0
Your cart

Your cart is empty

Books > Reference & Interdisciplinary > Communication studies > Coding theory & cryptology

Buy Now

Maximum Entropy, Information Without Probability and Complex Fractals - Classical and Quantum Approach (Paperback, Softcover reprint of the original 1st ed. 2000) Loot Price: R2,873
Discovery Miles 28 730
Maximum Entropy, Information Without Probability and Complex Fractals - Classical and Quantum Approach (Paperback, Softcover...

Maximum Entropy, Information Without Probability and Complex Fractals - Classical and Quantum Approach (Paperback, Softcover reprint of the original 1st ed. 2000)

Guy Jumarie

Series: Fundamental Theories of Physics, 112

 (sign in to rate)
Loot Price R2,873 Discovery Miles 28 730 | Repayment Terms: R269 pm x 12*

Bookmark and Share

Expected to ship within 10 - 15 working days

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.

General

Imprint: Springer
Country of origin: Netherlands
Series: Fundamental Theories of Physics, 112
Release date: December 2010
First published: 2000
Authors: Guy Jumarie
Dimensions: 235 x 155 x 15mm (L x W x T)
Format: Paperback
Pages: 270
Edition: Softcover reprint of the original 1st ed. 2000
ISBN-13: 978-90-481-5467-8
Categories: Books > Reference & Interdisciplinary > Communication studies > Coding theory & cryptology
Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Science & Mathematics > Mathematics > Applied mathematics > General
Books > Science & Mathematics > Physics > Thermodynamics & statistical physics > Statistical physics
Promotions
LSN: 90-481-5467-7
Barcode: 9789048154678

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!

Partners