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  • The Algorithm Design Manual

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The Algorithm Design Manual


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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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Editorial Reviews

Review

"...the book is an algorithm implementation treasure trove, and putting all of these implementations in one place was no small feat. The list of implementations, an extensive bibliography, and the CD-ROM make the book an invaluable resource for everyone interested in the subject." --ACM Computing Reviews

Product details

  • ASIN ‏ : ‎ 0387948600
  • Publisher ‏ : ‎ Springer
  • Publication date ‏ : ‎ November 14, 1997
  • Edition ‏ : ‎ 1st ed. 1998. Corr. 2nd printing
  • Language ‏ : ‎ English
  • Print length ‏ : ‎ 486 pages
  • ISBN-10 ‏ : ‎ 9780387948607
  • ISBN-13 ‏ : ‎ 978-0387948607
  • Item Weight ‏ : ‎ 2.3 pounds
  • Dimensions ‏ : ‎ 7.25 x 1.25 x 9.5 inches
  • Best Sellers Rank: #2,955,923 in Books (See Top 100 in Books)

About the author

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Steve Skiena
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Steven S. Skiena is Distinguished Teaching Professor of Computer Science at Stony Brook University. He is the author of six well-regarded books: The Algorithm Design Manual (2020), The Data Science Design Manual (2017), Who's Bigger (2013), Calculated Bets: Computers, Gambling, and Mathematical Modeling to Win (2001), Programming Challenges (with Miguel Revilla, 2003) and Computational Discrete Mathematics (with Sriram Pemmaraju, 2003).