Entropy optimization has become a powerful tool for data analysis and problem solving that has an infinite array of real-world applications. This senior-level textbook provides a unified conceptual framework for the study of probabilistic systems with its elucidation of three key concepts: Shannon's Information Theory, Jayne's Maximum Entropy Principle, and Kullback's Minimum Cross-Entropy Principle. A wide array of real-world problems and applications are included that will establish the usefulness of these methods for any discipline looking at probabilistic systems and information (such as engineering, statistics, economics, and operations research). This textbook, complete with exercises, will leave students with the ability to apply these principles to new problems. The first true textbook that provides an interdisciplinary approach to entropy optimization principles with numerous applications and exercises Applies principles to a diverse assortment of applications in statistics, thermodynamics, pattern recognition, spectral analysis, queuing theory, and parameter estimation problems Will be of use to all engineering students looking at probabilistic systems, as well as to students of statistics, operations research and economics

Entropy Optimization Principles with Applications

Kapur, J. N.

Kesavan, H. K.

Reference

Academic Press

The application of mathematical modelling to physical, economic, and social systems is growing rapidly. This book describes the more important techniques of mathematical modelling, and shows how to apply these techniques to a variety of problems. Each chapter covers a different mathematical technique, discusses the kinds of situations in which it is useful, and shows how to apply the technique to different fields. Examples are drawn from many subjects, including physics, chemistry, economics, demography, biology, medicine, ecology, traffic flow, and others.

Mathematical Modelling

Science & Math

Mathematics

wiley

This text/reference presents practical maximum-entropy models used in both the hard and the soft sciences. The basic theory of the maximum-entropy principle is explained, followed by detailed applications in numerous areas of science, business and economics, including thermodynamics, mechanics, statistics, design of experiments, time-series analysis, queuing and decision theory. Contains more than 600 specially constructed exercises.

Maximum Entropy Models in Science and Engineering

Wiley-Interscience

Delves into entropy optimization principles, offering new insights into their applications. Novel concepts are illustrated with figures and numerical examples. Also presents applications to ecological sciences. The standards and information discussed fill numerous gaps in existing literature.

Measures of Information and Their Applications

Computers & Technology

This text/reference presents practical maximum-entropy models used in both the hard and the soft sciences. The basic theory of the maximum-entropy principle is explained, followed by detailed applications in numerous areas of science, business and economics, including thermodynamics, mechanics, statistics, design of experiments, time-series analysis, queuing and decision theory. Contains more than 600 specially constructed exercises.

Physics

New Age International Publisher

See the best price to sell, buy, or rent books by Kapur, J. N.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Kapur, J. N.

See the best price to sell, buy, or rent books by Kapur, J. N.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Entropy Optimization Principles with Applications

Mathematical Modelling

Maximum Entropy Models in Science and Engineering

Measures of Information and Their Applications

Maximum Entropy Models in Science and Engineering