Vijay V. Vazirani College of Computing Georgia Institute of Technology Copyright c 2001 Approximation Algorithms Springer Berlin Heidelberg NewYork Barcelona Hong Kong London Milan Paris Singapore Tokyo To my parents Preface Although this may seem a paradox, all exact science is dominated by the idea of approximation. Bertrand Russell (1872–1970) Most natural optimization problems, including those arising in important application areas, are NP-hard. Therefore, under the widely believed
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The Web Resource Space Model Web Information Systems Engineering and Internet Technologies Book Series Series Editor: Yanchun Zhang, Victoria University, Australia Editorial Board: Robin Chen, AT&T Umeshwar Dayal, HP Arun Iyengar, IBM Keith Jeffery, Rutherford Appleton Lab Xiaohua Jia, City University of Hong Kong Yahiko Kambayashi† Kyoto University Masaru Kitsuregawa, Tokyo University Qing Li, City University of Hong Kong Philip Yu, IBM Hongjun Lu, HKUST John Mylopoulos, University of Toronto
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PART ONE Introduction to Discrete-Event System Simulation 1 Introduction to Simulation A simulation is the imitation of the operation of a real-world process or system over time. Whether done by hand or on a computer, simulation involves the generation of an artificial history of a system, and the observation of that artificial history to draw inferences concerning the operating characteristics of the real system. The behavior of a system as it evolves over time is studied by developing a
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Décentralisation au Burkina-Faso : une approche en économie institutionnelle Thèse présentée à la Faculté des sciences économiques et sociales de l’Université de Fribourg (Suisse) par Abraham KY du Burkina-Faso pour l’obtention du grade de Docteur ès sciences économiques et sociales Acceptée par la Faculté des sciences économiques et sociales le 18.02.2010 sur proposition de Monsieur Prof. Bernard Dafflon (premier rapporteur) et Monsieur Prof. Thierry Madiès (deuxième rapporteur) Fribourg 2010
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2012 Catalog Volume 20 Issue 1 March 5, 2012 – December 31, 2012 This Catalog contains information, policies, procedures, regulations and requirements that were correct at the time of publication and are subject to the terms and conditions of the Enrollment Agreement entered into between the Student and ECPI University. In keeping with the educational mission of the University, the information, policies, procedures, regulations and requirements contained herein are continually being reviewed
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Mathematical Writing by Donald E. Knuth, Tracy Larrabee, and Paul M. Roberts This report is based on a course of the same name given at Stanford University during autumn quarter, 1987. Here’s the catalog description: CS 209. Mathematical Writing—Issues of technical writing and the effective presentation of mathematics and computer science. Preparation of theses, papers, books, and “literate” computer programs. A term paper on a topic of your choice; this paper may be used for credit in another course
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i Computational Complexity: A Modern Approach Draft of a book: Dated January 2007 Comments welcome! Sanjeev Arora and Boaz Barak Princeton University complexitybook@gmail.com Not to be reproduced or distributed without the authors’ permission This is an Internet draft. Some chapters are more finished than others. References and attributions are very preliminary and we apologize in advance for any omissions (but hope you will nevertheless point them out to us). Please send us bugs
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OUR GROUP 02 GRO UP M A N A GE ME N T R E P OR T 02.1 02.2 02.3 02.4 02.5 02.6 02.7 02.8 02.9 02.10 adidas Group Worldwide 66 Major Sporting Events 2014 67 Group Strategy 68 Global Sales Strategy 72 Global Brands Strategy 77 Other Businesses Strategy 86 Global Operations 94 Research and Development 99 Employees105 Sustainability111 G R O U P M A N A G E M E N T R E P O R T: This report contains the Group Management Report of the adidas Group, comprising
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Organization of this Book xi xiii xv I Introduction 1 3 9 10 12 16 1 Questions about Questions 2 The Experimental Ideal 2.1 2.2 2.3 The Selection Problem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Random Assignment Solves the Selection Problem . . . . . . . . . . . . . . . . . . . . . . . . Regression Analysis of Experiments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . II The Core 19 21 22 23 26 30 36 38 38 44 47 51 51 3 Making
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Lecture Notes in Computer Science Commenced Publication in 1973 Founding and Former Series Editors: Gerhard Goos, Juris Hartmanis, and Jan van Leeuwen 6336 Editorial Board David Hutchison Lancaster University, UK Takeo Kanade Carnegie Mellon University, Pittsburgh, PA, USA Josef Kittler University of Surrey, Guildford, UK Jon M. Kleinberg Cornell University, Ithaca, NY, USA Alfred Kobsa University of California, Irvine, CA, USA Friedemann Mattern ETH Zurich, Switzerland John C. Mitchell Stanford
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