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Introduction to Algorithms (English)

(Hardcover, Clifford Stein Ronald L Rivest Charles E Leiserson Thomas H Cormen)
Length: 1292 pages
Publisher: Mit Pr
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Key Features of Introduction to Algorithms (English)

  • Language: English
  • Binding: Hardcover
  • Publisher: Mit Pr
  • ISBN: 9780262033848, 0262033844
  • Edition: 3rd Edition, 2009
  • Pages: 1292

Introduction to Algorithms (English) (Hardcover, Clifford Stein Ronald L Rivest Charles E Leiserson Thomas H Cormen) Price: Rs. 5,250

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, and substantial additions to the chapter on recurrences (now called "Divide-and-Conquer"). 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 new exercises and problems have been added for this edition.

As of the third edition, this textbook is published exclusively by the MIT Press.

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Table of Contents

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 (English) (Hardcover, Clifford Stein Ronald L Rivest Charles E Leiserson Thomas H Cormen)

Book Details
Publication Year 2009 September
Dimensions
Weight 2204 g
Height 9.48
Width 8.5
Depth 52.24
Contributors
Author Clifford Stein Ronald L Rivest Charles E Leiserson Thomas H Cormen
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Reviews of Introduction to Algorithms (English) (Hardcover, Clifford Stein Ronald L Rivest Charles E Leiserson Thomas H Cormen)

3.9

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Based on 24  ratings

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★★★★★
★★★★★

anupam Khattri

Aug 10, 2014

Buy The Eastern Economy Edition

Buy the cheaper version for Rs650 as the book is same the only difference is the price.
BTW good book.
★★★★★
★★★★★

Prikshit Kumar

Aug 16, 2013

A must have book for every Computer Science student

This book contains all the topics that are covered in any computer science course.
Everything in this book is very well defined and written in a very nice way. This is one of the best books for algorithms and data structures. It contains a lot of maths and this makes it even more better. Every single proof is very well written and can be easily understood by any student.
My suggestion is to buy this in your early semester unlike me (i still regret that) and start reading it as much and as early as possible.
★★★★★
★★★★★

Digvijay Singh

May 3, 2012

First to review
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certified buyer

Best book on algorithms.

First of all, thanks to Flipkart for their awesome service.
This is the best introduction book for algorithms. Really heavy and filled with updated knowledge.
I would recommend this book for every CS student.
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