Information And Complexity PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Information And Complexity PDF full book. Access full book title Information And Complexity.

Information And Complexity

Information And Complexity
Author: Burgin Mark
Publisher: World Scientific
Total Pages: 412
Release: 2016-11-28
Genre: Language Arts & Disciplines
ISBN: 9813109041

Download Information And Complexity Book in PDF, ePub and Kindle

The book is a collection of papers of experts in the fields of information and complexity. Information is a basic structure of the world, while complexity is a fundamental property of systems and processes. There are intrinsic relations between information and complexity. The research in information theory, the theory of complexity and their interrelations is very active. The book will expand knowledge on information, complexity and their relations representing the most recent and advanced studies and achievements in this area. The goal of the book is to present the topic from different perspectives — mathematical, informational, philosophical, methodological, etc.


Information-based Complexity

Information-based Complexity
Author: Joseph Frederick Traub
Publisher:
Total Pages: 552
Release: 1988
Genre: Computers
ISBN:

Download Information-based Complexity Book in PDF, ePub and Kindle

This book provides a comprehensive treatment of information-based complexity, the branch of computational complexity that deals with the intrinsic difficulty of the approximate solution of problems for which the information is partial, noisy, and priced. Such problems arise in many areas including economics, physics, human and robotic vision, scientific and engineering computation, geophysics, decision theory, signal processing and control theory.


Complexity in Information Theory

Complexity in Information Theory
Author: Yaser S. Abu-Mostafa
Publisher: Springer Science & Business Media
Total Pages: 138
Release: 2012-12-06
Genre: Computers
ISBN: 1461237742

Download Complexity in Information Theory Book in PDF, ePub and Kindle

The means and ends of information theory and computational complexity have grown significantly closer over the past decade. Common analytic tools, such as combinatorial mathematics and information flow arguments, have been the cornerstone of VLSl complexity and cooperative computation. The basic assumption of limited computing resources is the premise for cryptography, where the distinction is made between available information and accessible information. Numerous other examples of common goals and tools between the two disciplines have shaped a new research category of 'information and complexity theory'. This volume is intended to expose to the research community some of the recent significant topics along this theme. The contributions selected here are all very basic, presently active, fairly well-established, and stimulating for substantial follow-ups. This is not an encyclopedia on the subject, it is concerned only with timely contributions of sufficient coherence and promise. The styles of the six chapters cover a wide spectrum from specific mathematical results to surveys of large areas. It is hoped that the technical content and theme of this volume will help establish this general research area. I would like to thank the authors of the chapters for contributing to this volume. I also would like to thank Ed Posner for his initiative to address this subject systematically, and Andy Fyfe and Ruth Erlanson for proofreading some of the chapters.


Information and Complexity in Statistical Modeling

Information and Complexity in Statistical Modeling
Author: Jorma Rissanen
Publisher: Springer Science & Business Media
Total Pages: 145
Release: 2007-12-15
Genre: Mathematics
ISBN: 0387688129

Download Information and Complexity in Statistical Modeling Book in PDF, ePub and Kindle

No statistical model is "true" or "false," "right" or "wrong"; the models just have varying performance, which can be assessed. The main theme in this book is to teach modeling based on the principle that the objective is to extract the information from data that can be learned with suggested classes of probability models. The intuitive and fundamental concepts of complexity, learnable information, and noise are formalized, which provides a firm information theoretic foundation for statistical modeling. Although the prerequisites include only basic probability calculus and statistics, a moderate level of mathematical proficiency would be beneficial.


Complexity, Entropy And The Physics Of Information

Complexity, Entropy And The Physics Of Information
Author: Wojciech H. Zurek
Publisher: CRC Press
Total Pages: 545
Release: 2018-03-08
Genre: Science
ISBN: 0429971435

Download Complexity, Entropy And The Physics Of Information Book in PDF, ePub and Kindle

This book has emerged from a meeting held during the week of May 29 to June 2, 1989, at St. John’s College in Santa Fe under the auspices of the Santa Fe Institute. The (approximately 40) official participants as well as equally numerous “groupies” were enticed to Santa Fe by the above “manifesto.” The book—like the “Complexity, Entropy and the Physics of Information” meeting explores not only the connections between quantum and classical physics, information and its transfer, computation, and their significance for the formulation of physical theories, but it also considers the origins and evolution of the information-processing entities, their complexity, and the manner in which they analyze their perceptions to form models of the Universe. As a result, the contributions can be divided into distinct sections only with some difficulty. Indeed, I regard this degree of overlapping as a measure of the success of the meeting. It signifies consensus about the important questions and on the anticipated answers: they presumably lie somewhere in the “border territory,” where information, physics, complexity, quantum, and computation all meet.


Data Complexity in Pattern Recognition

Data Complexity in Pattern Recognition
Author: Mitra Basu
Publisher: Springer Science & Business Media
Total Pages: 309
Release: 2006-12-22
Genre: Computers
ISBN: 1846281725

Download Data Complexity in Pattern Recognition Book in PDF, ePub and Kindle

Automatic pattern recognition has uses in science and engineering, social sciences and finance. This book examines data complexity and its role in shaping theory and techniques across many disciplines, probing strengths and deficiencies of current classification techniques, and the algorithms that drive them. The book offers guidance on choosing pattern recognition classification techniques, and helps the reader set expectations for classification performance.


Visual Complexity

Visual Complexity
Author: Manuel Lima
Publisher: Princeton Architectural Press
Total Pages: 272
Release: 2013-09-10
Genre: Design
ISBN: 9781616892197

Download Visual Complexity Book in PDF, ePub and Kindle

Manuel Lima's smash hit Visual Complexity is now available in paperback. This groundbreaking 2011 book—the first to combine a thorough history of information visualization with a detailed look at today's most innovative applications—clearly illustrates why making meaningful connections inside complex data networks has emerged as one of the biggest challenges in twenty-first-century design. From diagramming networks of friends on Facebook to depicting interactions among proteins in a human cell, Visual Complexity presents one hundred of the most interesting examples of informationvisualization by the field's leading practitioners.


An Introduction to Kolmogorov Complexity and Its Applications

An Introduction to Kolmogorov Complexity and Its Applications
Author: Ming Li
Publisher: Springer Science & Business Media
Total Pages: 655
Release: 2013-03-09
Genre: Mathematics
ISBN: 1475726066

Download An Introduction to Kolmogorov Complexity and Its Applications Book in PDF, ePub and Kindle

Briefly, we review the basic elements of computability theory and prob ability theory that are required. Finally, in order to place the subject in the appropriate historical and conceptual context we trace the main roots of Kolmogorov complexity. This way the stage is set for Chapters 2 and 3, where we introduce the notion of optimal effective descriptions of objects. The length of such a description (or the number of bits of information in it) is its Kolmogorov complexity. We treat all aspects of the elementary mathematical theory of Kolmogorov complexity. This body of knowledge may be called algo rithmic complexity theory. The theory of Martin-Lof tests for random ness of finite objects and infinite sequences is inextricably intertwined with the theory of Kolmogorov complexity and is completely treated. We also investigate the statistical properties of finite strings with high Kolmogorov complexity. Both of these topics are eminently useful in the applications part of the book. We also investigate the recursion theoretic properties of Kolmogorov complexity (relations with Godel's incompleteness result), and the Kolmogorov complexity version of infor mation theory, which we may call "algorithmic information theory" or "absolute information theory. " The treatment of algorithmic probability theory in Chapter 4 presup poses Sections 1. 6, 1. 11. 2, and Chapter 3 (at least Sections 3. 1 through 3. 4).


Computational Complexity

Computational Complexity
Author: Sanjeev Arora
Publisher: Cambridge University Press
Total Pages: 609
Release: 2009-04-20
Genre: Computers
ISBN: 0521424267

Download Computational Complexity Book in PDF, ePub and Kindle

New and classical results in computational complexity, including interactive proofs, PCP, derandomization, and quantum computation. Ideal for graduate students.


Descriptive Complexity

Descriptive Complexity
Author: Neil Immerman
Publisher: Springer Science & Business Media
Total Pages: 275
Release: 2012-12-06
Genre: Computers
ISBN: 1461205395

Download Descriptive Complexity Book in PDF, ePub and Kindle

By virtue of the close relationship between logic and relational databases, it turns out that complexity has important applications to databases such as analyzing the parallel time needed to compute a query, and the analysis of nondeterministic classes. This book is a relatively self-contained introduction to the subject, which includes the necessary background material, as well as numerous examples and exercises.