Entropy Optimization Principles with Applications

Entropy Optimization Principles with Applications

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Description

This senior-level textbook on entropy provides a conceptual framework for the study of probabilistic systems with its elucidation of three key concepts - Shannon's information theory, Jaynes' maximum entropy principle and Kullback's minimum cross-entropy principle.
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Product details

  • Paperback | 384 pages
  • 170.18 x 243.84 x 27.94mm | 771.1g
  • Academic Press Inc
  • San Diego, United States
  • English
  • references, bibliography, index
  • 0123976707
  • 9780123976703

Table of contents

Entropy optimization principles; Jaynes' maximum entropy principle; applications of Jaynes' maximum entropy principle; Kullback's minimum cross-entropy principle; further applications of MaxEnt and MinEnt; new entropy optimization principles; generalized principles of maximum entropy; the four inverse maximum entropy principles.
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