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There are freely available emulators for the There was no "magic" behind any of the examples.
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Language: after having spent time learning how to code in it and understanding how it worked, I'm actually glad that he presented everything in a made-up, "ideal" assembler The book using the popular high-level language of the time, all of the examples in the firstĮdition would have been in Fortran, then re-written in C for the second edition and again in Javaįor the third. Gets a little defensive about that decision in the preface, pointing out that if he had written Samples in assembler - and not just any assembler, a pretend one that he made up! Knuth
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It seems that a lot of the people whoĬomplain about this series of books complain specifically about his decision to present code In which all of the code samples in the remainder of the book are written. Starts by presenting a hypothetical computer architecture and associated assembler language Knuth had more to teach me than I ever would have imagined.Īfter about a hundred or so pages of pure math, he finally gets around to the computer programming part and
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There were plenty of topics in here that IĬonsidered myself familiar and proficient with, like number theory and binomial coefficients, but Learned a lot from the section as a whole. I got pretty lost in the chapter on generating functions, but I What he calls "higher math", which is usually calculus with a bit of linear algebra sprinkled in,īut always expertly applied. Hardest section of the book for me: Knuth considers a proof by induction, for example, a triviality,īut I personally still have to stop and think to produce one. Math is practical and eminently applicable to the field of computer science. I've since come around and accepted that math is useful - and I'm damned glad I did spendĪ year and a half learning calculus - Knuth manages in this book to underscore, over and over again, that Had to jump through some hoops to obtain it. The degree was a prize to be obtained, but you I didn't see it as practical, or useful, or applicable to my field of study, but instead as a weed-out program to see who was seriousĪbout proving their worthiness for this degree. At the time, I viewed advanced, college-level math as sort of a "dedication test": Undergraduate studying computer science, I dutifully took all the required math courses, including three Programmer by trade and by education, I've always had a tumultuous relationship with math. The first third or so of the book is pure math: specifically, discrete math. You're going through it, but triumphant when you reach the pinnacle.
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I've never climbed Mount Everest, but I imagine the whole ordeal feels similar: painful while He considers to be of average difficulty ended up stretching my comparatively tiny brain painfully. Into the 20-30 difficulty range, but Knuth's idea of "difficult" is subjective, and problems that Of the problems rated < 20 - it was hit and miss beyond that.
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Last theorem was listed as a 50, but since Andrew Wiles proved it, it's bumped down to a 45 in theĬurrent edition). Each problem is assigned a difficulty rating fromĠ-50 where 0 is trivial and 50 is "unsolved research problem" (in the first edition, Fermat's In some cases I failedĮven to accomplish that (don't judge me until you try it yourself). I settled for just understanding what the question was trying to ask for. I worked, or at least attempted to work, every single problem in the first volume. Almost all of them have answers included in the back of the book if you get stuck. Of sample exercises - in some cases, there are more pages of exercises than explanatory Sample exercises to help you solidify the concepts presented. These books are written college-textbook style: a few pages of exposition followed by some I finally got around to picking upĪ copy of the first three volumes of TAOCP little over a year ago, and I just finished the first volume, having averaged about 30 minutes a day of reading or working problems. "TCP/IP Illustrated" many years ago - when I consistently hear so many positive things aboutĪ book or a series of books, it makes it onto my to-read list. Reading computer programming books - I actually lost track of time reading Richard Steven's Series of books written by Donald Knuth titled "The Art of Computer Programming" (TAOCP). Want to feel stupid? Read Knuth! Want to get smarter? Read Knuth!įor a long time, I've seen other programmers write in awed, hushed tones about the multi-volume