<div><p>The second edition of this successful machine vision textbook is completely updated, revised and expanded by 15% to reflect the developments of recent years in the fields of image acquisition, machine vision algorithms and applications. The new content includes, but is not limited to, a disc
Algorithms and Complexity, 2nd edition
โ Scribed by Herbert S. Wilf
- Publisher
- A K Peters/CRC Press
- Year
- 2002
- Tongue
- English
- Leaves
- 228
- Edition
- 2nd
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
This book is an introductory textbook on the design and analysis of algorithms. The author uses a careful selection of a few topics to illustrate the tools for algorithm analysis. Recursive algorithms are illustrated by Quicksort, FFT, fast matrix multiplications, and others. Algorithms associated with the network flow problem are fundamental in many areas of graph connectivity, matching theory, etc. Algorithms in number theory are discussed with some applications to public key encryption. This second edition will differ from the present edition mainly in that solutions to most of the exercises will be included.
โฆ Table of Contents
Cover......Page 1
Title page......Page 2
Contents......Page 4
Preface......Page 6
Preface to the Second Edition......Page 8
0.1 Background......Page 10
0.2 Hard versus Easy Problems......Page 12
0.3 A Preview......Page 15
1.1 Orders of Magnitude......Page 18
1.2 Positional Number Systems......Page 28
1.3 Manipulations with Series......Page 32
1.4 Recurrence Relations......Page 36
1.5 Counting......Page 43
1.6 Graphs......Page 48
2.1 Introduction......Page 58
2.2 Quicksort......Page 60
2.3 Recursive Graph Algorithms......Page 70
2.4 Fast Matrix Multiplication......Page 85
2.5 The Discrete Fourier Transform......Page 89
2.6 Applications of the FFT......Page 100
2.7 A Review......Page 103
2.8 Bibliography......Page 107
3.1 Introduction......Page 108
3.2 Algorithms for the Network Flow Problem......Page 110
3.3 The Algorithm of Ford and Fulkerson......Page 111
3.4 The Max-Flow Min-Cut Theorem......Page 117
3.5 The Complexity of the Ford-Fulkerson Algorithm......Page 119
3.6 Layered Networks......Page 122
3.7 The MPM Algorithm......Page 128
3.8 Applications of Network Flow......Page 130
4.1 Preliminaries......Page 136
4.2 The Greatest Common Divisor......Page 139
4.3 The Extended Euclidean Algorithm......Page 143
4.4 Primality Testing......Page 147
4.5 Interlude: The Ring of Integers Modulo n......Page 150
4.6 Pseudoprimality Tests......Page 155
4.7 Proof of Goodness of the Strong Pseudoprimality Test......Page 159
4.8 Factoring and Cryptography......Page 163
4.9 Factoring Large Integers......Page 166
4.10 Proving Primality......Page 168
5.1 Introduction......Page 174
5.2 Turing Machines......Page 183
5.3 Cook's Theorem......Page 188
5.4 Some Other NP-Complete Problems......Page 195
5.5 Half a Loaf......Page 200
5.6 Backtracking (I): Independent Sets......Page 204
5.7 Backtracking (II): Graph Coloring......Page 208
5.8 Approximate Algorithms for Hard Problems......Page 212
Hints and Solutions for Selected Problems......Page 218
Index......Page 226
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