Introduction to Algorithms | Thomas H. Cormen, Charles E. Leiserson, ...

Introduction to Algorithms | Thomas H. Cormen, Charles E. Leiserson, ... | Excellent Book

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Introduction to Al...

	Introduction to Algorithms Thomas H. Cormen, Charles E. Leiserson, ... The MIT Press, 2001 - 1184 pages average customer review:based on 166 reviews view larger image
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highly recommended

The first edition won the award for Best 1990 Professional and Scholarly Book in Computer Science and Data Processing by the Association of American Publishers.

There are books on algorithms that are rigorous but incomplete and others that cover masses of material but lack rigor. Introduction to Algorithms 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 the standard reference for professionals and a widely used text in universities worldwide. The second edition features new chapters on the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming, as well as extensive revisions to virtually every section of the book. In a subtle but important change, loop invariants are introduced early and used throughout the text to prove algorithm correctness. Without changing the mathematical and analytic focus, the authors have moved much of the mathematical foundations material from Part I to an appendix and have included additional motivational material at the beginning.

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The best textbook on algorithms, but it is not a programming book.

I used this book for a graduate level Algorithms course, and I really liked it. It is packed full of content on a wide range of topics. While this book does provide some high-level implementations of algorithms in pseudo-code, you will not find any examples of how to program algorithms in this book. That's really not what this book is meant for anyways.

I found the reading to be easier than Knuth on similar topics, but you still need to have sufficient mathematical background in order to keep up (statistics, discrete math, some calculus). Also, unlike many technical books I've read recently, I did not find any mistakes, not even a typo.

Some people are not aware that the MIT Open Courseware website has some excellent free video course lectures that use this book. I highly recommend at least viewing the first three or four of those lectures if you are new to this topic because they compliment this book very well. Make sure you understand the first four chapters of this book before moving on to other topics.

Also, since it had been a while since I had the math as an undergraduate, I was relieved to learn that this book had several appendices that provided a review of the math topics required by the book.

The only negative about the book is that it does not provide answers to any of the exercises at the end of the chapters, so you really need to use this book in conjunction with a course in order to be able to check your progress and how well you are learning the information. If you're not using this book with a course, check the MIT Open Courseware website that I mentioned previously. It has some sample assignments you can use.

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Excellent Book

This book is must have for any software programmer. It is one of the best book I had ever had. It has many mathematical concepts and ppl who are mathematical geeks with software skills will love this book even more like me. This was the first book i bought from Used book section and I am extremely satisfied with the condition. I was quite skeptical when I was buying the book, but the sellers are really good with the what they promised. I am totally impressed and i really appreciate it.
Thanks Guys.

This version has NO CD

There are three versions of the second edition, only one of which has the CD:

The first one is published by the MIT Press, with the title "Introduction to Algorithms". This one has no CD. This is the one Amazon currently carries, so if you buy from Amazon, you get no CD.

The second one is published by McGraw-Hill, also with the title "Introduction to Algorithms". This one also has no CD.

The third one is published by McGraw-Hill too, but has the title "Introduction to Algorithms and Java CD-ROM". This is the one with the CD. It's much more expensive than the other two.

The CD in the third version contains implementations of the algorithms in Java.

To find someone that carries the CD version, search for this ISBN-13 number: 9780072970548 , or for "Introduction to Algorithms and Java CD-ROM" .

Note: Some listings that come up for the ISBN number will not be the correct version. Look carefully for "and Java CD-ROM" before buying.

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excellent resource

This book is (in my opinion) an essential resource of common computer science algorithms. It covers a broad range of different algorithm topics and I found the explanations by the authors extremely helpful and simple to understand (both with simple and advanced topics). It does attempt to cover as many algorithm topics as possible, so some topics may not be covered in fine detail (it does not spend as much time on runtime analysis as other books, or spend much time on NP problems). It is perfect for someone taking an algorithms class (grad or undergrad), or someone looking to broaden their algorithm knowledge. I only wish there was some form of solutions guide to help verify answers to review questions.

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Complex Topics. Not so Complex Book.

If any book is being worshipped for it's content on Algorithms in Academia, then it is this book. I have used this book both in my undergraduate and my Masters and definitely the best in the field.

But, I personally think the topics covered are complex to begin with. So, it takes this book and couple of books for reference to understand the topics completely. If you want to develop new efficient algorithms, then this is the book to begin with. Over all a very good book. Would definitely recommend it.

reviews: page 1, 2, 3, 4, 5, 6, 7, 8, 9, 10

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