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Algorithms Unlocked (MIT Press), by Thomas H. Cormen
Download PDF Algorithms Unlocked (MIT Press), by Thomas H. Cormen
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For anyone who has ever wondered how computers solve problems, an engagingly written guide for nonexperts to the basics of computer algorithms.
- Sales Rank: #493283 in eBooks
- Published on: 2013-03-01
- Released on: 2013-04-22
- Format: Kindle eBook
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).
Most helpful customer reviews
67 of 70 people found the following review helpful.
An excellent introduction to algorithms
By Michael Vanier
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. Algorithms are described using a kind of pseudocode which is similar to that found in CLRS, but with a lot more written exposition. Overall, this is a great book if you're interested in the topic, or think you might be. Personally, I greatly prefer this kind of "pre-textbook" approach to the usual popular science book approach, and I hope that the example this book sets encourages more textbook writers to write such books.
1 of 1 people found the following review helpful.
I would be interested in algorithms more if I read ...
By Amazon Customer
I would be interested in algorithms more if I read this book first, not CLRS. The book's approach is easier to understand for beginner. It covers almost basic algorithms, helps you understand concepts and application. Then if you wan to go further, you can go with CLRS. After reading this book, the CLRS is easier to read.
But if you only want to know about algorithms, and don't to go deeper, this book is enough for you.
0 of 0 people found the following review helpful.
Amazing book, one of the best!
By Pooshan
one of the best book.
Amazing and will help in,
- Algorithms
- Data structure,
- Interviews
- data science
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