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Introduction To Algorithms 3rd Edition

Author: Al. Cormen
Paperback
Language: English
Length: 1310 Pages
Publisher: MIT
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Introduction To Algorithms 3rd Edition (Paperback) Price: Rs.646

Introduction To Algorithms is one of the most commonly referred texts when it comes to algorithms, and is used as a textbook in several colleges.

Summary Of The Book

The contemporary study of all computer algorithms can be understood clearly by perusing the contents of Introduction To Algorithms. Although this covers most of the important aspects of algorithms, the concepts have been detailed in a lucid manner, so as to be palatable to readers at all levels of skill.

Introduction To Algorithms has a number of chapters, each of which is self-contained, as it contains an algorithm, followed by a design technique. There is also an area of application or a related topic, so that students can find out the practical implications of the algorithm in question.

There is an introduction unit, where the foundations of algorithms are covered. At all points in the book, the jargon and technical information are presented so as to be readable by anyone who has dabbled to some extent in programming. The foundation unit seeks to enlighten the reader regarding the role algorithms play in modern computer programming and the growth of functions, among other things.

Introduction To Algorithms then moves on to Sorting and Order Statistics, introducing the concepts of Heapsort and Quicksort, and also explaining how to sort in real time. A number of other topics such as Design and Analysis and Graph Algorithms are covered in the book. One feature to note in this book is that two new chapters have been added in this third edition, one on multithreaded algorithms and another on Van Emde Boas trees.

Introduction To Algorithms is a popular book that has sold more than twenty million copies in total. In fact, it is so famous that it is commonly referred to as ‘CLRS’, after the initials of the authors. The book includes new problems and exercises in this edition.

About The Authors

Charles E. Leiserson is a professor at Massachusetts Institute of Technology, in the Electrical Engineering and Computer Science department.

Leiserson is also a Margaret MacVicar Faculty Fellow. He is part of the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT and conducts extensive research in the field of computer science.

Thomas H. Cormen is the Professor and Chair in the department of Computer Science at Dartmouth.

He completed his Ph.D from Massachusetts Institute of Technology in 1992, and has been teaching ever since. His research interests include parallel computing and algorithm engineering.

Ronald L. Rivest is a popular cryptographer and he is the Erna Viterbi Professor of Computer Science at Massachusetts Institute of Technology.

Rivest is also a member of the CSAIL, along with Professor Leiserson, and helps draft the guidelines for the Voluntary Voting System for the Election Assistance Commission.

Clifford Stein is the Professor of Computer Science as well as IEOR at Columbia University.

Stein was also chair of the IEOR department for five years from 2008 to 2013, before which he was an Assistant and Associate Professor at Dartmouth College.

Table of Contents

Preface
I Foundations
Introduction
1 The Role of Algorithms in Computing
2 Getting Started
3 Growth of Functions
4 Divide-and-Conquer
5 Probabilistic Analysis and Randomized Algorithms
II Sorting and Order Statistics
Introduction
6 Heapsort
7 Quicksort
8 Sorting in Linear Time
9 Medians and Order Statistics
III Data Structures
Introduction
10 Elementary Data Structures
11 Hash Tables
12 Binary Search Trees
13 Red-Black Trees
14 Augmenting Data Structures
IV Advanced Design and Analysis Techniques
Introduction
15 Dynamic Programming
16 Greedy Algorithms
17 Amortized Analysis
V Advanced Data Structures
Introduction
18 B-Trees
19 Fibonacci Heaps
20 Van Emde Boas Trees
21 Data Structures for Disjoint Sets
VI Graph Algorithms
Introduction
22 Elementary Graph Algorithms
23 Minimum Spanning Trees
24 Single-Source Shortest Paths
25 All-Pairs Shortest Paths
26 Maximum Flow
VII Selected Topics
Introduction
27 Multithreaded Algorithms
28 Matrix Operations
29 Linear Programming
30 Polynomials and the FFT
31 Number-Theoretic Algorithms
32 String Matching
33 Computational Geometry
34 NP-Completeness
35 Approximation Algorithms
VIII Appendix: Mathematical Background
Introduction
A Summations
B Sets, Etc.
C Counting and Probability
D Matrices
Bibliography
Index

Specifications of Introduction To Algorithms 3rd Edition (Paperback)

Contributors
Author Al. Cormen
Book Details
Publisher MIT
Publication Year 2010
ISBN-13 9788120340077
ISBN-10 8120340078
Language English
Edition 3rd
Binding Paperback
Number of Pages 1310 Pages
University Books Details
Specialization Electronics & Communication, Computer Science Engineering, Information Technology, Instrumentation and Control Engineering, Biotechnology, Computer Science Engineering
Term 5th Semester, 6th Semester, 3rd Semester, 7th Semester, 4th Semester
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Book Reviews of Introduction To Algorithms 3rd Edition

4.6
Average Rating
Based on 479 ratings
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Most Helpful Reviews (5 of 89)

04 April 11
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certified buyer
Refines you

Anyone who wants to buy this book, are you in skeptic mood?

The best thing I can say about this book is

If you are an
expert-> you will be happy to remain an expert and become stronger
intermediate->expert
beginner->you will be so happy to write a review as a new person :)

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79% of 28 users found this review helpful.
27 April 11
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certified buyer
Must have in the rack

Having read many books on Algorithms, this one definitely deserves a special place. I would not be flattering if I can say that this is the bible of Algorithms. Folks, if you are trying to learn Algo's and land up in niche place, this is the book you should refer.
Last not the least, thank you flipkart for giving 40% off on such a wonderful book

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94% of 17 users found this review helpful.
★★★★★
★★★★★
16 November 11
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certified buyer
Excellent book

This is a complete book (for undergraduate level), like a bible for algorithms. With page number running into four digits, it's a very detailed and descriptive book, which makes it an excellent learning resource for beginners.

A good grip of mathematics will be of great help. However, most of what is required is put into the Appendix, so you won't have to go hunting for a piece of maths.

This is a great book, which is further solidified by the fact that it is used as a textbook for MIT (Massachusetts, USA) Undergraduate Course 'Introduction to Algorithms'.

If you are looking for short, concise and yet an elegant book on algorithms, try this:
www.flipkart.com/books/8120311310?affid=setu2kxyah
(Fundamentals Of Algorithmics, by Brassard & Bratley)

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8 of 10 users found this review helpful.
★★★★★
★★★★★
23 October 12
Fantabulous Book !!!

Hello everybody,
Actually I m from the It stream but i m a little weak in the area of data structures and algorithms.I came to know about this book through flipcart and the reviews about this book helped me to absorb the rough idea of this book. So i ordered this book and thanks to the Flipcart since they delivered the book within the stipulated time. I would say that its the bible for Data structures. the concepts have been explained well and in the high class manner. the real time examples have been quoted well and the concepts can be easily understood even for the beginners.
So i would say that if u feel u r slow in Data structures, U go for this book "Intro to algorithms".... This book will turn u into the master of DS.
Thanks to the flipcart team for the delivery of this book on the exact date.....

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4 of 4 users found this review helpful.
★★★★★
★★★★★
20 December 12
Good Math is required - Should be patient - Very detail description

I read 1st part of the book (as a beginner who knew almost (not totally) about algorithms). Here is what I felt

* Great description of algorithms and analysis.

* You will love the pseudo code

* Good math skills are needed. Certain algorithms are just thrown at readers as exercises - Don't skip them

* For self learners: Should take a year to complete (approx, might take more). You got to be patient to cover all areas - especially exercises.

* As a text book? : Yeah! Follow your class lecturers, refer the topic in this book at home, get the exercises done, you are King!

* This book talks about lots of topics which generally aren't covered in many books. That's why its difficult to understand, a big 1300 pgs.

* IN BRIEF:
(If you got good math, enough time and good tutor or guide, get this one)

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4 of 4 users found this review helpful.

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★★★★★
★★★★★
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Value of money

This book is very good. This book is the bible of algorithms.

Main important point, Flipkart service is very good...

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20 April 14
★★★★★
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Excellent

This book it best for all levels of programmers.. It briefly explains each and every essential algorithms that are used in dail...

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08 April 14
★★★★★
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Bible of algorithms

This particular book can easily be called the 'bible of algorithms'. A must have (if possible read too :P) book for any CS theo...

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04 April 14
★★★★★
★★★★★
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Best book for algorithms and data structure

"Introduction to algorithms 3rd edition" is unarguably the best book for learning algorithms and data structures.The...

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01 April 14
★★★★★
★★★★★
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Good book for anybody who want to study algorithms

I find this book very useful for studying algorithms. Language is good and easy to read. Concepts are very well explained. Only...

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31 March 14
    Book: Introduction To Algorithms 3rd Edition by Al. Cormen
    ISBN Number: 8120340078, 9788120340077, 978-8120340077

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