Coverart for item
The Resource Theory of Information and its Value, by Ruslan L. Stratonovich ; edited by Roman V. Belavkin, Panos M. Pardalos, Jose C. Principe, (electronic resource)

Theory of Information and its Value, by Ruslan L. Stratonovich ; edited by Roman V. Belavkin, Panos M. Pardalos, Jose C. Principe, (electronic resource)

Label
Theory of Information and its Value
Title
Theory of Information and its Value
Statement of responsibility
by Ruslan L. Stratonovich ; edited by Roman V. Belavkin, Panos M. Pardalos, Jose C. Principe
Creator
Contributor
Editor
Subject
Language
eng
Summary
This English version of Ruslan L. Stratonovich’s Theory of Information (1975) builds on theory and provides methods, techniques, and concepts toward utilizing critical applications. Unifying theories of information, optimization, and statistical physics, the value of information theory has gained recognition in data science, machine learning, and artificial intelligence. With the emergence of a data-driven economy, progress in machine learning, artificial intelligence algorithms, and increased computational resources, the need for comprehending information is essential. This book is even more relevant today than when it was first published in 1975. It extends the classic work of R.L. Stratonovich, one of the original developers of the symmetrized version of stochastic calculus and filtering theory, to name just two topics. Each chapter begins with basic, fundamental ideas, supported by clear examples; the material then advances to great detail and depth. The reader is not required to be familiar with the more difficult and specific material. Rather, the treasure trove of examples of stochastic processes and problems makes this book accessible to a wide readership of researchers, postgraduates, and undergraduate students in mathematics, engineering, physics and computer science who are specializing in information theory, data analysis, or machine learning.--
Assigning source
Provided by publisher
http://library.link/vocab/creatorName
Stratonovich, Ruslan L
Image bit depth
0
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • Belavkin, Roman V
  • Pardalos, Panos M
  • Principe, Jose C
Series statement
Springer eBooks.
http://library.link/vocab/subjectName
  • Information theory
  • Data structures (Computer science)
  • Statistical physics
  • Quantum computers
  • Spintronics
  • Mathematical optimization
Label
Theory of Information and its Value, by Ruslan L. Stratonovich ; edited by Roman V. Belavkin, Panos M. Pardalos, Jose C. Principe, (electronic resource)
Link
https://eui.idm.oclc.org/login?url=https://doi.org/10.1007/978-3-030-22833-0
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Foreword -- Preface -- 1 Definition of information and entropy in the absence of noise- 2 Encoding of discrete information in the absence of noise and penalties -- 3 Encoding in the presence of penalties. The first variational problem- 4 The first asymptotic theorem and relative results -- 5 Computation of entropy for special cases. Entropy of stochastic processes -- 6 Information in the presence of noise. The Shannon's amount of information -- 7 Message transmission in the presence of noise. The second asymptotic theorem and its various formulations -- 8 Channel capacity. Important particular cases of channels -- 9 Definition of the value of information -- 10 The value of Shannon information for the most important Bayesian systems -- 11 Asymptotical results related to the value of information. The Third asymptotic theorem -- 12 Information theory and the second law of thermodynamics -- Appendix Some matrix (operator) identities -- Index.
Control code
978-3-030-22833-0
Dimensions
unknown
Edition
1st ed. 2020.
Extent
1 online resource (XXII, 419 pages)
File format
multiple file formats
Form of item
  • online
  • electronic
Governing access note
Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
Isbn
9783030228330
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
33 illustrations, 4 illustrations in color.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(OCoLC)1137810511
Label
Theory of Information and its Value, by Ruslan L. Stratonovich ; edited by Roman V. Belavkin, Panos M. Pardalos, Jose C. Principe, (electronic resource)
Link
https://eui.idm.oclc.org/login?url=https://doi.org/10.1007/978-3-030-22833-0
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Foreword -- Preface -- 1 Definition of information and entropy in the absence of noise- 2 Encoding of discrete information in the absence of noise and penalties -- 3 Encoding in the presence of penalties. The first variational problem- 4 The first asymptotic theorem and relative results -- 5 Computation of entropy for special cases. Entropy of stochastic processes -- 6 Information in the presence of noise. The Shannon's amount of information -- 7 Message transmission in the presence of noise. The second asymptotic theorem and its various formulations -- 8 Channel capacity. Important particular cases of channels -- 9 Definition of the value of information -- 10 The value of Shannon information for the most important Bayesian systems -- 11 Asymptotical results related to the value of information. The Third asymptotic theorem -- 12 Information theory and the second law of thermodynamics -- Appendix Some matrix (operator) identities -- Index.
Control code
978-3-030-22833-0
Dimensions
unknown
Edition
1st ed. 2020.
Extent
1 online resource (XXII, 419 pages)
File format
multiple file formats
Form of item
  • online
  • electronic
Governing access note
Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
Isbn
9783030228330
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
33 illustrations, 4 illustrations in color.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(OCoLC)1137810511

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