The Art of Computer Programming, Volume 1: Fundamental Algorithms
0Authors : Donald Ervin Knuth
ISBN10 : 0201896834 ISBN13 : 9780201896831
Genres : Computer Science,Programming,Science,Technology,Nonfiction,Technical,Computers,Reference,Software
Language: English
Hardcover, 672 pages
Published July 7th 1997 by AddisonWesley
Description

, September 1995
Charles Long
Bill Gates
Jonathan Laventhol This first volume in the series begins with basic programming concepts and techniques, then focuses more particularly on information structuresthe representation of information inside ......more

, September 1995
Charles Long
Bill Gates
Jonathan Laventhol This first volume in the series begins with basic programming concepts and techniques, then focuses more particularly on information structuresthe representation of information inside a computer, the structural relationships between data elements and how to deal with them efficiently. Elementary applications are given to simulation, numerical methods, symbolic computing, software and system design. Dozens of simple and important algorithms and techniques have been added to those of the previous edition. The section on mathematical preliminaries has been extensively revised to match present trends in research.
Ebook (PDF version) produced by Mathematical Sciences Publishers (MSP), http: //msp.org(less)
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About the author(Donald Ervin Knuth)
Donald Ervin Knuth, born January 10th 1938, is a renowned computer scientist and Professor Emeritus of the Art of Computer Programming at Stanford University.
Author of the seminal multivolume work
("TAOCP"), Knuth has been called the "father" of the analysis of algorithms, ......more
Donald Ervin Knuth, born January 10th 1938, is a renowned computer scientist and Professor Emeritus of the Art of Computer Programming at Stanford University.
Author of the seminal multivolume work
("TAOCP"), Knuth has been called the "father" of the analysis of algorithms, contributing to the development of, and systematizing formal mathematical techniques for, the rigorous analysis of the computational complexity of algorithms, and in the process popularizing asymptotic notation.
In addition to fundamental contributions in several branches of theoretical computer science, Knuth is the creator of the TeX computer typesetting system, the related METAFONT font definition language and rendering system, and the C
Donald Ervin Knuth, born January 10th 1938, is a renowned computer scientist and Professor Emeritus of the Art of Computer Programming at Stanford University.
Author of the seminal multivolume work
("TAOCP"), Knuth has been called the "father" of the analysis of algorithms, contributing to the development of, and systematizing formal mathematical techniques for, the rigorous analysis of the computational complexity of algorithms, and in the process popularizing asymptotic notation.
In addition to fundamental contributions in several branches of theoretical computer science, Knuth is the creator of the TeX computer typesetting system, the related METAFONT font definition language and rendering system, and the Computer Modern family of typefaces.
A prolific writer and scholar, Knuth created the WEB/CWEB computer programming systems designed to encourage and facilitate literate programming, and designed the MMIX instruction set architecture. (less)
At first, I enjoyed this dense and scholarly volume. Knuth's dry humor is peppered throughout the book, but pops up most frequently in the first few chapters. It seemed at odds with the negative (and adoring) opinions I'd read about the book.
I was told (by Knuth in his introduction) that......more
At first, I enjoyed this dense and scholarly volume. Knuth's dry humor is peppered throughout the book, but pops up most frequently in the first few chapters. It seemed at odds with the negative (and adoring) opinions I'd read about the book.
I was told (by Knuth in his introduction) that I could skip as much of the math as I liked. So I dutifully skimmed through the math chapter and continued.
Then I hit MIX. It's the theoretical computer to which all of the program examples in the book will be written  in assembly language. It's interesting and clever and...awful.
Please understand that I have read Knuth's defenses for using assembly language to teach his algorithms. I understand them. And they make sense.
But now that I've slogged through this first volume, I can say with certainty that I hate MIX and I hate learning algorithms from MIX examples. "We hates it, we hates it, we hates it forever!" as Gollum would say.
Is it important to understand how a linked list works in memory? Absolutely. Does worrying about the housekeeping of a fictional computer designed in the 1960s aid in that understanding? Absolutely not.
Knuth admits that MIX is outdated and he's working on MMIX, which will be a much nicer RISC design. Certainly that would be an improvement. But I still feel a higherlevel language (or a formalydefined pseudocode) could show all of the lowerlevel concepts without the drudgery of assembly.
Let's move on from the assembly example issues and talk about the content of Volume One. For all of the words and symbols, very little ground is actually covered! By the end of Volume One, you'll only have learned about lists (stacks, queues, deques, etc.) and basic trees. Which is not to say those aren't fruitful structures ripe for thorough examination  certainly they are, and Knuth examines them thoroughly. It's just to say that the pace is utterly glacial.
In other words, and it pains me very much to say this, it's difficult to justify the time required to get through a book like this if you don't enjoy the MIX assembly puzzles or the higher math problems.
I appreciate this incredibly thorough and accurate work the way I appreciate models of large gothic structures created with toothpicks. But while the toothpick model can be enjoyed at a glance as a piece of visual art, The Art of Computer Programming can only be appreciated with careful study.
It's really quite difficult to put a star review on a single volume of a (some day) fivevolume set of astoundingly thorough scholarship. In some ways, I don't even feel worthy of reviewing the thing. In the end, all I can do is rate the enjoyment and/or personal value of the knowledge I gained from the book.
I'll be perfectly honest, the only "useful" (using an extremely loose interpretation of that word) thing I actually remember from Volume One is how to use a pair of stacks to efficiently simulate a FIFO queue. That's a pitiful statement considering the amount of time I put into reading the thing.
I own the threevolume set (published before Volume 4A came out). My understanding is that the books get more interesting later on. The titles do sound interesting. But I can't get past the fact that they're going to be chock full of more MIX examples and exercises in higher math. It's going to be a while before I work up the stamina to crack the next one open.(less)
oh, who am i kidding? i have never read this straight through, but i think i've covered a lot of it over the course of 8 years as an engineer. if i was stranded on a desert island with enough food and water to last the rest of my life, this series of books is what i would take with me. there are so ......more
oh, who am i kidding? i have never read this straight through, but i think i've covered a lot of it over the course of 8 years as an engineer. if i was stranded on a desert island with enough food and water to last the rest of my life, this series of books is what i would take with me. there are so many puzzles in these books that it could keep you occupied for a lifetime. i don't know how one man wrote these books.(less)
An excellent learning resource for anyone with an interest in computers or mathematics. Not exactly a light read, but it provides a great set of tools that can be applied to many situations. The problem sets were concise, interesting and a far better substitute to doing sudokus on the morning commut......more
An excellent learning resource for anyone with an interest in computers or mathematics. Not exactly a light read, but it provides a great set of tools that can be applied to many situations. The problem sets were concise, interesting and a far better substitute to doing sudokus on the morning commute.
I tried to work through all the problems rated 25 or less, while glancing at the more complex/time consuming ones, but I sometimes lacked the skills to complete a problem. I would like to revisit this book after reading a few of the suggested books in the bibliography.(less)
I really cant understand how one could write code without reading these books.
I really cant understand how one could write code without reading these books.(less)
This book outlines the design of computers and shows how many of the challenges of programming development have been addressed. It is a great and foundational computer science book. Today, understanding the operation of the processor is less critical and the way data structures are used has somewhat......more
This book outlines the design of computers and shows how many of the challenges of programming development have been addressed. It is a great and foundational computer science book. Today, understanding the operation of the processor is less critical and the way data structures are used has somewhat evolved. The math and assembly programs gave critical insight into practice and optimization at one time, however are less relevant now. Programmers who read it will still love this book.
It was a nice validation to find the logic I had used once in a short program in one of the examples.
It is striking how far the practice has come.(less)
Donald E. Knuth's The Art of Computer Programming provides a detailed textbook for classical Computer Science, starting with the foundational mathematics and working through (in this volume) data structures such as Linked Lists, Trees, and Graphs.
While authoritative and enjoyable to read......more
Donald E. Knuth's The Art of Computer Programming provides a detailed textbook for classical Computer Science, starting with the foundational mathematics and working through (in this volume) data structures such as Linked Lists, Trees, and Graphs.
While authoritative and enjoyable to read, I personally felt unprepared (even with advance warning) for the sheer volume of mathematics in Chapter 1, and spent the first 120 pages reeling from notations that I hadn't read before. After the "Introductory Mathematics", the book returned to more familiar ground detailing out algorithms, and (less important to the modern reader) how they might be implemented in a prototypal assembly language.
I skipped over several types of content this book provided, firstly, the assembly implementations (because the lowest language I work in happens to be C, still a level up from Assembly), secondly, the exercises (which would have taken me until early next year, judging by the sheer amount), and thirdly, the parts of Knuth's proofs that made my eyes bleed.
Overall, Knuth's writing voice is authoritative, friendly, and at times humorous. It's rare to find a Computer Science professor as enjoyable to read. Unfortunately, most notable algorithms covered in the book are also covered in other Computer Science manuals that you've probably read if you're readying yourself to joust this particular windmill. I'd recommend Volume 1. It certainly didn't scare me away from Volume 2.(less)
This book is so deep that literally no one can read it and understand and keep that knowledge. Most people out here concede to not have read the whole thing. It's just too much.
It has become more of a status symbol amongst the intellectuals to show off that they "have read TOACP". But re......more
This book is so deep that literally no one can read it and understand and keep that knowledge. Most people out here concede to not have read the whole thing. It's just too much.
It has become more of a status symbol amongst the intellectuals to show off that they "have read TOACP". But really this book is just an antique encyclopedia with extreme details. Yeah Bill Gates praised it, but Mr. Gates doesn't code any more.
For anyone graduating in the post pandemic world. This book is probably NOT for you, unless you are post doc researching algorithms or your job requires theoretical proofs of algorithms or low level coding. You can't do any good to your skillset by reading this book.
It's better to learn algorithms and data structures from other milder books which use pseudo code and extrapolate use cases into the real world.
If you are an engineer and want to be better at algorithms, just practice it on codeforces/leetcode because you would learn more that way than reading mathematical theory and MIX code.
This is not a book to be read, it's a book to be kept. Just in case you feel too chilled out at your software job. It will remind you to be humble.(less)
This book was somewhat of a mixed blessing. I really enjoyed the mathematical exactness and thoroughness. However, I did not at all like the decision to have the sample code in a madeup assembly language. That made the programs utterly unreadable. Maybe I'm just not HC geek enough, but IMO when the......more
This book was somewhat of a mixed blessing. I really enjoyed the mathematical exactness and thoroughness. However, I did not at all like the decision to have the sample code in a madeup assembly language. That made the programs utterly unreadable. Maybe I'm just not HC geek enough, but IMO when the point is to present algorithms, the sample code should be clear and easy to read. Using a higher level language would have been more appropriate.
Also, it would have been nice to have had flow graphs of all the presented algorithms instead of just a few of them.
I also have to admit that this book was such heavy reading that at the end I began to read more marginally and skip some paragraphs, getting just an overview of certain subjects.(less)
Still great, but in dire need of a 4th edition update; new readers should strongly consider getting the MMIX supplements.
...more
Flipped through the math section, but read the rest of the book page by page. Well, except for the proofs and exercises (only did a handful of them mentally).
Still great, but in dire need of a 4th edition update; new readers should strongly consider getting the MMIX supplements.
Flipped through the math section, but read the rest of the book page by page. Well, except for the proofs and exercises (only did a handful of them mentally).
Picked up the books again with the aim to read volume 4 and its fascicles. We'll see.(less)
Obviously a classic but a really hard read due to everything being written in MIX  would much prefer pseudocode.
Obviously a classic but a really hard read due to everything being written in MIX  would much prefer pseudocode.(less)