Information Theory: New Research
Author:   Pierre Deloumeaux ,  Jose D Gorzalka
Publisher:   Nova Science Publishers Inc
ISBN:  

9781621003250


Pages:   282
Publication Date:   01 March 2012
Format:   Hardback
Availability:   Awaiting stock   Availability explained
The supplier is currently out of stock of this item. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out for you.

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Information Theory: New Research


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Overview

Information theory is a branch of applied mathematics and engineering involving the quantification of information. In this book, the authors present topical research in the study of the new developments in information theory, including information theory as applied to the analysis of biological sequences; information theory based on fractional calculus via modified Riemann-Liouville derivates; two-phase flows entropy in gravity cascade separation; the role of information theory in gene regulatory network inference; Quantum Information Processing (QIP) and the link between information processing and physics.

Full Product Details

Author:   Pierre Deloumeaux ,  Jose D Gorzalka
Publisher:   Nova Science Publishers Inc
Imprint:   Nova Science Publishers Inc
Dimensions:   Width: 23.00cm , Height: 2.00cm , Length: 15.50cm
Weight:   0.702kg
ISBN:  

9781621003250


ISBN 10:   1621003256
Pages:   282
Publication Date:   01 March 2012
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Awaiting stock   Availability explained
The supplier is currently out of stock of this item. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out for you.

Table of Contents

Preface; Information Theory & Biological Sequences: Insights from an Evolutionary Perspective; Elements for a New Information Theory Based on Fractional Calculus via Modified Riemann-Liouville Derivative; Two-Phase Flows Entropy in Gravity Cascade Separaion; The Role of Information Theory in Gene Regulatory Network Inference; A Quantum/Classical-Processing Signal Separation Method for Two Qubits with Cylindrical-Symmetry Heisenberg Coupling.

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