Ebook The New Turing Omnibus: Sixty-Six Excursions in Computer Science, by A. K. Dewdney
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The New Turing Omnibus: Sixty-Six Excursions in Computer Science, by A. K. Dewdney
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No other volume provides as broad, as thorough, or as accessible an introduction to the realm of computer science as A. K. Dewdney's The Turing Omnibus.
For everyone from the curious beginner to the working professional, The New Turing Omnibus offers 66 concise, brilliantly written mathematically oriented articles on the major points of interest in computer science theory, technology, and applications. Foundational for this tour: information on algorithms, detecting primes, noncomputable functions, and self-replicating computers--plus fundamental sections on the Mandelbrot set, genetic algorithms, the Newton-Raphson Method, neural networks that learn, DOS systems for personal computers, and computer viruses.
- Sales Rank: #236640 in Books
- Published on: 1993-07-15
- Released on: 1993-07-15
- Original language: English
- Number of items: 1
- Dimensions: 9.34" h x 1.04" w x 6.52" l, 1.56 pounds
- Binding: Paperback
- 480 pages
Review
“Wonderfully concise discussions . . . full of wit . . . It is nearly the perfect book for the noncomputer scientists who want to learn something about the field.” ―Nature
“Recommended as a general topics source for anyone interested in computer science. Dewdney's use of unusual and practical examples and illustrations to explain the material makes his very readable prose even better.” ―Choice
“A useful book of worthwhile diversions.” ―Computer Books Review
About the Author
A. K. Dewdney teaches computer science at the University of Western Ontario.
Most helpful customer reviews
17 of 20 people found the following review helpful.
From 6 to 666 hours to understand
By Gary Sprandel
What you get out of the book depends upon how much you want to put into in. A reader of this book, could decide to just understand the general ideas, follow the detailed mathematics, or perhaps program on a computer (for example sorting routines, hashing and the like). Each of the excursions is well covered, sometimes witty, but at times I got bogged-down in the symbols. The chapter on "analog computation" coming in the middle of a book was a welcome relief presenting ideas of sorting, shortest path and minimum trees using spaghetti and strings without mathematics (and would be a good chapter to give to non-computer science friends if they ever make the mistake of asking you what sort of problems you think about). The chapter on neural networks, I thought was also clear. There are also some of the classic computer science problems presented such as the Tower of Hanoi, or "A man ponders how to ferry a wolf, a goat, and a cabbage across of river".
The 66 excursions cover a lot of ground, but often return to Turing machines, finite-state machines, and NP-completeness problems. I might have enjoyed more on algorithm analysis, computer languages, and game analysis. Additionally there are new topics since this 1992 publication, such as quantum computing, Bioinformatics, Internet related topics on virus and encrypting, and a raft of social questions including privacy. I hope the "Turing omnibus" refuels for another update.
12 of 14 people found the following review helpful.
Good overview of the basic ideas
By Amazon Customer
The New Turing Omnibus is a gentle pass over many of the abstract concepts of computer science. It focuses on concepts, so if you want to learn to program in a given language, or if you want to master your Windows or Linux OS, look elsewhere. However, it does review all of the theoretical matters, from automata to logic maps, algorithmic analysis and beyond. It is a great read for a budding Computer Scientist, Electrical Engineer or Mathematician. Ideal readers would be younger students in Math or CompSci who want a gentle introduction to the real underlying concepts that govern all of Computer Science. Definatly a must for all CompSci book shelves.
19 of 20 people found the following review helpful.
This is an excellent overview of topics in Computer Science.
By Alex Mikhail
This book provides an excellent overview (or review) of theoretical Computer Science. If there are any of you who think that the high end of computer science is another form of mathematics, then this book is for you. If you think that computer science is just programming then maybe you should take a look at this book as well. After reading this book you will have a good overview of the "science" of computer science. I find too often that most of the undergraduate books in computer science tend to focus on the software engineering side of the field. When you finish this book, you will have been exposed to everything from genetic algorithms to Godel's theorem. The book covers advanced topics such as natural language thoery, but still introduces them on an introductory level. This book is still a little tough for those who have only studied programming. However, any computer scince major (or someone with the equivelent exposure to CS) would find this book to be an excellent reference and review of the things he (or she) would have missed or forgotten in their studies. Incidently, the book presents problems (no solutions, what's new) and refrences at the end of each chapter for further study.
The bottom line is this: This book is the closest thing to a hybrid textbook/encylcopedia of computer science. It covers almost every imaginable topic in computer science and should be on every CS major's bookshelf.
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