03656nam 2200649Ia 450 991045396160332120200520144314.094-012-0642-21-4356-9541-010.1163/9789401206426(CKB)1000000000720894(EBL)556490(OCoLC)714567257(SSID)ssj0000261015(PQKBManifestationID)12022694(PQKBTitleCode)TC0000261015(PQKBWorkID)10225321(PQKB)11472039(MiAaPQ)EBC556490(nllekb)BRILL9789401206426(Au-PeEL)EBL556490(CaPaEBR)ebr10380574(EXLCZ)99100000000072089420081014d2008 uy 0engur|n|---|||||txtccrTradition vs. traditionalism[electronic resource] contemporary perspectives in Jewish thought /Avi Sagi ; translated from Hebrew by Batya SteinAmsterdam ;New York, NY Rodopi20081 online resource (235 p.)VIBS ;v. 197PARDescription based upon print version of record.90-420-2478-X Includes bibliographical references (p. [199]-209) and index.Preliminary Material -- INTRODUCTION -- RETURNING TO TRADITION: PARADOX OR CHALLENGE -- THE TENSE ENCOUNTER WITH MODERNITY -- SOLOVEITCHIK: JEWISH THOUGHT CONFRONTS MODERNITY -- COMPARTMENTALIZATION: FROM ERNST SIMON TO YESHAYAHU LEIBOWITZ -- THE HARMONIOUS ENCOUNTER WITH MODERNITY -- RELIGIOUS COMMITMENT IN A SECULARIZED WORLD: ELIEZER GOLDMAN -- DAVID HARTMAN RENEWING THE COVENANT -- BETWEEN OLD AND NEW JUDAISM AS INTERPRETATION -- SCRIPTURE IN THE THOUGHT OF LEIBOWITZ AND SOLOVEITCHIK -- HALAKHAH IN THE THOUGHT OF LEIBOWITZ AND SOLOVEITCHIK -- ELIEZER GOLDMAN JUDAISM AS INTERPRETATION -- “MY NAME’S MY DONORS’ NAME” -- NOTES -- BIBLIOGRAPHY -- ABOUT THE AUTHOR -- INDEX -- VIBS.This book is a first attempt to examine the thought of key contemporary Jewish thinkers on the meaning of tradition in the context of two models. The classic model assumes that tradition reflects lack of dynamism and reflectiveness, and the present’s unqualified submission to the past. This view, however, is an image that the modernist ethos has ascribed to the tradition so as to remove it from modern existence. In the alternative model, a living tradition emerges as open and dynamic, developing through an ongoing dialogue between present and past. The Jewish philosophers discussed in this work—Joseph B. Soloveitchik, Yeshayahu Leibowitz, David Hartman, and Eliezer Goldman—ascribe compelling canonic status to the tradition, and the analysis of their thought discloses the tension between these two models. The book carefully traces the course they have plotted along the various interpretations of tradition through their approach to Scripture and to Halakhah.Value inquiry book series ;v. 197.Value inquiry book series.Philosophy and religion.Tradition (Judaism)Tradition (Philosophy)Jewish philosophyElectronic books.Tradition (Judaism)Tradition (Philosophy)Jewish philosophy.296.7Sagi Abraham885459MiAaPQMiAaPQMiAaPQBOOK9910453961603321Tradition vs. traditionalism2183375UNINA05391nam 2200697 a 450 99621250500331620210209180939.01-118-58577-11-280-51749-297866105174970-470-30315-80-471-74882-X0-471-74881-1(CKB)1000000000355887(EBL)266952(OCoLC)84733483(SSID)ssj0000145361(PQKBManifestationID)11147605(PQKBTitleCode)TC0000145361(PQKBWorkID)10156567(PQKB)10302537(MiAaPQ)EBC266952(MiAaPQ)EBC4036519(Au-PeEL)EBL4036519(CaPaEBR)ebr11111111(OCoLC)958543438(PPN)175212368(EXLCZ)99100000000035588720050419d2006 uy 0engur|n|---|||||txtccrElements of information theory[electronic resource] /Thomas M. Cover, Joy A. Thomas2nd ed.Hoboken, N.J. Wiley-Intersciencec20061 online resource (774 p.)Description based upon print version of record.0-471-24195-4 Includes bibliographical references (p. 689-721) and index.ELEMENTS OF INFORMATION THEORY; CONTENTS; Preface to the Second Edition; Preface to the First Edition; Acknowledgments for the Second Edition; Acknowledgments for the First Edition; 1 Introduction and Preview; 1.1 Preview of the Book; 2 Entropy, Relative Entropy, and Mutual Information; 2.1 Entropy; 2.2 Joint Entropy and Conditional Entropy; 2.3 Relative Entropy and Mutual Information; 2.4 Relationship Between Entropy and Mutual Information; 2.5 Chain Rules for Entropy, Relative Entropy, and Mutual Information; 2.6 Jensen's Inequality and Its Consequences2.7 Log Sum Inequality and Its Applications2.8 Data-Processing Inequality; 2.9 Sufficient Statistics; 2.10 Fano's Inequality; Summary; Problems; Historical Notes; 3 Asymptotic Equipartition Property; 3.1 Asymptotic Equipartition Property Theorem; 3.2 Consequences of the AEP: Data Compression; 3.3 High-Probability Sets and the Typical Set; Summary; Problems; Historical Notes; 4 Entropy Rates of a Stochastic Process; 4.1 Markov Chains; 4.2 Entropy Rate; 4.3 Example: Entropy Rate of a Random Walk on a Weighted Graph; 4.4 Second Law of Thermodynamics; 4.5 Functions of Markov Chains; SummaryProblemsHistorical Notes; 5 Data Compression; 5.1 Examples of Codes; 5.2 Kraft Inequality; 5.3 Optimal Codes; 5.4 Bounds on the Optimal Code Length; 5.5 Kraft Inequality for Uniquely Decodable Codes; 5.6 Huffman Codes; 5.7 Some Comments on Huffman Codes; 5.8 Optimality of Huffman Codes; 5.9 Shannon-Fano-Elias Coding; 5.10 Competitive Optimality of the Shannon Code; 5.11 Generation of Discrete Distributions from Fair Coins; Summary; Problems; Historical Notes; 6 Gambling and Data Compression; 6.1 The Horse Race; 6.2 Gambling and Side Information; 6.3 Dependent Horse Races and Entropy Rate6.4 The Entropy of English6.5 Data Compression and Gambling; 6.6 Gambling Estimate of the Entropy of English; Summary; Problems; Historical Notes; 7 Channel Capacity; 7.1 Examples of Channel Capacity; 7.1.1 Noiseless Binary Channel; 7.1.2 Noisy Channel with Nonoverlapping Outputs; 7.1.3 Noisy Typewriter; 7.1.4 Binary Symmetric Channel; 7.1.5 Binary Erasure Channel; 7.2 Symmetric Channels; 7.3 Properties of Channel Capacity; 7.4 Preview of the Channel Coding Theorem; 7.5 Definitions; 7.6 Jointly Typical Sequences; 7.7 Channel Coding Theorem; 7.8 Zero-Error Codes7.9 Fano's Inequality and the Converse to the Coding Theorem7.10 Equality in the Converse to the Channel Coding Theorem; 7.11 Hamming Codes; 7.12 Feedback Capacity; 7.13 Source-Channel Separation Theorem; Summary; Problems; Historical Notes; 8 Differential Entropy; 8.1 Definitions; 8.2 AEP for Continuous Random Variables; 8.3 Relation of Differential Entropy to Discrete Entropy; 8.4 Joint and Conditional Differential Entropy; 8.5 Relative Entropy and Mutual Information; 8.6 Properties of Differential Entropy, Relative Entropy, and Mutual Information; Summary; Problems; Historical Notes9 Gaussian ChannelThe latest edition of this classic is updated with new problem sets and materialThe Second Edition of this fundamental textbook maintains the book's tradition of clear, thought-provoking instruction. Readers are provided once again with an instructive mix of mathematics, physics, statistics, and information theory.All the essential topics in information theory are covered in detail, including entropy, data compression, channel capacity, rate distortion, network information theory, and hypothesis testing. The authors provide readers with a solid understanding of the underlying tInformation theoryInformation theory.003.54003/.54Cover T. M.1938-2012.7921Thomas Joy A7922MiAaPQMiAaPQMiAaPQBOOK996212505003316Elements of information theory43423UNISA