Free Ebook Art of Computer Programming, Volume 2: Seminumerical Algorithms (3rd Edition)
Free Ebook Art of Computer Programming, Volume 2: Seminumerical Algorithms (3rd Edition)
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Art of Computer Programming, Volume 2: Seminumerical Algorithms (3rd Edition)
Free Ebook Art of Computer Programming, Volume 2: Seminumerical Algorithms (3rd Edition)
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Amazon.com Review
Volume 2 of Donald Knuth's classic series The Art of Computer Programming covers seminumerical algorithms, with topics ranging from random number generators to floating point operations and other optimized arithmetic algorithms. Truly comprehensive and meticulously written, this book (and series) is that rarest of all creatures--a work of authoritative scholarship in classical computer science, but one that can be read and used profitably by virtually all working programmers. The book begins with fundamental questions regarding random numbers and how to use algorithms to generate them. Subsequent chapters demonstrate efficient computation of single-precision and double-precision arithmetic calculations and modular arithmetic. The text then presents prime factorization (which can be used in cryptography, for instance) and algorithms for calculating fractions. This volume ends with algorithms for polynomial arithmetic and manipulation of power-series topics, which will benefit those with some knowledge of calculus. Throughout this beautifully presented edition, Knuth incorporates hundreds of useful exercises for trying out the algorithms. These range from simple problems to larger research project topics. (The book provides answers, where appropriate, at the end of the book.) The result is a text that's suitable for college or graduate-level computer science courses or individual study by programmers. Volume 2 is an indispensable part of any working programmer's library.
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From the Back Cover
The bible of all fundamental algorithms and the work that taught many of today's software developers most of what they know about computer programming. —Byte, September 1995 I can't begin to tell you how many pleasurable hours of study and recreation they have afforded me! I have pored over them in cars, restaurants, at work, at home... and even at a Little League game when my son wasn't in the line-up. —Charles Long If you think you're a really good programmer... read [Knuth's] Art of Computer Programming... You should definitely send me a resume if you can read the whole thing. —Bill Gates It's always a pleasure when a problem is hard enough that you have to get the Knuths off the shelf. I find that merely opening one has a very useful terrorizing effect on computers. —Jonathan Laventhol The second volume offers a complete introduction to the field of seminumerical algorithms, with separate chapters on random numbers and arithmetic. The book summarizes the major paradigms and basic theory of such algorithms, thereby providing a comprehensive interface between computer programming and numerical analysis. Particularly noteworthy in this third edition is Knuth's new treatment of random number generators, and his discussion of calculations with formal power series.
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Product details
Hardcover: 784 pages
Publisher: Addison-Wesley Professional; 3 edition (November 14, 1997)
Language: English
ISBN-10: 0201896842
ISBN-13: 978-0201896848
Product Dimensions:
7 x 2.1 x 9.7 inches
Shipping Weight: 2.8 pounds (View shipping rates and policies)
Average Customer Review:
4.6 out of 5 stars
67 customer reviews
Amazon Best Sellers Rank:
#763,636 in Books (See Top 100 in Books)
This is more of a buyer beware review than anything else. I really can't give a good review on the book because I couldn't understand most of it. You really should have a 145 IQ(genius level) or higher if you intend on buying this book. I don't think Donald Knuth himself could help me understand this book. The more power to you if you can get through this book but the vast majority of people can't.
I needed a good reference on "buddy system" memory management, and this was the only one I could think of. There's lots more here, and I'm sure I'll come back to it over time.A lot of the material here will look basic to experienced practitioners. But even pros occasionally need to refresh memories, or stretch a bit beyond their usual areas. This belongs in every well-equipped library on computing.-- wiredweird
All three volumes of The Art of Computer Programming (TAOCP), are classic. Each is a book that every CS student should try to study diligently reimplementing example after example. Not many will succeed to finish even a half of one volume, but if you do please buy all three of them and think about post-graduate studies :-).I think the most important is to study the Vol 1. It gives enough exposition to the Donald Knuth style and brilliant thinking. While the content is definitely important it is the level of thinking of the author that represents the main value of the book: you instantly understand the book was written by a great scientist and it does not matter much that now the contents of most chapters can be significantly improved using more modern sources. After all Vol 1 is more then a 30 years old book (it is older then Unix) and as such it should be outdated (we all believe in progress, don't we)... And it is not surprising that parts of Vol 1 on of TAOCP today look completely out of touch with reality especially MIX, the CPU instruction set that is used in all volumes.Actually MIX instruction set (and thus assembler) was outdated even when the book was first published and more reflects unique Knuth's background with IBM 650. It was far from the state of hardware development even in late 60th when the first volume was published, the period when IBM/360 was the king of the hill.Now IBM 650, a 1,966 lb machine that consumed almost 30 Kw of electricity looks more like a primitive calculator than a real computer: typical installation has the memory of just 10,000 decimal digits ( 1,000 words; 10 digit per word).It's really sad that Knuth did not adopt System 360 architecture and PL/360 assembler (Wirth's structured assembler for S/360) for his books but we can do nothing about it. Still this is a book about timeless truths, not the book about the resent CS fashion like Java or you name it :-). It actually can serve as a perfect antidote against any current CS fashion.And Knuth does provide pseudocode with his natural language algorithm description. And natural language pseudocode has an important advantage over 'structured pseudocode. The problem with a "structured pseudocode" is that the set of control structures is fixed and may not reflect the needs of a particular algorithms (branching out of loop is a common problem that is not addressed by structured programming well). Moreover it can cripple the algorithm by enforcing unnatural control structures, the structures that are absent in it but might be present in more modern languages. For example Perl has an interesting set of control structures that is superior to C. But even "Perl control structures set" can be improved further.That's why assembler language is preferable: it never obscures "natural" control structures for each algorithms, structures that one day can be mapped into some new elegant language construct. Also as one review noted "sometimes high level languages with all their abstractions make things look more complex than they need be."I would like to stress it again that each volume is very difficult to read; you really need to work on each chapter by reimplementing the examples that Knuth gives in your favorite language (assembler might help but is not essential).Mathematical considerations as for average and worst running time of a particular algorithm can be largely ignored during the first couple of years of study of this book. Actually most mathematics in Vol. 1 can (and probably should) be initially completely ignored. See Softpanorama Classic Computer Books for more information.On the negative side this is an overpriced book, if we are talking about students budget. To save money you can buy one of the first editions: there is not that much difference in content to justify the differences in price. The differences do not interfere with the study of the book. Knuth did an excellent work the first time he published each volume and for a significant improvement we probably need another century and another person.
very readable. A classic as I remember from my grad school days @ Brooklyn Poly
Yes, it is risky to review an author such as Knuth. But, certain things must be said and it seems like I may be the only one to say them. First, Knuth's books, including this new addition are invaluable resources of wisdom. Their depth and tenacity are rarely found elsewhere in our industry. That being said, I believe Knuth has really missed a big mark in this new addition.My chief complaint of all of Knuth's "Art of" series is his incessant use of "MIX". MIX is Knuth's homebrew assembly language he uses to analyse the computer algorithms he describes. When Knuth first wrote the "Art of" series, assembly language was thankfully dying. 20 years later, no one but Knuth would even consider writing a book filled with such gibberish. There is no possible way at the end of the 1990s that this nonsense can be justified. Knuth has really missed the mark by insisting on having MIX in his books. What about C or C++, Pascal, BASIC, or even his own high-level psuedo-language? Here's the "God" of computer programming pushing this wretched gobbledygook on us. I can only attribute his horrid fascination with MIX to one of three things: Laziness (he doesn't want to rewrite his analysis - if this is true, then the new additions might need to be re-titled "The Art of Milking a Good Thing"), pride (he just can't give up his assembly language bastard-child he created), or ignorance. Either way, none of these are good justifications for why us plain mortals have to wade through this mine field of MIXed manure. Get with it Don! Come down to our level, be a little bit humble and give us a decent high-level language analysis of your favorite algorithms. MIX - R.I.P.
One of the fundamental treatises in computer science. Originally written forty years ago, long before the advent of personal computing, it is still the definitive work on the analysis of algorithms.
classic stuff
Good !
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