Download Introduction to Algorithms By Thomas H. Cormen Charles E. Leiserson and Ronald L. Rivest – This book provides a comprehensive introduction to the modern study of computer algorithms. It presents many algorithms and covers them in considerable depth, yet makes their design and analysis accessible to all levels of readers. We have tried to keep explanations elementary without sacrificing depth of coverage or mathematical rigor.
Each chapter presents an algorithm, a design technique, an application area, or a related topic. Algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The book contains 244 figures—many with multiple parts—illustrating how the algorithms work. Since we emphasize efficiency as a design criterion, we include careful analyses of the running times of all our algorithms.
The text is intended primarily for use in undergraduate or graduate courses in algorithms or data structures. Because it discusses engineering issues in algorithm design, as well as mathematical aspects, it is equally well suited for self-study by technical professionals.
In this, the third edition, we have once again updated the entire book. The changes cover a broad spectrum, including new chapters, revised pseudocode, and a more active writing style.
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Contents
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Book Contents
PREFACE
CHAPTER 1: INTRODUCTION
PART I: Mathematical Foundations
CHAPTER 2: GROWTH OF FUNCTIONS
CHAPTER 3: SUMMATIONS
CHAPTER 4: RECURRENCES
CHAPTER 5: SETS, ETC.
CHAPTER 6: COUNTING AND PROBABILITY
PART II: Sorting and Order Statistics
CHAPTER 7: HEAPSORT
CHAPTER 8: QUICKSORT
CHAPTER 9: SORTING IN LINEAR TIME
CHAPTER 10: MEDIANS AND ORDER STATISTICS
PART III: Data Structures
CHAPTER 11: ELEMENTARY DATA STRUCTURES
CHAPTER 12: HASH TABLES
CHAPTER 13: BINARY SEARCH TREES
CHAPTER 14: RED-BLACK TREES
CHAPTER 15: AUGMENTING DATA STRUCTURES
PART IV: Advanced Design and Analysis Techniques
CHAPTER 16: DYNAMIC PROGRAMMING
CHAPTER 17: GREEDY ALGORITHMS
CHAPTER 18: AMORTIZED ANALYSIS
PART V: Advanced Data Structures
CHAPTER 19: B-TREES
CHAPTER 20: BINOMIAL HEAPS
CHAPTER 21: FIBONACCI HEAPS
CHAPTER 22: DATA STRUCTURES FOR DISJOINT SETS
PART VI: Graph Algorithms
CHAPTER 23: ELEMENTARY GRAPH ALGORITHMS
CHAPTER 24: MINIMUM SPANNING TREES
CHAPTER 25: SINGLE-SOURCE SHORTEST PATHS
CHAPTER 26: ALL-PAIRS SHORTEST PATHS
CHAPTER 27: MAXIMUM FLOW
PART VII: Selected Topics
CHAPTER 28: SORTING NETWORKS
CHAPTER 29: ARITHMETIC CIRCUITS
CHAPTER 30: ALGORITHMS FOR PARALLEL COMPUTERS
CHAPTER 31: MATRIX OPERATIONS
CHAPTER 32: POLYNOMIALS AND THE FFT
CHAPTER 33: NUMBER-THEORETIC ALGORITHMS
CHAPTER 34: STRING MATCHING
CHAPTER 35: COMPUTATIONAL GEOMETRY
CHAPTER 36: NPCOMPLETENESS
CHAPTER 37: APPROXIMATION ALGORITHMS
BIBLIOGRAPHY
About Author
Thomas H. Cormen is Professor of Computer Science and former Director of the Institute for Writing and Rhetoric at Dartmouth College. He is the coauthor (with Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein) of the leading textbook on computer algorithms, Introduction to Algorithms (third edition, MIT Press, 2009).
Charles E. Leiserson is Professor of Computer Science and Engineering at the Massachusetts Institute of Technology.
Ronald L. Rivest is Andrew and Erna Viterbi Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology.
Clifford Stein is Professor of Industrial Engineering and Operations Research at Columbia University.
Book Details
Introduction to Algorithms By Thomas H. Cormen Charles E. Leiserson and Ronald L. Rivest – Details
| Book Name | Introduction to Algorithms |
| Author Name | Thomas H. Cormen Charles E. Leiserson and Ronald L. Rivest |
| Language | English |
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