Entropy and information
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Entropy and information by LГЎszlГі OrlГіci

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Published by SPB Academic Publishing in The Hague .
Written in English


  • Entropy (Information theory) -- Computer programs

Book details:

Edition Notes

Includes bibliographical references (p. 69-72).

StatementLászló Orlóci.
SeriesEcological computations series (ECS) -- vol. 3, Ecological computations series -- vol. 3
LC ClassificationsQ370 .O756 1991
The Physical Object
Pagination72 p. :
Number of Pages72
ID Numbers
Open LibraryOL18592119M
ISBN 109051030622

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“The book is structured in eight chapters covering topics raging of the early history of thermodynamics to the complexity and value of information. is recommended to advanced high-school students, beginning university students and others who do not know many concepts of physics. Entropy and Information Theory is highly recommended as essential reading to academics and researchers in the field, especially to engineers interested in the mathematical aspects and mathematicians interested in the engineering applications. it will contribute to further synergy between the two fields and the deepening of research efforts.” (Ina Fourie, Online Information Review, Vol. 36 Brand: Springer US. In the book's third section, E. O. Wiley defends the theory that phylogenetic evolution may be predicted from a general version of the second law reformulated in terms of information theory, and Daniel R. Brooks, D. David Cumming, and Paul H. LeBlond also defend that controversial book concludes with a series of essays that evaluate. the entropy or self information in a process. Information theory can be viewed as simply a branch of applied probability theory. Because of its dependence on ergodic theorems, however, it can also be viewed as a branch of ergodic theory, the theory of invariant transformations and transformations related to invariant transformations. In order to developFile Size: 1MB.

Entropy and Information Theory 3 March This site provides the current version of the first edition of the book Entropy and Information Theory by R.M. Gray in . Non-fiction book by Jeremy Rifkin and Ted Howard, with an Afterword by Nicholas Georgescu-Roegen. In the book the authors seek to analyse the world's economic and social structures by using the second law of thermodynamics, that is, the law of entropy/5. the book. The notion of entropy, which is fundamental to the whole topic of this book, is introduced here. We also present the main questions of information theory, data compression and error correction, and state Shannon’s theorems. Random variables The main object of this book will be the behavior of large sets of discrete random variables. Entropy and Information. This is just entropy, he said, thinking that this explained everything, and he repeated the strange word a few times. 1? Karel Capek, “Krakatit” This “strange word” denotes one of the most basic quantities of the physics of heat phenomena, that is, of thermodynamics.

The book provides a unified panoramic view of entropy and the second law of thermodynamics. Entropy shows up in a wide variety of contexts including physics, information theory and philosophy. A cornerstone of information theory is the idea of quantifying how much information there is in a message. More generally, this can be used to quantify the information in an event and a random variable, called entropy, and is calculated using probability. Calculating information and entropy is. Grammatical Man: Information, Entropy, Language, and Life. Grammatical Man is the first book to tell the story of information theory, how it arose with the development of radar during WW2, and how it evolved/5. Since thermodynamic and information entropy are dimensionally unequal (energy/unit temperature vs. units of information), Boltzmann's equation is more akin to x = c t where x is the distance travelled by a light beam in time t, c being the speed of light.