An Introduction to Kolmogorov Complexity and Its Applications [electronic resource] / by Ming Li, Paul Vit�nyi.

By: Li, Ming [author.]Contributor(s): Vit�nyi, Paul [author.] | SpringerLink (Online service)Material type: TextTextSeries: Texts in Computer SciencePublisher: New York, NY : Springer New York : Imprint: Springer, 2008Edition: Third EditionDescription: XXIV, 792 p. 21 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9780387498201Subject(s): Mathematics | Coding theory | Computers | Pattern recognition | Applied mathematics | Engineering mathematics | Algorithms | Statistics | Mathematics | Applications of Mathematics | Coding and Information Theory | Theory of Computation | Algorithms | Statistical Theory and Methods | Pattern RecognitionAdditional physical formats: Printed edition:: No titleDDC classification: 519 LOC classification: T57-57.97Online resources: Click here to access online
Contents:
Preliminaries -- Algorithmic Complexity -- Algorithmic Prefix Complexity -- Algorithmic Probability -- Inductive Reasoning -- The Incompressibility Method -- Resource-Bounded Complexity -- Physics, Information, and Computation.
In: Springer eBooksSummary: This ongoing bestseller, now in its third edition, is considered the standard reference on Kolmogorov complexity, a modern theory of information that is concerned with information in individual objects. New key features and topics in the 3rd edition: New results on randomness Kolmogorov's structure function, model selection, and MDL Incompressibility method: counting unlabeled graphs, Shellsort, communication complexity Derandomization Kolmogorov complexity versus Shannon information, rate distortion, lossy compression, denoising Theoretical results on information distance The similarity metric with applications to genomics, phylogeny, clustering, classification, semantic meaning, question-answer systems Quantum Kolmogorov complexity Written by two experts in the field, this book is ideal for advanced undergraduate students, graduate students, and researchers in all fields of science. It is self-contained: it contains the basic requirements from mathematics, probability theory, statistics, information theory, and computer science. Included are history, theory, new developments, a wide range of applications, numerous (new) problem sets, comments, source references, and hints to solutions of problems. This is the only comprehensive treatment of the central ideas of Kolmogorov complexity and their applications. ``Li and Vit�nyi have provided an ideal book for the exploration of a deep, beautiful and important part of computer science.'' -- Juris Hartmanis, Turing Award Winner 1993, Cornell University, Ithaca, NY. ``The book is likely to remain the standard treatment of Kolmogorov complexity for a long time.'' -- Jorma J. Rissanen, IBM Research, California. ``The book of Li and Vit�nyi is unexcelled.'' -- Ray J. Solomonoff, Oxbridge Research, Cambridge, Massachusetts "The book is outstanding...the authors did their job unbelievably well...necessary reading for all kinds of readers from undergraduate students to top authorities in the field." -- Vladimir A. Uspensky and Alexander K. Shen, Journal of Symbolic Logic [Review] ``Careful and clear introduction to a subtle and deep field.'' --David G. Stork, Ricoh Innovations, California, Amazon [Review] ``THE book on Kolmogorov Complexity.'' --Lance Fortnow, University of Chicago, IL, Amazon [Review].
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Preliminaries -- Algorithmic Complexity -- Algorithmic Prefix Complexity -- Algorithmic Probability -- Inductive Reasoning -- The Incompressibility Method -- Resource-Bounded Complexity -- Physics, Information, and Computation.

This ongoing bestseller, now in its third edition, is considered the standard reference on Kolmogorov complexity, a modern theory of information that is concerned with information in individual objects. New key features and topics in the 3rd edition: New results on randomness Kolmogorov's structure function, model selection, and MDL Incompressibility method: counting unlabeled graphs, Shellsort, communication complexity Derandomization Kolmogorov complexity versus Shannon information, rate distortion, lossy compression, denoising Theoretical results on information distance The similarity metric with applications to genomics, phylogeny, clustering, classification, semantic meaning, question-answer systems Quantum Kolmogorov complexity Written by two experts in the field, this book is ideal for advanced undergraduate students, graduate students, and researchers in all fields of science. It is self-contained: it contains the basic requirements from mathematics, probability theory, statistics, information theory, and computer science. Included are history, theory, new developments, a wide range of applications, numerous (new) problem sets, comments, source references, and hints to solutions of problems. This is the only comprehensive treatment of the central ideas of Kolmogorov complexity and their applications. ``Li and Vit�nyi have provided an ideal book for the exploration of a deep, beautiful and important part of computer science.'' -- Juris Hartmanis, Turing Award Winner 1993, Cornell University, Ithaca, NY. ``The book is likely to remain the standard treatment of Kolmogorov complexity for a long time.'' -- Jorma J. Rissanen, IBM Research, California. ``The book of Li and Vit�nyi is unexcelled.'' -- Ray J. Solomonoff, Oxbridge Research, Cambridge, Massachusetts "The book is outstanding...the authors did their job unbelievably well...necessary reading for all kinds of readers from undergraduate students to top authorities in the field." -- Vladimir A. Uspensky and Alexander K. Shen, Journal of Symbolic Logic [Review] ``Careful and clear introduction to a subtle and deep field.'' --David G. Stork, Ricoh Innovations, California, Amazon [Review] ``THE book on Kolmogorov Complexity.'' --Lance Fortnow, University of Chicago, IL, Amazon [Review].

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