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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: #157265 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
0 of 0 people found the following review helpful.
Great Book for CS Concepts
By Matt Withum
Love this book - even though it is fairly old (in Computer Science years) it is still relevant. It covers many of the CS concepts we take for granted today.
I will say - it is not for the layman. I think you would have to have a CS background, or at least a good math background to grasp many of the concepts.
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.
3 of 4 people found the following review helpful.
Little cohesion, random thoughts no real level (advanced or novice)
By Daylight Reviews
There are some interesting tidbits here, but you have to wade through a lot to get to them. Also, it is obvious the book is just a bunch of articles pasted together, and there is not rhyme nor reason as to their order. I found some interesting algorithms, but the writing itself and explanations are bland and at times quite confusing to me who has worked as a software developer in the IT industry for 20 years. Many of these also feel outdated. If it were cleaned up, updated and explanations made more clear then the book might be worth the money, until then, try Code by Charles Petzold, you'll get a lot more from that book.
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