Описание: The aim of this book is to explain in simple language what we know and what we do not know about information and entropy - two of the most frequently discussed topics in recent literature - and whether they are relevant to life and the entire universe.
"It can be used as a supplementary material for teaching thermodynamics and statistical physics at an undergraduate or postgraduate level and can be a great read for undergraduate and postgraduate students of Sciences and Engineering."
Contemporary Physics
"It can be used as a supplementary material for teaching thermodynamics and statistical physics at an undergraduate or postgraduate level and can be a great read for undergraduate and postgraduate students of Sciences and Engineering."
Contemporary Physics
In this unique book, the reader is invited to experience the joy of appreciating something which has eluded understanding for many years -- entropy and the Second Law of Thermodynamics. The book has a two-pronged message: first, that the Second Law is not infinitely incomprehensible as commonly stated in most textbooks on thermodynamics, but can, in fact, be comprehended through sheer common sense; and second, that entropy is not a mysterious quantity that has resisted understanding but a simple, familiar and easily comprehensible concept.
Written in an accessible style, the book guides the reader through an abundance of dice games and examples from everyday life. The author paves the way for readers to discover for themselves what entropy is, how it changes, and, most importantly, why it always changes in one direction in a spontaneous process.
In this new edition, seven simulated games are included so that the reader can actually experiment with the games described in the book. These simulated games are meant to enhance the readers' understanding and sense of joy upon discovering the Second Law of Thermodynamics.
All errors in the previous edition were corrected and a whole new section (7.7) has been added in which the meaning of entropy is explain in simple lanaguage.
Video intro on the Bestsellers on Entropy by Arieh Ben-Naim
"It can be used as a supplementary material for teaching thermodynamics and statistical physics at an undergraduate or postgraduate level and can be a great read for undergraduate and postgraduate students of Sciences and Engineering."
Contemporary Physics
"It can be used as a supplementary material for teaching thermodynamics and statistical physics at an undergraduate or postgraduate level and can be a great read for undergraduate and postgraduate students of Sciences and Engineering."
Contemporary Physics
In this unique book, the reader is invited to experience the joy of appreciating something which has eluded understanding for many years -- entropy and the Second Law of Thermodynamics. The book has a two-pronged message: first, that the Second Law is not infinitely incomprehensible as commonly stated in most textbooks on thermodynamics, but can, in fact, be comprehended through sheer common sense; and second, that entropy is not a mysterious quantity that has resisted understanding but a simple, familiar and easily comprehensible concept.
Written in an accessible style, the book guides the reader through an abundance of dice games and examples from everyday life. The author paves the way for readers to discover for themselves what entropy is, how it changes, and, most importantly, why it always changes in one direction in a spontaneous process.
In this new edition, seven simulated games are included so that the reader can actually experiment with the games described in the book. These simulated games are meant to enhance the readers' understanding and sense of joy upon discovering the Second Law of Thermodynamics.
All errors in the previous edition were corrected and a whole new section (7.7) has been added in which the meaning of entropy is explain in simple lanaguage.
Video intro on the Bestsellers on Entropy by Arieh Ben-Naim
Описание: A collection of lecture notes/contributions from a summer school on decoherence, entanglement & entropy and a workshop on MPS (matrix product states) & DMRG (density matrix renormalization group). It is prepared in a self-contained manner so that readers with a modest background in quantum information and quantum computing may understand.
Автор: Robert M. Gray Название: Entropy and Information Theory ISBN: 1489981322 ISBN-13(EAN): 9781489981325 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This fully updated new edition of the classic work on information theory presents a detailed analysis of Shannon-source and channel-coding theorems, before moving on to address sources, channels, codes and the properties of information and distortion measures.
Описание: Presents material on three topics, namely the amount of information involved in non-random functions, the amount of information involved in non-probabilistic square matrices (which are not quantum density matrices), and a model of complex-valued fractional Brownian motion of order n defined via random walks in the complex plane.
Автор: Leff Harvey S., Rex Andrew F. Название: Maxwell`s Demon: Entropy, Information, Computing ISBN: 0691605467 ISBN-13(EAN): 9780691605463 Издательство: Wiley Цена: 9504.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
About 120 years ago, James Clerk Maxwell introduced his now legendary hypothetical demon as a challenge to the integrity of the second law of thermodynamics. Fascination with the demon persisted throughout the development of statistical and quantum physics, information theory, and computer science--and linkages have been established between Maxwell's demon and each of these disciplines. The demon's seductive quality makes it appealing to physical scientists, engineers, computer scientists, biologists, psychologists, and historians and philosophers of science. Until now its important source material has been scattered throughout diverse journals.
This book brings under one cover twenty-five reprints, including seminal works by Maxwell and William Thomson; historical reviews by Martin Klein, Edward Daub, and Peter Heimann; information theoretic contributions by Leo Szilard, Leon Brillouin, Dennis Gabor, and Jerome Rothstein; and innovations by Rolf Landauer and Charles Bennett illustrating linkages with the limits of computation. An introductory chapter summarizes the demon's life, from Maxwell's illustration of the second law's statistical nature to the most recent exorcism of the demon based on a need periodically to erase its memory. An annotated chronological bibliography is included.
Originally published in 1990.
The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.
This book presents new and original research in Statistical Information Theory, based on minimum divergence estimators and test statistics, from a theoretical and applied point of view, for different statistical problems with special emphasis on efficiency and robustness. Divergence statistics, based on maximum likelihood estimators, as well as Wald's statistics, likelihood ratio statistics and Rao's score statistics, share several optimum asymptotic properties, but are highly non-robust in cases of model misspecification under the presence of outlying observations. It is well-known that a small deviation from the underlying assumptions on the model can have drastic effect on the performance of these classical tests. Specifically, this book presents a robust version of the classical Wald statistical test, for testing simple and composite null hypotheses for general parametric models, based on minimum divergence estimators.
Описание: This book presents an epistemic framework for dealing with information-knowledge and certainty-uncertainty problems within the space of quality-quantity dualities. It bridges between theoretical concepts of entropy and entropy measurements, proposing the concept and measurement of fuzzy-stochastic entropy that is applicable to all areas of knowing under human cognitive limitations over the epistemological space. The book builds on two previous monographs by the same author concerning theories of info-statics and info-dynamics, to deal with identification and transformation problems respectively. The theoretical framework is developed by using the toolboxes such as those of the principle of opposites, systems of actual-potential polarities and negative-positive dualities, under different cost-benefit time-structures. The category theory and the fuzzy paradigm of thought, under methodological constructionism-reductionism duality, are used in the fuzzy-stochastic and cost-benefit spaces to point to directions of global application in knowing, knowledge and decision-choice actions. Thus, the book is concerned with a general theory of entropy, showing how the fuzzy paradigm of thought is developed to deal with the problems of qualitative-quantitative uncertainties over the fuzzy-stochastic space, which will be applicable to conditions of soft-hard data, fact, evidence and knowledge over the spaces of problem-solution dualities, decision-choice actions in sciences, non-sciences, engineering and planning sciences to abstract acceptable information-knowledge elements.
Описание: The aim of this book is to explain in simple language what we know and what we do not know about information and entropy - two of the most frequently discussed topics in recent literature - and whether they are relevant to life and the entire universe.
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