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Introduction to the Design and Analysis of Algorithms (2nd Edition), by Anany Levitin
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Based on a new classification of algorithm design techniques and a clear delineation of analysis methods, Introduction to the Design and Analysis of Algorithms, 2e presents the subject in a truly innovative manner.� Written in a reader-friendly style, the book encourages broad problem-solving skills while thoroughly covering the material required for introductory algorithms. The author emphasizes conceptual understanding before the introduction of the formal treatment of each technique. Popular puzzles are used to motivate readers' interest and strengthen their skills in algorithmic problem solving. Other enhancement features include chapter summaries, hints to the exercises, and a solution manual. For those interested in learning more about algorithms.
- Sales Rank: #410558 in Books
- Published on: 2006-02-24
- Original language: English
- Number of items: 1
- Dimensions: 9.11" h x 1.14" w x 7.48" l, 1.96 pounds
- Binding: Paperback
- 592 pages
From the Back Cover
Algorithms
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Introduction to The Design & Analysis of Algorithms, 2nd Edition
Anany Levitin, Villanova University
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Valued by students and trusted by instructors, Introduction to the Design and Analysis of Algorithms employs a comprehensive taxonomy of algorithm design techniques that is more powerful and intuitive than the traditional approach.
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It provides a coherent and pedagogically sound framework for learning and teaching algorithms. An extensive, detailed solutions manual is available online for the benefit of students and instructors. Student learning is further supported by exercise hints and chapter summaries. Popular puzzles and games provide motivation for students, and rhetorical questioning serves as an effective learning device.
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Ideal for a basic course in the design and analysis of algorithms, this Second Edition features 80 new puzzles and exercises, as well as:
• Separate sections on the analysis of nonrecursive and recursive algorithms
• Coverage of empirical analysis and algorithm visualization
• Revised section on approximation algorithms
• Brand-new chapter on iterative improvement algorithms covering the simplex method, network flows, maximum matching in bipartite graphs, and the stable marriage problemMost helpful customer reviews
27 of 31 people found the following review helpful.
Great introductory text!
By Karl F. Schramm
For those of you who've always wanted to throw the Cormen text out the window rejoice you finally can! This book is an excellent introduction to algorithms. Though not as thorough as the Cormen text it's orders of magnitude more readable!
9 of 9 people found the following review helpful.
Fantastic intro book
By Sat Garcia
Even though this book is only a few years old, it seems like a well-worn classic. That is not to say that it is outdated and irrelevant; it is exactly the opposite! While my knowledge of algorithms textbooks isn't encyclopedic, I can say that this book was way ahead of the curve in it's layout. Before it, most books presented a bunch of algorithms with some loose affiliations such as being search algorithms or dealing with graphs. This book groups algorithms into major themes and makes it much easier to learn the fundamentals of algorithm design. There have been a new set of algorithms textbooks coming out as late (Kleinberg and Tardos, Dasgupta et al, etc) that have the same approach as this book because it works so well. Don't miss out!
7 of 7 people found the following review helpful.
Great basic algorithms book
By Megan K.
I've read other algorithm books like Cormen's Introduction to Algorithm's, but The Design and Analysis of Algorithms is by far the best. The chapters are organized by concepts like Greedy and Divide-and-Conquer instead of by problem types like sorting or searching. It was also written using a more conversational tone than your average computer science text, so it was much easier and more interesting to read. Overall, it's a great book that I would definitely recommend for anyone looking to learn or brush up on algorithms!
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