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Introduction to Algorithms, third edition by [Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein]

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Thomas H. Cormen

Charles E. Leiserson

Introduction to Algorithms, third edition Kindle Edition

by Thomas H. Cormen (Author), Charles E. Leiserson (Author), Ronald L. Rivest (Author), Format: Kindle Edition

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The latest edition of the essential text and professional reference, with substantial new material on such topics as vEB trees, multithreaded algorithms, dynamic programming, and edge-based flow.

Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. The book covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor.

The first edition became a widely used text in universities worldwide as well as the standard reference for professionals. The second edition featured new chapters on the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming. The third edition has been revised and updated throughout. It includes two completely new chapters, on van Emde Boas trees and multithreaded algorithms, substantial additions to the chapter on recurrence (now called “Divide-and-Conquer”), and an appendix on matrices. It features improved treatment of dynamic programming and greedy algorithms and a new notion of edge-based flow in the material on flow networks. Many exercises and problems have been added for this edition. The international paperback edition is no longer available; the hardcover is available worldwide.

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1920 pages
Language

English
Publisher

The MIT Press
Publication date

July 31, 2009
File size

13690 KB
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Editorial Reviews

Review

"

"In light of the explosive growth in the amount of data and the diversity of computing applications, efficient algorithms are needed now more than ever. This beautifully written, thoughtfully organized book is the definitive introductory book on the design and analysis of algorithms. The first half offers an effective method to teach and study algorithms; the second half then engages more advanced readers and curious students with compelling material on both the possibilities and the challenges in this fascinating field."--Shang-Hua Teng, University of Southern California

""Introduction to Algorithms, " the 'bible' of the field, is a comprehensive textbook covering the full spectrum of modern algorithms: from the fastest algorithms and data structures to polynomial-time algorithms for seemingly intractable problems, from classical algorithms in graph theory to special algorithms for string matching, computational geometry, and number theory. The revised third edition notably adds a chapter on van Emde Boas trees, one of the most useful data structures, and on multithreaded algorithms, a topic of increasing importance."--Daniel Spielman, Department of Computer Science, Yale University

"As an educator and researcher in the field of algorithms for over two decades, I can unequivocally say that the Cormen book is the best textbook that I have ever seen on this subject. It offers an incisive, encyclopedic, and modern treatment of algorithms, and our department will continue to use it for teaching at both the graduate and undergraduate levels, as well as a reliable research reference."--Gabriel Robins, Department of Computer Science, University of Virginia --This text refers to an alternate kindle_edition edition.

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).

Charles E. Leiserson is Professor of Computer Science and Engineering at the Massachusetts Institute of Technology.

Ronald L. Rivest is Andrew and Erna Viterbi Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology.

Clifford Stein is Professor of Industrial Engineering and Operations Research at Columbia University.

--This text refers to an alternate kindle_edition edition.

ASIN : B08FH8N996
Publisher : The MIT Press (July 31, 2009)
Publication date : July 31, 2009
Language : English
File size : 13690 KB
Text-to-Speech : Enabled
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Print length : 1920 pages
Lending : Not Enabled

Best Sellers Rank: #35,569 in Kindle Store (See Top 100 in Kindle Store)
- #3 in Algorithm Programming
- #12 in Programming Algorithms
- #37 in Tech Culture & Computer Literacy

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1,448 ratings

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Top reviews from the United States

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thomas scanlan

Helpful text, but not sufficient as sole resource

Reviewed in the United States on January 31, 2019

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My process for studying this text is to read a section at a time and walk through the examples illustrated. I often struggle with the math that is being demonstrated as a proof for the algorithm. I then research an actual example of the topic discussed and watch a youtube video that demonstrates it in application.

I then re-read the section and take notes. I find that I feel somewhat lost at first when the book introduces a topic that I am unfamiliar with, but after reviewing it from a high level (youtube video) it helps me understand the algorithm on a surface level. Once I understand it in its simplest terms, the proofs become much simpler and they make a lot of sense.

I think to get everything out of this text you should be comfortable with data-structures, linear algebra and discrete mathematics. I found discrete math and linear algebra to be difficult courses, but this text is increasing my confidence in how much I had learned in those courses.

Great text but at times I feel lost. I wish the examples were more comprehensive at times.

36 people found this helpful

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Matthew

Good, But Still Very Complex!

Reviewed in the United States on March 20, 2016

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For background, I am a not-so-sharp CS undergrad that used this book for an intro. to algorithms class. I've done linear algebra, struggled my way through a "calculus" probability course, and enjoyed implementing many typical data structures. My learning style relies on simple examples (especially visual) accompanied by a concise explanation. Here are my thoughts:

This book is impressive! It covers a lot of subject matter and is clearly worded. However, you're going to get lost because this often reads more like a reference manual than a conversation that appeals to intuition. You'll be pushed into analyzing algorithms for theoretical data structures that you fuzzily remember (if at all). But, nonetheless, throw enough man hours into this book and you will learn concrete approaches to determining just how hard you're making the computer work.

My biggest criticism is that, as an *introduction*, this book doesn't do the best job at warming up readers to new tools and methodologies. This is an 'eh, just push them into the deep end' kind of approach to learning.

159 people found this helpful

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CyrixLord

very mathy

Reviewed in the United States on October 29, 2018

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yes, yes, it's an algorithm book but it looks like they expect you to be fluent in math so don't expect a primer here. great at making me looks smart to people who look at my bookshelf. I found 'easier' descriptions of common algorithms online but If you already know math like a boss, this would be pretty helpful. Better bring some water because its also pretty dry reading.

29 people found this helpful

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Ben Bitdiddle

Text is pretty good but has pedagogical weaknesses

Reviewed in the United States on October 6, 2016

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I think this is a pretty good book that is easy to read if you have a strong background in proof-based math.

Highlights:
- The introduction (Chapters 1-4) is really good and does a good job setting up all the fundamental concepts of algorithms. I think a lot of people tend to skip over introductions because they think they know all of it already, but this is an introduction that I recommend reading the whole way through.
- The book is a pretty light read (none of the math is too difficult) and each chapter is a good length.
- I think the material on dynamic programming and greedy algorithms was particularly enlightening, and if you read it the whole way through you actually learn how to prove that greedy algorithms work, instead of just being like "let's use a greedy algorithm because it seems right"
- I was able to copy a lot of CLRS code almost verbatim in my programming interviews and pass them.
- The figures are really well done and informative.

Drawbacks:
- The pseudocode has a lot of one-letter variable names, and while this follows the tradition of pure math, it also makes understanding the algorithms more difficult than it should be.
- Sometimes the pseudocode is not the "easiest" possible pseudocode (for example, merge sort), and I think it would be better if the authors presented a simpler version of the pseudocode first and then extended it to the optimal version. But then I guess CLRS would be even longer than it already is.
- The arrays are 1-indexed, which makes it trickier to convert to code. Also there are some sections of the textbook (the counting sort section) where some of the arrays are 0-indexed and other arrays are 1-indexed, which is just weird.
- I think the material on graphs, particularly the derivations, could be done in a more engaging and intuitive way. The derivations in Chapters 22-24 were a long series of small uninteresting lemmas, instead of a small number of harder, more insightful theorems. I found derivations elsewhere on the internet that were a lot more interesting and built more intuition about why the procedures worked. I feel like the rest of the book is pretty good though, so maybe all the graph stuff was written by a separate person who is not very good at explaining things.

70 people found this helpful

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Top-Notch Content, Poor Binding

Reviewed in the United States on June 3, 2016

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This is probably the most well known and most used textbook on the subject, and with good reason. An excellent resource, covering just about everything you need to know for a good understanding of Algorithms. (side tip, my friends in the industry call this the "How To Pass a Google Interview" book).

My only complaint is that the binding has completely stated disintegrating after only 9 weeks of use. All of chapters 15 and 16 are completely falling out of my copy (and this is getting worse). Very disappointing as I plan on using it for a long time.

36 people found this helpful

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Monday Monkey

Thorough, Rigorous, Maybe not Best for Most Beginners

Reviewed in the United States on October 31, 2015

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I'm reviewing this for what it is: An academic text that also serves as a collective document of algorithms for the community (computer science, etc.). This is not a beginner text. It's a first-class algorithms book that is very academically rigorous. That's not a put-down.

Great reference and great read when you need to get out of the box and think creatively.

For a more approachable intro to algorithms, check out Sedgewick's book. That book also has a companion website and Coursera course. it's hard to go wrong with that combo.

40 people found this helpful

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Top reviews from other countries

Sam

This is THE textbook on algorithms

Reviewed in the United Kingdom on February 28, 2018

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This is the definitive textbook on algorithms, and something no Computer Science student or researcher should ever be without.

That said, the approach, whilst detailed, is at times quite dry and heavy going, and could perhaps be broken up a little more to keep the reader refreshed and focused.

8 people found this helpful

DanF

Book is missing of pages

Reviewed in the United Kingdom on March 24, 2019

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I have bought this book over 2 years ago but only now I have realised that over 100 pages are missing (I usually use an electronic version of it). You clearly can see from the images that it is not possible seeing the missing pages from the side of the tome that means the book is was originally faulty.

7 people found this helpful

Steven Warriner

Tends to student textbook rather than cookbook of algorithms

Reviewed in the United Kingdom on December 3, 2018

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Comprehensive and large selection of algorithms with emphasis on analysis of the runtime of the algorithms. Written as student textbook so some of elaboration and analysis is presented as exercises to be completed. The algorithms themselves are clearly described and given in pseudo-code, but there is no difficulty transcribing them into an actual language.

On balance given 5* for comprehensive coverage of algorithms and clear descriptions - but don't expect a pure cookbook of algorithms that can be typed in or downloaded.

3 people found this helpful

Yashas

Received A Xerox Copy

Reviewed in India on January 7, 2020

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Firstly, this is not the international edition. It's the Eastern economy edition. And the book I received, sold by "law book world", seems like a xerox copy. Doesn't seem legit. Disappointed about that.

But I got it for a price of 900 Rs. Still, it's not correct for the seller to ship a Xerox copy. And the quality of the xerox is not good as well because in many pages, the ink is too light and almost not readable.

Coming to the book itself, it's a great book and no doubt it. Recommend this book to anyone who wants to study algorithms.

18 people found this helpful

Ed Robinson

Maybe a bit formal technically but the best book around as far as I have seen

Reviewed in the United Kingdom on January 13, 2017

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Maybe a bit formal technically but the best book around as far as I have seen.
The only place I could really find for Van Embde trees which apparently are the latest thing.
Very (very) comprehensive and worth persevering with - given its formality.
Really a must for reference.

4 people found this helpful