
Introduction to Algorithms, fourth edition
MIT Press
4th Edition
Published on 5. April 2022
Book
Hardback
1332 pages
978-0-262-04630-5 (ISBN)
Description
A comprehensive update of the leading algorithms text, with new material on matchings in bipartite graphs, online algorithms, machine learning, and other topics.
Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. It covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers, with self-contained chapters and algorithms in pseudocode. Since the publication of the first edition, Introduction to Algorithms has become the leading algorithms text in universities worldwide as well as the standard reference for professionals. This fourth edition has been updated throughout.
New for the fourth edition
Warning: Avoid counterfeit copies of Introduction to Algorithms by buying only from reputable retailers. Counterfeit and pirated copies are incomplete and contain errors.
Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. It covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers, with self-contained chapters and algorithms in pseudocode. Since the publication of the first edition, Introduction to Algorithms has become the leading algorithms text in universities worldwide as well as the standard reference for professionals. This fourth edition has been updated throughout.
New for the fourth edition
- New chapters on matchings in bipartite graphs, online algorithms, and machine learning
- New material on topics including solving recurrence equations, hash tables, potential functions, and suffix arrays
- 140 new exercises and 22 new problems
- Reader feedback–informed improvements to old problems
- Clearer, more personal, and gender-neutral writing style
- Color added to improve visual presentation
- Notes, bibliography, and index updated to reflect developments in the field
- Website with new supplementary material
Warning: Avoid counterfeit copies of Introduction to Algorithms by buying only from reputable retailers. Counterfeit and pirated copies are incomplete and contain errors.
More details
Edition
4th edition
Language
English
Place of publication
Cambridge (Massachusetts)
United States
Publishing group
MIT Press Ltd
Illustrations
231 color illustrations
Dimensions
Height: 212 mm
Width: 231 mm
Thickness: 58 mm
Weight
2644 gr
ISBN-13
978-0-262-04630-5 (9780262046305)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Thomas H. Cormen | Charles E. Leiserson | Ronald L. Rivest
Introduction to Algorithms, fourth edition
E-Book
04/2022
MIT Press
€147.99
Available for download
Persons
Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein
Content
Preface xiii
I Foundations
Introduction 3
1 The Role of Algorithms in Computing 5
2 Getting Started 17
3 Characterizing Running Times 49
4 Divide-and-Conquer 76
5 Probabilistic Analysis and Randomized Algorithms 126
II Sorting and Order Statistics
Introduction 157
6 Heapsort 161
7 Quicksort 182
8 Sorting in Linear Time 205
9 Medians and Order Statistics 227
III Data Structures
Introduction 249
10 Elementary Data Structures 252
11 Hash Tables 272
12 Binary Search Trees 312
12 Red-Black Trees 331
IV Advanced Design and Analysis Techniques
Introduction 361
14 Dynamic Programming 362
15 Greedy Algorithms 417
16 Amortized Analysis 448
V Advanced Data Structures
Introduction 477
17 Augmenting Data Structures 480
18 B-Trees 497
19 Data Structures for Disjoint Sets 520
VI Graph Algorithms
Introduction 547
20 Elementary Graph Algorithms 549
21 Minimum Spanning Trees 585
22 Single-Source Shortest Paths 604
23 All-Pairs Shortest Paths 646
24 Maximum Flow 670
25 Matchings in Bipartite Graphs 704
VII Selected Topics
Introduction 745
26 Parallel Algorithms 748
27 Online Algorithms 791
28 Matrix Operations 819
29 Linear Programming 850
30 Polynomials and the FFT 877
31 Number-Theoretic Algorithms 903
32 String Matching 957
33 Machine-Learning Algorithms 1003
34 NP-Completeness 1042
35 Approximation Algorithms 1104
VIII Appendix: Mathematical Background
Introduction 1139
A Summations 1140
B Sets, Etc. 1153
C Counting and Probability 1178
D Matrices 1214
Bibliography 1227
Index 1251
I Foundations
Introduction 3
1 The Role of Algorithms in Computing 5
2 Getting Started 17
3 Characterizing Running Times 49
4 Divide-and-Conquer 76
5 Probabilistic Analysis and Randomized Algorithms 126
II Sorting and Order Statistics
Introduction 157
6 Heapsort 161
7 Quicksort 182
8 Sorting in Linear Time 205
9 Medians and Order Statistics 227
III Data Structures
Introduction 249
10 Elementary Data Structures 252
11 Hash Tables 272
12 Binary Search Trees 312
12 Red-Black Trees 331
IV Advanced Design and Analysis Techniques
Introduction 361
14 Dynamic Programming 362
15 Greedy Algorithms 417
16 Amortized Analysis 448
V Advanced Data Structures
Introduction 477
17 Augmenting Data Structures 480
18 B-Trees 497
19 Data Structures for Disjoint Sets 520
VI Graph Algorithms
Introduction 547
20 Elementary Graph Algorithms 549
21 Minimum Spanning Trees 585
22 Single-Source Shortest Paths 604
23 All-Pairs Shortest Paths 646
24 Maximum Flow 670
25 Matchings in Bipartite Graphs 704
VII Selected Topics
Introduction 745
26 Parallel Algorithms 748
27 Online Algorithms 791
28 Matrix Operations 819
29 Linear Programming 850
30 Polynomials and the FFT 877
31 Number-Theoretic Algorithms 903
32 String Matching 957
33 Machine-Learning Algorithms 1003
34 NP-Completeness 1042
35 Approximation Algorithms 1104
VIII Appendix: Mathematical Background
Introduction 1139
A Summations 1140
B Sets, Etc. 1153
C Counting and Probability 1178
D Matrices 1214
Bibliography 1227
Index 1251