a historical perspective of the concept of entropy, Shannon’s reasoning, and the axioms that justify the principles of entropy optimization, namely, the maximum entropy and minimum cross-entropy principles. The mathematical forms of various entropy optimization problems are also discussed along with references to the existing literature. The chapter consists of two sections. Section 1.1 introduces the concept of entropy, and Section 1.2 classifies different entropy optimization problems to be studied in this book.

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© 1997 Springer Science+Business Media New York

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Fang, SC., Rajasekera, J.R., Tsao, HS.J. (1997). Introduction to Entropy and Entropy Optimization Principles. In: Entropy Optimization and Mathematical Programming. International Series in Operations Research & Management Science, vol 8. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-6131-6_1

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  • DOI: https://doi.org/10.1007/978-1-4615-6131-6_1

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-7810-5

  • Online ISBN: 978-1-4615-6131-6

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