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Sto caricando le informazioni... Art of Computer Programming, Volume 2: Seminumerical Algorithms (3rd Edition) (originale 1969; edizione 1997)di Donald E. Knuth
Informazioni sull'operaThe Art of Computer Programming, Volume 2: Seminumerical Algorithms di Donald E. Knuth (1969)
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Risorse esterne che parlano di questo libro Wikipedia in inglese (14)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. Ebook (PDF version) produced by Mathematical Sciences Publishers (MSP), http://msp.org Non sono state trovate descrizioni di biblioteche |
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Google Books — Sto caricando le informazioni... GeneriSistema Decimale Melvil (DDC)005.1Information Computing and Information Computer programming, programs, data, security ProgrammingClassificazione LCVotoMedia:
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Mesteren selv fortæller hvordan man bør programmere. Heldigvis har folkene bag Mathematica, Maple og lignende programmer læst på lektien, så vi andre ikke behøver være helt så skarpe. ( )