Entropy Optimization Principles with Applications Kapur, Academic Press 1992 NEW

Entropy Optimization Principles with ApplicationsAuthors: J. N. Kapur; H. K. KesavanPublisher: Academic Press (Boston / San Diego)Date: May 11, 1992Format: Hardcover — no dust jacket as issuedPages: xix + 408ISBN-10: 0123976707ISBN-13: 978-0123976703Dimensions: 6.5 x 1 x 9.5 inchesWeight: 1.69 lbsCondition: NEW — original shrink wrap intact and unbroken

The first true textbook to provide an interdisciplinary approach to entropy optimization, built around three foundational concepts: Shannon\'s Information Theory, Jaynes\' Maximum Entropy Principle, and Kullback\'s Minimum Cross-Entropy Principle. A senior-level text that unified a subject previously scattered across journal literature, with extensive real-world applications and exercises throughout.Topics and applications include:

• Maximum entropy probability distributions
• Minimum cross-entropy principle
• Generalized and inverse entropy optimization principles
• Applications in statistics and thermodynamics
• Pattern recognition and spectral analysis
• Queuing theory and parameter estimation
• Engineering, economics, and operations research

Suitable for any discipline working with probabilistic systems and information — engineering, statistics, economics, and operations research. Complete with exercises, enabling students to apply these principles independently to new problems. A foundational reference for researchers in information theory, Bayesian methods, and maximum entropy methods.New in original shrink wrap — unread and unopened. Three sealed NOS copies available; listed individually.

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