Introduction to algorithms
C H A R L E S E. L E I S E R S O N
R O N A L D L. R I V E S T
C L I F F O R D STEIN
INTRODUCTION TO
ALGORITHMS
THIRD
EDITION
Introduction to Algorithms
Third Edition
Thomas H. Cormen
Charles E. Leiserson
Ronald L. Rivest
Clifford Stein
Introduction to Algorithms
Third Edition
The MIT Press
Cambridge, Massachusetts
London, Englandc 2009 Massachusetts Institute of Technology
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Printed and bound in the United States of America.
Library of Congress Cataloging-in-Publication Data
Introduction to algorithms / Thomas H. Cormen . . . [et al.].—3rd ed.
p. cm.
Includes bibliographical references and index.
ISBN 978-0-262-03384-8 (hardcover : alk. paper)—ISBN 978-0-262-53305-8 (pbk. : alk. paper)
1. Computer programming.2. Computer algorithms. I. Cormen, Thomas H.
QA76.6.I5858 2009
005.1—dc22
2009008593
10 9 8 7 6 5 4 3 2
Contents
Preface
xiii
I Foundations
Introduction
3
1
The Role of Algorithms in Computing 5
1.1 Algorithms 5
1.2 Algorithms as a technology 11
2
Getting Started 16
2.1 Insertion sort 16
2.2 Analyzing algorithms 23
2.3 Designing algorithms 29
3
Growth ofFunctions 43
3.1 Asymptotic notation 43
3.2 Standard notations and common functions
4
?
5
?
53
Divide-and-Conquer 65
4.1 The maximum-subarray problem 68
4.2 Strassen’s algorithm for matrix multiplication 75
4.3 The substitution method for solving recurrences 83
4.4 The recursion-tree method for solving recurrences 88
4.5 The master method for solving recurrences 93
4.6Proof of the master theorem 97
Probabilistic Analysis and Randomized Algorithms 114
5.1 The hiring problem 114
5.2 Indicator random variables 118
5.3 Randomized algorithms 122
5.4 Probabilistic analysis and further uses of indicator random variables
130
vi
Contents
II Sorting and Order Statistics
Introduction
6
7
8
9
147
Heapsort 151
6.1 Heaps 151
6.2 Maintainingthe heap property
6.3 Building a heap 156
6.4 The heapsort algorithm 159
6.5 Priority queues 162
154
Quicksort 170
7.1 Description of quicksort 170
7.2 Performance of quicksort 174
7.3 A randomized version of quicksort
7.4 Analysis of quicksort 180
Sorting in Linear Time 191
8.1 Lower bounds for sorting
8.2 Counting sort 194
8.3 Radix sort 197
8.4 Bucket sort 200
179
191Medians and Order Statistics 213
9.1 Minimum and maximum 214
9.2 Selection in expected linear time 215
9.3 Selection in worst-case linear time 220
III Data Structures
Introduction
10
11
?
229
Elementary Data Structures 232
10.1 Stacks and queues 232
10.2 Linked lists 236
10.3 Implementing pointers and objects
10.4 Representing rooted trees 246
Hash Tables 253
11.1Direct-address tables 254
11.2 Hash tables 256
11.3 Hash functions 262
11.4 Open addressing 269
11.5 Perfect hashing 277
241
Contents
12
?
13
14
vii
Binary Search Trees 286
12.1 What is a binary search tree? 286
12.2 Querying a binary search tree 289
12.3 Insertion and deletion 294
12.4 Randomly built binary search trees 299
Red-Black Trees 308
13.1 Properties of red-blacktrees
13.2 Rotations 312
13.3 Insertion 315
13.4 Deletion 323
308
Augmenting Data Structures 339
14.1 Dynamic order statistics 339
14.2 How to augment a data structure
14.3 Interval trees 348
345
IV Advanced Design and Analysis Techniques
Introduction
357
15
Dynamic Programming 359
15.1 Rod cutting 360
15.2 Matrix-chain multiplication 370
15.3 Elements of dynamic...
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