Highly effective thinking is an art that engineers and scientists can be taught to develop. By presenting actual experiences and analyzing them as they are described, the author conveys the developmental thought processes employed and shows a style of thinking that leads to successful results is something that can be learned. Along with spectacular successes, the author also conveys how failures contributed to shaping the thought processes. Provides the reader with a style of thinking that will enhance a person's ability to function as a problem-solver of complex technical issues. Consists of a collection of stories about the author's participation in significant discoveries, relating how those discoveries came about and, most importantly, provides analysis about the thought processes and reasoning that took place as the author and his associates progressed through engineering problems.
Author(s): Richard R. Hamming
Edition: 1
Publisher: GORDON AND BREACH SCIENCE PUBLISHERS
Year: 1997/2005
Language: English
Pages: 227
Tags: Математика;Популярная математика;
Book Cover......Page 1
Half-Title......Page 2
Title......Page 3
Copyright......Page 4
Contents......Page 5
Preface......Page 7
Introduction......Page 9
1 Orientation......Page 10
2 Foundations of the Digital (Discrete)......Page 18
3 History of Computers— Harware......Page 26
4 History of Computers— Software......Page 33
5 History of Computer Application......Page 42
6 Artificial Intelligence—I......Page 49
7 Artificial Intelligence—II......Page 56
8 Artificial Intelligenc—III......Page 64
9 n-Dimensional space......Page 66
10 Coding Theory—I......Page 76
11 Coding Theory—II......Page 83
12 Error Correcting Codes......Page 90
13 Information Theory......Page 98
14 Digital Filters—I......Page 106
15 Digital Filters— II......Page 116
16 Digital Filters—III......Page 124
17 Digital Filters—IV......Page 132
18 Simulation—I......Page 137
19 Simulation—II......Page 144
20 Simulation—III......Page 150
21 Fiber Optics......Page 160
22 Computer Aided Instruction—CAI......Page 166
23 Mathematics......Page 172
24 Quantum Mechanics......Page 180
25 Creativity......Page 185
26 Experts......Page 190
27 Unreliable Data......Page 196
28 Systems Engineering......Page 204
29 You Get What You Measure......Page 211
30 You and Your Research......Page 218
Index......Page 225
