The Algorithm Design Manual
by Steven S. Skiena
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Book Summary Information
Author: Steven S. SkienaEdition: Hardcover
Audio: English (Unknown); English (Original Language); English (Published)
Published: 2008-07-26
ISBN: 1848000693
Number of pages: 752
Publisher: Springer
Book Reviews of The Algorithm Design Manual
Book Review: A sort of atlas for what is possible using the integer half of your computer machine
Summary: 5 Stars
I'm a numerics guy. This means I am generally interested in solving problems with solutions which are well modeled by real numbers. Algorithms involving real numbers mostly run on the floating point side of your CPU. I got interested in this sort of thing because my main intellectual interests involve solving problems with involve the "real world." Puns aside; I like thinking about problems in dynamics, signal processing, modeling quantum mechanical systems: the things most people think of as encompassing "reality." Computers can't really model real numbers, but then, a lot of the time, real numbers are just a convenience for modeling things which work long a logarithmic length scale. "Real" stuff works this way. Scientists who concern themselves with this sort of problem will often learn all about clever tricks for using the floating point part of their processor as a result.
Eventually, if you get deep enough, you need to take full advantage of the integer side of the machine. The integer side of the machine has been the primary concern of computer scientists over the years, since that's how computers really work inside. Guys like me who learned all about the floating point end of things are often in the dark as to what is possible in Integer-land. This book is an outstanding guidebook to what is possible using integer related tricks. In this book, you'll learn all about "big O," graph traversals, trees, hash functions, search and P versus NP. A lot of guys like me have only a vague grasp that such things exist. This is a great book for educating yourself as to what is possible, and the general principles of how all this stuff works. What is more, the text is interesting, profusely illustrated with useful visual aids and is written in a wonderfully clear style. I wish such a thing existed for the floating point side of things (Numerical Recipes don't count; it's a much different book), but it was certainly very helpful to me that this exists. A must read if you've never taken an "algorithms and data structures" course, but use a computer at a serious level.
Summary of The Algorithm Design Manual
This expanded and updated second edition of a classic bestseller continues to take the "mystery" out of designing and analyzing algorithms and their efficacy and efficiency. Expanding on the highly successful formula of the first edition, the book now serves as the primary textbook of choice for any algorithm design course while maintaining its status as the premier practical reference guide to algorithms. NEW: (1) Incorporates twice the tutorial material and exercises. (2) Provides full online support for lecturers, and a completely updated and improved website component with lecture slides, audio and video. (3) Contains a highly unique catalog of the 75 most important algorithmic problems. (4) Includes new "war stories" and "interview problems", relating experiences from real-world applications. Written by a well-known, IEEE Computer Science teaching-award winner, this new edition is an essential learning tool for students needing a solid grounding in algorithms, as well as a uniquely comprehensive text/reference for professionals.Design Tools & Techniques Books
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