Maximum Entropy, Information Without Probability and Complex Fractals: Classical and Quantum Approach: 112 - Brossura
Sinossi
Every thought is a throw of dice. Stephane Mallarme This book is the last one of a trilogy which reports a part of our research work over nearly thirty years (we discard our non-conventional results in automatic control theory and applications on the one hand, and fuzzy sets on the other), and its main key words are Information Theory, Entropy, Maximum Entropy Principle, Linguistics, Thermodynamics, Quantum Mechanics, Fractals, Fractional Brownian Motion, Stochastic Differential Equations of Order n, Stochastic Optimal Control, Computer Vision. Our obsession has been always the same: Shannon's information theory should play a basic role in the foundations of sciences, but subject to the condition that it be suitably generalized to allow us to deal with problems which are not necessarily related to communication engineering. With this objective in mind, two questions are of utmost importance: (i) How can we introduce meaning or significance of information in Shannon's information theory? (ii) How can we define and/or measure the amount of information involved in a form or a pattern without using a probabilistic scheme? It is obligatory to find suitable answers to these problems if we want to apply Shannon's theory to science with some chance of success. For instance, its use in biology has been very disappointing, for the very reason that the meaning of information is there of basic importance, and is not involved in this approach.
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Contenuti
Preface. 1. Introduction. 2. Summary of Information Theory. 3. Path Entropies of Non Random Functions. 4. Path Entropies of Random Functions and of Non-Random Distributed Functions. 5. Quantum Entropies of Non-Probabilistic Square Matrices. 6. Complex-Valued Fractional Brownian Motion of Order n Part I. 7. Complex-Valued Fractional Brownian Motion of Order n. Part II. 8. Information Thermodynamics and Complex-Valued Fractional Brownian motion of Order n. 9. Fractals, Path, Entropy, and Fractional Fokker-Planck Equation. 10. Outline of Applications. Index.
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Maximum Entropy, Information Without Probability and Complex Fractals
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Every thought is a throw of dice. Stephane Mallarme This book is the last one of a trilogy which reports a part of our research work over nearly thirty years (we discard our non-conventional results in automatic control theory and applications on the one hand, and fuzzy sets on the other), and its main key words are Information Theory, Entropy, Maximum Entropy Principle, Linguistics, Thermodynamics, Quantum Mechanics, Fractals, Fractional Brownian Motion, Stochastic Differential Equations of Order n, Stochastic Optimal Control, Computer Vision. Our obsession has been always the same: Shannon's information theory should play a basic role in the foundations of sciences, but subject to the condition that it be suitably generalized to allow us to deal with problems which are not necessarily related to communication engineering. With this objective in mind, two questions are of utmost importance: (i) How can we introduce meaning or significance of information in Shannon's information theory (ii) How can we define and/or measure the amount of information involved in a form or a pattern without using a probabilistic scheme It is obligatory to find suitable answers to these problems if we want to apply Shannon's theory to science with some chance of success. For instance, its use in biology has been very disappointing, for the very reason that the meaning of information is there of basic importance, and is not involved in this approach. 292 pp. Englisch. Codice articolo 9789048154678
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Every thought is a throw of dice. Stephane Mallarme This book is the last one of a trilogy which reports a part of our research work over nearly thirty years (we discard our non-conventional results in automatic control theory and applications on the one ha. Codice articolo 5819323
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Taschenbuch. Condizione: Neu. Maximum Entropy, Information Without Probability and Complex Fractals | Classical and Quantum Approach | Guy Jumarie | Taschenbuch | Fundamental Theories of Physics | xix | Englisch | 2010 | Springer | EAN 9789048154678 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Codice articolo 107246049
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Every thought is a throw of dice. Stephane Mallarme This book is the last one of a trilogy which reports a part of our research work over nearly thirty years (we discard our non-conventional results in automatic control theory and applications on the one hand, and fuzzy sets on the other), and its main key words are Information Theory, Entropy, Maximum Entropy Principle, Linguistics, Thermodynamics, Quantum Mechanics, Fractals, Fractional Brownian Motion, Stochastic Differential Equations of Order n, Stochastic Optimal Control, Computer Vision. Our obsession has been always the same: Shannon's information theory should play a basic role in the foundations of sciences, but subject to the condition that it be suitably generalized to allow us to deal with problems which are not necessarily related to communication engineering. With this objective in mind, two questions are of utmost importance: (i) How can we introduce meaning or significance of information in Shannon's information theory (ii) How can we define and/or measure the amount of information involved in a form or a pattern without using a probabilistic scheme It is obligatory to find suitable answers to these problems if we want to apply Shannon's theory to science with some chance of success. For instance, its use in biology has been very disappointing, for the very reason that the meaning of information is there of basic importance, and is not involved in this approach.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 292 pp. Englisch. Codice articolo 9789048154678
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