Algorithm Design (2-downloads)

Algorithm Design introduces algorithms by looking at the real-world problems that motivate them. The book teaches a range of design and analysis techniques for problems that arise in computing applications. The text encourages an understanding of the algorithm design process and an appreciation of the role of algorithms in the broader field of computer science.;1: Introduction: Some representative problems; 2: Basics of algorithms analysis; 3: Graphs; 4: Greedy algorithms; 5: Divide and conquer; 6: Dynamic programming; 7: Network flow; 8: NP and computational intractability; 9: PSPACE: A class of problems beyond NP; 10: Extending the limits of tractability; 11: Approximation algorithms; 12: Local search; 13: Randomized algorithms; Epilogue: algorithms that run forever « Algorithm Design takes a fresh approach to the algorithms course, introducing algorithmic ideas through the real-world problems that motivate them. In a clear, direct style, Jon Kleinberg and Éva Tardos teach students to analyze and define problems for themselves, and from this to recognize which design principles are appropriate for a given situation. The text encourages a greater understanding of the algorithm design process and an appreciation of the role of algorithms in the broader field of computer science. Features: Emphasizes problem analysis and design techniques; Follows a structured pedagogy that leads students through the process of problem formulation, algorithm design, and algorithm analysis; Illustrates first-hand the process computer scientists use to design and apply algorithms through a series of solved problems; Includes over 200 well-formulated homework problems – with several coming from companies such as Yahoo! and Oracle; Provides broad coverage of algorithms for dealing with NP-hard problems and the application of randomization – increasingly important topics in algorithms. »-- Quatrième de couverture Algorithm Design Takes A Fresh Approach To The Algorithms Course, Introducing Algorithmic Ideas Through The Real-world Problems That Motivate Them. In A Clear, Direct Style, Jon Kleinberg And Eva Tardos Teach Students To Analyze And Define Problems For Themselves, And From This To Recognize Which Design Principles Are Appropriate For A Given Situation. The Text Encourages A Greater Understanding Of The Algorithm Design Process And An Appreciation Of The Role Of Algorithms In The Broader Field Of Computer Science.--jacket. Introduction: Some Representative Problems -- Basics Of Algorithms Analysis -- Graphs -- Greedy Algorithms -- Divide And Conquer -- Dynamic Programming -- Network Flow -- Np And Computational Intractability -- Pspace: A Class Of Problems Beyond Np -- Extending The Limits Of Tractability -- Approximation Algorithms -- Local Search -- Randomized Algorithms -- Epilogue: Algorithms That Run Forever. Jon Kleinberg, Éva Tardos. Includes Bibliographical References (p. [805]-814) And Index. This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. Algorithm Design introduces algorithms by looking at the real-world problems that motivate them. The book teaches students a range of design and analysis techniques for problems that arise in computing applications. The text encourages an understanding of the algorithm design process and an appreciation of the role of algorithms in the broader field of computer science. August 6, 2009 Author, Jon Kleinberg, was recently cited in the New York Times for his statistical analysis research in the Internet age.