The Art of Computer Programming, Vol. 1: Fundamental Algorithms, 2nd Edition [Import] [Hardcover]

Donald E. Knuth (Author)

Product Details

• Hardcover: 634 pages
• Publisher: Addison-Wesley; Later Printing edition (1973)
• Language: English
• ISBN-10: 0201038099
• ISBN-13: 978-0201038095
• Product Dimensions: 9.3 x 6.5 x 1.6 inches
• Shipping Weight: 2.3 pounds
• Average Customer Review: 4.3 out of 5 stars  See all reviews (46 customer reviews)
• Amazon Best Sellers Rank: #1,370,295 in Books (See Top 100 in Books)

More About the Author

Donald E. Knuth was born on January 10, 1938 in Milwaukee, Wisconsin. He studied mathematics as an undergraduate at Case Institute of Technology, where he also wrote software at the Computing Center. The Case faculty took the unprecedented step of awarding him a Master's degree together with the B.S. he received in 1960. After graduate studies at California Institute of Technology, he received a Ph.D. in Mathematics in 1963 and then remained on the mathematics faculty. Throughout this period he continued to be involved with software development, serving as consultant to Burroughs Corporation from 1960-1968 and as editor of Programming Languages for ACM publications from 1964-1967.

He joined Stanford University as Professor of Computer Science in 1968, and was appointed to Stanford's first endowed chair in computer science nine years later. As a university professor he introduced a variety of new courses into the curriculum, notably Data Structures and Concrete Mathematics. In 1993 he became Professor Emeritus of The Art of Computer Programming. He has supervised the dissertations of 28 students.

Knuth began in 1962 to prepare textbooks about programming techniques, and this work evolved into a projected seven-volume series entitled The Art of Computer Programming. Volumes 1-3 first appeared in 1968, 1969, and 1973. Having revised these three in 1997, he is now working full time on the remaining volumes. Volume 4A appeared at the beginning of 2011. More than one million copies have already been printed, including translations into ten languages.

He took ten years off from that project to work on digital typography, developing the TeX system for document preparation and the METAFONT system for alphabet design. Noteworthy by-products of those activities were the WEB and CWEB languages for structured documentation, and the accompanying methodology of Literate Programming. TeX is now used to produce most of the world's scientific literature in physics and mathematics.

His research papers have been instrumental in establishing several subareas of computer science and software engineering: LR(k) parsing; attribute grammars; the Knuth-Bendix algorithm for axiomatic reasoning; empirical studies of user programs and profiles; analysis of algorithms. In general, his works have been directed towards the search for a proper balance between theory and practice.

Professor Knuth received the ACM Turing Award in 1974 and became a Fellow of the British Computer Society in 1980, an Honorary Member of the IEEE in 1982. He is a member of the American Academy of Arts and Sciences, the National Academy of Sciences, and the National Academy of Engineering; he is also a foreign associate of l'Academie des Sciences (Paris), Det Norske Videnskaps-Akademi (Oslo), Bayerische Akademie der Wissenschaften (Munich), the Royal Society (London), and Rossiiskaya Akademia Nauk (Moscow). He holds five patents and has published approximately 160 papers in addition to his 28 books. He received the Medal of Science from President Carter in 1979, the American Mathematical Society's Steele Prize for expository writing in 1986, the New York Academy of Sciences Award in 1987, the J.D. Warnier Prize for software methodology in 1989, the Adelskøld Medal from the Swedish Academy of Sciences in 1994, the Harvey Prize from the Technion in 1995, and the Kyoto Prize for advanced technology in 1996. He was a charter recipient of the IEEE Computer Pioneer Award in 1982, after having received the IEEE Computer Society's W. Wallace McDowell Award in 1980; he received the IEEE's John von Neumann Medal in 1995. He holds honorary doctorates from Oxford University, the University of Paris, St. Petersburg University, and more than a dozen colleges and universities in America.

Professor Knuth lives on the Stanford campus with his wife, Jill. They have two children, John and Jennifer. Music is his main avocation.

Customer Reviews

Most Helpful Customer Reviews

34 of 34 people found the following review helpful:

5.0 out of 5 stars Excellent update of a timeless classic - *Required Reading*, November 10, 1997

By 

[e-mail] (Kirk Hays) (Portland, Oregon, USA) - See all my reviews

This review is from: Art of Computer Programming, Volume 1: Fundamental Algorithms (3rd Edition) (Hardcover)

Anyone who aspires to be a transcendent programmer must own (and use) Knuth. I've used my 20 year old TAOCP vol. 1 so many times over the years that it lays flat at any page.

The updated volume 1 is more of the same - a classic revisited, revamped, restored. It is odd to handle something so familiar, yet so crisp.

Those who dislike MIX will be unimpressed - to them, I say that you don't learn by doing the same vanilla thing time and again, but rather by wrestling with unfamiliar concepts and architectures. Many times my fellow programmers will find themselves roadblocked in an unfamiliar situation, while I often can see the unobvious solution - I attribute this ability to a wide experience with unconventional solutions, including extensive study of Knuth's TAOCP.

If you're serious about your programming abilities, you *must* own (and study) this book! Frankly, if computer science were taught as an apprenticeship, this would be the journeyman's manual. I've required the many programmers I've trained over the years to own and study TAOCP, and they've all come to appreciate it's layered approach to problems - you can read Knuth at many levels, from algorithm reference to meta-analysis of an entire class of problems.

If there is a Koran, Bible, or Tao of Computer Science, this is it. The only thing close is Aho's "Dragon Book," and it's specific to compilers.

28 of 28 people found the following review helpful:

5.0 out of 5 stars Extremely helpful to a NOVICE PROGRAMMER, January 1, 1999

By A Customer

This review is from: Art of Computer Programming, Volume 1: Fundamental Algorithms (3rd Edition) (Hardcover)

When I read Knuth #1, I was an English Major with a certificate in COBOL programming. Alot of what he said made no sense; after struggling for 3 weeks I began to understand. I used Knuth to learn QA, testing techniques, structured analysis; Knuth was my Harvard & Yale of programming knowledge.

I read the poor reviews of Knuth here & I think: THEY must be lazy, really lazy. If you want to work hard & have NO Background in CS other than a programming language you really know YOU can master this book. Yeah the math & true CS graduate can read this easier than me, but can they owe a lifetime of programming methodology to it?

I owe everything to Knuth; I love the man.

25 of 26 people found the following review helpful:

5.0 out of 5 stars Excellent book for learning fundamental algorithms well., August 15, 1999

By 

Noah Stein ([e-mail]) (Connecticut, USA) - See all my reviews

This review is from: Art of Computer Programming, Volume 1: Fundamental Algorithms (3rd Edition) (Hardcover)

I read this book when I was a sophomore in high school and I thought it was excellent. Prior to reading the book, I had wanted for a long time to write a program to evaluate standard mathematical expressions. I had even tried once before, but I didn't know enough about what I was doing to be really successful. Somewhere in the second chapter in a discussion of lists, doubly-linked-lists, and binary trees, a good solution came to me, and I implemented it right after I finished reading the book. It worked very well. This book helped me to accomplish the major goal-project of my computer programming career so far, and I definately think it is worth reading for anyone wanting a really advanced understanding of fundamental algorithms. Now I know to many advanced means total [over]use of fully encapsulated C++ objects, which this book doesn't have, but this book gives an advanced understanding, which is infinitely more valuable than classes. If you understand OOP and you understand this book, you should be able to combine the two just fine. Lastly, I'd like to comment on the use of MIX. I read almost none of the MIX assembly code when I read this book. The little I looked at I looked at because I wanted to see what assembly was like in the 60's. But you can understand everything he's trying to say by his explanations of the algorithms, the assembly code is only for clarification, and you don't have to read it. I also believe that everyone who's been using fully encapsulated classes for their entire programming career should learn an assembly language sometime. Just like this book, it will teach you how to think.