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Information and Randomness, Cristian S. Calude


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Автор: Cristian S. Calude
Название:  Information and Randomness
ISBN: 9783642077937
Издательство: Springer
Классификация:



ISBN-10: 3642077935
Обложка/Формат: Paperback
Страницы: 468
Вес: 0.68 кг.
Дата издания: 15.12.2010
Серия: Texts in Theoretical Computer Science. An EATCS Series
Язык: English
Размер: 234 x 156 x 25
Основная тема: Mathematics
Подзаголовок: An Algorithmic Perspective
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: The first edition of the monograph Information and Randomness: An Algorithmic Perspective by Crist ian Calude was published in 1994. In my Foreword I said: The research in algorithmic information theory is already some 30 years old. However, only the recent years have witnessed a really vigorous growth in this area. . . . The present book by Calude fits very well in our series. Much original research is presented. . . making the approach richer in consequences than the classical one. Remarkably, however, the text is so self-contained and coherent that the book may also serve as a textbook. All proofs are given in the book and, thus, it is not necessary to consult other sources for classroom instruction. The vigorous growth in the study of algorithmic information theory has continued during the past few years, which is clearly visible in the present second edition. Many new results, examples, exercises and open prob- lems have been added. The additions include two entirely new chapters: Computably Enumerable Random Reals and Randomness and Incom- pleteness. The really comprehensive new bibliography makes the book very valuable for a researcher. The new results about the characterization of computably enumerable random reals, as well as the fascinating Omega Numbers, should contribute much to the value of the book as a textbook. The author has been directly involved in these results that have appeared in the prestigious journals Nature, New Scientist and Pour la Science.

Information, Randomness & Incompleteness: Papers On Algorithmic Information Theory

Автор: Chaitin Gregory J
Название: Information, Randomness & Incompleteness: Papers On Algorithmic Information Theory
ISBN: 9971504790 ISBN-13(EAN): 9789971504793
Издательство: World Scientific Publishing
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Цена: 127770.00 T
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Описание: The papers gathered in this book were published over a period of more than twenty years in widely scattered journals. They led to the discovery of randomness in arithmetic which was presented in the recently published monograph on "Algorithmic Information Theory" by the author. There the strongest possible version of G del's incompleteness theorem, using an information-theoretic approach based on the size of computer programs, was discussed. The present book is intended as a companion volume to the monograph and it will serve as a stimulus for work on complexity, randomness and unpredictability, in physics and biology as well as in metamathematics.

Algorithmic Randomness and Complexity

Автор: Rodney G. Downey; Denis R. Hirschfeldt
Название: Algorithmic Randomness and Complexity
ISBN: 1493938207 ISBN-13(EAN): 9781493938209
Издательство: Springer
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Цена: 93160.00 T
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Описание: Exploring the theory of computability and complexity over the real numbers, this book provides a systematic, technical development of "algorithmic randomness" and complexity for scientists working in diverse fields concerned with theoretical computer science.

Geometry, Structure and Randomness in Combinatorics

Автор: Ji?? Matousek; Jaroslav Ne?et?il; Marco Pellegrini
Название: Geometry, Structure and Randomness in Combinatorics
ISBN: 8876425241 ISBN-13(EAN): 9788876425240
Издательство: Springer
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Цена: 26090.00 T
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Описание: ГЇВїВЅ This book collects some surveys on current trends in discrete mathematics and discrete geometry. The areas covered include: graph representations, structural graphs theory, extremal graph theory, Ramsey theory and constrained satisfaction problems.

Randomness and Completeness in Computational Complexity

Автор: Dieter van Melkebeek
Название: Randomness and Completeness in Computational Complexity
ISBN: 3540414924 ISBN-13(EAN): 9783540414926
Издательство: Springer
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Цена: 65210.00 T
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Описание: This text, based on the author`s competition-winning PhD thesis, studies central issues in computational complexity: the relative power of time, space, and randomness in computing and verification. He presents approaches based on such concepts as density, redundancy, and frequency of occurrence.

Exploring RANDOMNESS

Автор: Gregory J. Chaitin
Название: Exploring RANDOMNESS
ISBN: 1447110854 ISBN-13(EAN): 9781447110859
Издательство: Springer
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Цена: 102480.00 T
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Описание: This essential companion to Chaitin`s successful books The Unknowable and The Limits of Mathematics, presents the technical core of his theory of program-size complexity. The LISP code for this book is available at the author`s Web site together with a Java applet LISP interpreter.

Coarse Geometry and Randomness

Автор: Itai Benjamini
Название: Coarse Geometry and Randomness
ISBN: 3319025759 ISBN-13(EAN): 9783319025759
Издательство: Springer
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Цена: 32600.00 T
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Описание:

Isoperimetry and expansions in graphs.- Several metric notions.- The hyperbolic plane and hyperbolic graphs.- More on the structure of vertex transitive graphs.- Percolation on graphs.- Local limits of graphs.- Random planar geometry.- Growth and isoperimetric profile of planar graphs.- Critical percolation on non-amenable groups.- Uniqueness of the infinite percolation cluster.- Percolation perturbations.- Percolation on expanders.- Harmonic functions on graphs.- Nonamenable Liouville graphs.


Handbook of Combinatorial Optimization. Print + eReference Information   Print + eReference

Название: Handbook of Combinatorial Optimization. Print + eReference Information Print + eReference
ISBN: 1461439752 ISBN-13(EAN): 9781461439752
Издательство: Springer
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Цена: 2911560.00 T
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Описание: Handbook of Combinatorial Optimization

Functional analysis of quantum information theory

Автор: Gupta, Ved Prakhash Mandayam, Prabha Sunder, V. S.
Название: Functional analysis of quantum information theory
ISBN: 3319167170 ISBN-13(EAN): 9783319167176
Издательство: Springer
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Цена: 32600.00 T
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Описание: Preface.- Operator Spaces.- Entanglement in Bipartite Quantum States.- Operator Systems.- Quantum Information Theory.- Index.- Bibliography.

Summarizing information

Автор: Endres-niggemeyer, Brigitte
Название: Summarizing information
ISBN: 3642720277 ISBN-13(EAN): 9783642720277
Издательство: Springer
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Цена: 74530.00 T
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Описание: This monograph summarizes what we know about summarizing, and offers a detailed analysis of professional summarizing. A computer simulation of the cognitive processes in expert summarizers is offered on the accompanying CD-ROM.

Natural Language Processing and Information Systems

Автор: M?tais
Название: Natural Language Processing and Information Systems
ISBN: 3319417533 ISBN-13(EAN): 9783319417530
Издательство: Springer
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Цена: 59630.00 T
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Описание: This book constitutes the refereed proceedings of the 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016, held in Salford, UK, in June 2016. The 17 full papers, 22 short papers, and 13 poster papers presented were carefully reviewed and selected from 83 submissions.

Information Security and Privacy

Автор: Liu
Название: Information Security and Privacy
ISBN: 3319402528 ISBN-13(EAN): 9783319402529
Издательство: Springer
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Цена: 68950.00 T
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Описание: The two-volume set LNCS 9722 and LNCS 9723 constitutes the refereed proceedings of the 21st Australasian Conference on Information Security and Privacy, ACISP 2016, held in Melbourne, VIC, Australia, in July 2016. The papers of Part I (LNCS 9722) are organized in topical sections on National Security Infrastructure; Social Network Security;

Data and Information Quality

Автор: Batini
Название: Data and Information Quality
ISBN: 3319241044 ISBN-13(EAN): 9783319241043
Издательство: Springer
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Цена: 83850.00 T
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Описание: This book provides a systematic and comparative description of the vast number of research issues related to the quality of data and information. It does so by delivering a sound, integrated and comprehensive  overview of the state of the art and future development of data and information quality in databases and information systems. To this end, it presents an extensive description of the techniques that constitute the core of data and information quality research, including record linkage (also called object identification), data integration, error localization and correction, and examines the related techniques in a comprehensive and original methodological framework. Quality dimension definitions and adopted models are also analyzed in detail, and differences between the proposed solutions are highlighted and discussed. Furthermore, while systematically describing data and information quality as an autonomous research area, paradigms and influences deriving from other areas, such as probability theory, statistical data analysis, data mining, knowledge representation, and machine learning are also included. Last not least, the book also highlights very practical solutions, such as methodologies, benchmarks for the most effective techniques, case studies, and examples. The book has been written primarily for researchers in the fields of databases and information management or in  natural sciences who are interested in investigating properties of data and information that have an impact on the quality of experiments, processes and on real life. The material presented is also sufficiently self-contained for masters or PhD-level courses, and it covers all the fundamentals and topics without the need for other textbooks. Data and information system administrators and practitioners, who deal with systems exposed to data-quality issues and as a result need a systematization of the field and practical methods in the area, will also benefit from the combination of concrete practical approaches with sound theoretical formalisms.


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