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(12 reviews)
Author: Visit Amazon's Thomas H. Cormen Page
ISBN : 0262518805
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Format: PDF, EPUB
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Review
"Algorithms are at the center of computer science. This is a unique book in its attempt to open the field of algorithms to a wider audience. It provides an easy-to-read introduction to an abstract topic, without sacrificing depth. This is an important contribution and there is nobody more qualified than Thomas Cormen to bridge the knowledge gap between algorithms experts and the general public." -- Frank Dehne, Chancellor's Professor of Computer Science, Carleton University
"Thomas Cormen has written an engaging and readable survey of basic algorithms. The enterprising reader with some exposure to elementary computer programming will discover insights into the key algorithmic techniques that underlie efficient computation." -- Phil Klein, Professor, Department of Computer Science, Brown University
"Thomas Cormen helps readers to achieve a broad understanding of the key algorithms underlying much of computer science. For computer science students and practitioners, it is a great review of key algorithms that every computer scientist must understand. For non-practitioners, it truly unlocks the world of algorithms at the heart of the tools we use every day." -- G. Ayorkor Korsah, Computer Science Department, Ashesi University College
About the Author
Thomas H. Cormen is Professor of Computer Science and former Director of the Institute for Writing and Rhetoric at Dartmouth College. He is the coauthor (with Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein) of the leading textbook on computer algorithms,
Introduction to Algorithms (third edition, MIT Press, 2009).
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- Paperback: 240 pages
- Publisher: The MIT Press (March 1, 2013)
- Language: English
- ISBN-10: 0262518805
- ISBN-13: 978-0262518802
- Product Dimensions: 6 x 9 inches
- Shipping Weight: 12 ounces (View shipping rates and policies)
Free Algorithms Unlocked
This is an interesting book. It's halfway between the typical science-book-for-non-scientists and a textbook. Unlike most science books for non-scientists, the author doesn't dumb down the material for the reader; he assumes you're intelligent and are willing to work a bit to understand what he says (including following mathematical arguments with actual equations). In fact, I only bought the book because the author was Cormen; I was familiar with his algorithms textbook (Introduction to Algorithms, better known as CLRS after the initials of the authors), which is absolutely authoritative, so I knew the material would be correct. (Having Julie Sussman, P.P.A., as the proofreader was also a big plus.) Unlike CLRS, this is not a textbook, but rather kind of a "pre-textbook". Its purpose is to whet your appetite, to teach you enough about the material so that you can decide if you want to study it more formally or not. If so, you can go straight to CLRS. If not, at least you'll have learned something. The people who will get the most out of this book are self-taught programmers who have never taken a course in algorithms but who nevertheless need to know this material. (And believe me, if you're a programmer, you _do_ need to know this material, whether you realize it or not.) Non-programmers may find that the book is too technical (especially the last few chapters, which get fairly heavily into topics like number theory and reductions of NP-complete problems). Despite this, I can think of no other book that provides such a clear introduction to the field of algorithms with so few prerequisites. Cormen's explanations are lucid and interesting throughout, and the topics are motivated by real-world applications which often don't find their way into textbook descriptions.
Upon un-boxing, I looked at the back cover photo and thought, "uh-oh, another Ivy League professor who thinks everything is intuitively obvious, and disrespects you if it's not." One of the reasons more Americans don't go into computer science IMHO is that the basics are NOT intuitive, and turning your class into a boot camp - with programming assignments made purposely too time consuming - does nothing but hinder....oh, wait, this is a book review, I digress.
Anyways, this book is NOT that, it's a good book. For example, chapter 2 goes from assuming no knowledge of computer programming to asymptotic notation, and it's actually understandable! I've taken an algorithms class, and although able to muddle through it, I only understood about 1/4 the theoretical part. This book helps fill that void and I have renewed confidence that I will be able to understand the more theoretical aspect to algorithms the next time I encounter them (I'm back in school studying CS at night). I've read this book once, from cover to cover - retaining about 1/2 of it. Now it's a second time with highlighter and notes so that I can retain the book in its entirety.
It's not really a book for the "we're all going to be cyborgs, algorithms rule the world" pop-computing crowd, and I suspect it would take a gifted reader to understand this book if he or she truly had no clue about programming. A computer program algorithm is a different way of looking at the world than most folks are used to. But in the first chapter - presumably the one somebody would thumb through at the book store - the author actually points the reader to a less technical book if this one seems too technical.
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