Introduction to Algorithms (Cloth) - With CD - 2nd edition

Summary: The updated new edition of the classic Introduction to Algorithms is intended primarily for use in undergraduate or graduate courses in algorithms or data structures. Like the first edition, this text can also be used for self-study by technical professionals since it discusses engineering issues in algorithm design as well as the mathematical aspects.
In its new edition, Introduction to Algorithms continues to provide a comprehensive introduction to the modern ...show more study of algorithms. The revision has been updated to reflect changes in the years since the book's original publication. New chapters on the role of algorithms in computing and on probabilistic analysis and randomized algorithms have been included. Sections throughout the book have been rewritten for increased clarity, and material has been added wherever a fuller explanation has seemed useful or new information warrants expanded coverage.

As in the classic first edition, this new edition of Introduction to Algorithms presents a rich variety of algorithms and covers them in considerable depth while making their design and analysis accessible to all levels of readers. Further, the algorithms are presented in pseudocode to make the book easily accessible to students from all programming language backgrounds.

Each chapter presents an algorithm, a design technique, an application area, or a related topic. The chapters are not dependent on one another, so the instructor can organize his or her use of the book in the way that best suits the course's needs. Additionally, the new edition offers a 25% increase over the first edition in the number of problems, giving the book 155 problems and over 900 exercises that reinforce the concepts the students are learning.

New to This Edition :

• This is the first revision of this classic text originally published in 1989.
• Introduction to Algorithms is useful for a variety of courses, from an undergraduate course in data structures up through a graduate course in algorithms.
• The wide range of topics in this book makes it an excellent handbook on algorithms. Because each chapter is relatively self-contained, the instructor can organize the course in the manner that best suits him or her.

• This book contains over 900 exercises that check understanding of basic concepts and over 120 more elaborate problems that require students to implement what they have learned.

Edition/Copyright: 2ND 01
Cover: Hardback
Publisher: McGraw-Hill Publishing Company
Published: 12/16/2003
International: No

View Author Bio

Cormen, Thomas H. : Dartmouth College

View Table of Contents

Preface

I Foundations

1 The Role of Algorithms in Computing
2 Getting Started
3 Growth of Functions
4 Recurrences
5 Probabilistic Analysis and Randomized Algorithms

II Sorting and Order Statistics

6 Heapsort
7 Quicksort
8 Sorting in Linear Time
9 Medians and Order Statistics

III Data Structures

10 Elementary Data Structures
11 Hash Table
12 Binary Search Trees
13 Red-Black Trees
14 Augmenting Data Structures

IV Advanced Design and Analysis Techniques

15 Dynamic Programming
16 Greedy Algorithms
17 Amortized Analysis

V Advanced Data Structures

18 B-Trees
19 Binomial Heaps
20 Fibonacci Heaps
21 Data Structures for Disjoint Sets

VI Graph Algorithms

22 Elementary Graph Algorithms
23 Minimum Spanning Trees
24 Single-Source Shortest Paths
25 All-Pairs Shortest Paths
26 Maximum Flow

VII Selected Topics

27 Sorting Networks
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

A Summations
B Sets, Etc.
C Counting and Probability
Bibliography
Index (created by the authors)

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