The Algorithm Design Manual: Text (Google eBook)

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Springer Science & Business Media, 1998 - Computers - 486 pages
34 Reviews
This volume helps take some of the "mystery" out of identifying and dealing with key algorithms. Drawing heavily on the author's own real-world experiences, the book stresses design and analysis. Coverage is divided into two parts, the first being a general guide to techniques for the design and analysis of computer algorithms. The second is a reference section, which includes a catalog of the 75 most important algorithmic problems. By browsing this catalog, readers can quickly identify what the problem they have encountered is called, what is known about it, and how they should proceed if they need to solve it. This book is ideal for the working professional who uses algorithms on a daily basis and has need for a handy reference. This work can also readily be used in an upper-division course or as a student reference guide. THE ALGORITHM DESIGN MANUAL comes with a CD-ROM that contains: * a complete hypertext version of the full printed book. * the source code and URLs for all cited implementations. * over 30 hours of audio lectures on the design and analysis of algorithms are provided, all keyed to on-line lecture notes.
  

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Review: The Algorithm Design Manual

User Review  - Saul - Goodreads

This book is a great overview of the many families of important algorithms in computer science. The explanations and motivations are clear and engaging; I particularly liked the little "war stories ... Read full review

Review: The Algorithm Design Manual

User Review  - Josh Davis - Goodreads

I can't think of an occasion when I'd recommend this over Intro to Algorithms (CLRS). It does a fraction of what CLRS does and worse in most cases. And in the rest of the cases, it does them exactly ... Read full review

Contents

Introduction to Algorithms
3
Data Structures and Sorting
27
Breaking Problems Down
53
Graph Algorithms
81
Combinatorial Search and Heuristic Methods
115
Intractable Problems and Approximations
139
How to Design Algorithms
163
A Catalog of Algorithmic Problems
171
Algorithmic Resources
427
Bibliography
439
Index
463
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