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Kurzbeschreibung
Hands-on practice. Hands-off grading. MyFinanceLab is a fully integrated homework and tutorial system that solves one of the biggest teaching problems in finance courses: the best way to learn finance is by doing problems, but instructors may not have time to grade complex, multi-step problems. With algorithmically generated exercises that mirror the end-of-chapter problems, partial-credit grading, and an easy-to-use online gradebook, MyFinanceLab revolutionizes homework and practice. For more information, visit MyFinanceLab. BOOKS AVAILABLE with MyFinanceLab: Personal Finance * Keown, Personal Finance 5e * Madura, Personal Finance 4e Undergraduate Corporate Finance * Keown/Martin/Petty, Foundations of Finance 7e * Brooks, Financial Management 1e * Berk/DeMarzo/Harford Fundamentals of Corporate Finance 2e * Gitman, Principles of Managerial Finance Brief 5e * Gitman, Principles of Managerial Finance Brief 6e 4/15/11 . Gitman, Principles of Managerial Finance 13e. 3/15/11 . Titman, Financial Management Graduate/MBA Corporate Finance * Berk/DeMarzo, Corporate Finance 2e * Berk/DeMarzo, Corporate Finance: The Core 2e Undergraduate Investments * Gitman, Fundamentals of Investing 11e
Synopsis
This multivolume work on the analysis of algorithms has long been recognized as the definitive description of classical computer science. The three complete volumes published to date already comprise a unique and invaluable resource in programming theory and practice. Countless readers have spoken about the profound personal influence of Knuth's writings. Scientists have marveled at the beauty and elegance of his analysis, while practicing programmers have successfully applied his "cookbook" solutions to their day-to-day problems. All have admired Knuth for the breadth, clarity, accuracy, and good humor found in his books. To begin the fourth and later volumes of the set, and to update parts of the existing three, Knuth has created a series of small books called fascicles, which will be published at regular intervals. Each fascicle will encompass a section or more of wholly new or revised material. Ultimately, the content of these fascicles will be rolled up into the comprehensive, final versions of each volume, and the enormous undertaking that began in 1962 will be complete.Volume 4, Fascicle 0 This fascicle introduces what will become by far the longest chapter in The Art of Computer Programming, a chapter on combinatorial algorithms that will itself fill three full-sized volumes.Combinatorial algorithms, informally, are techniques for the high-speed manipulation of extremely large quantities of objects, such as permutations or the elements of graphs. Combinatorial patterns or arrangements solve vast numbers of practical problems, and modern approaches to dealing with them often lead to methods that are more than a thousand times faster than the straightforward procedures of yesteryear. This fascicle primes the pump for everything that follows in the chapter, discussing first the essential ideas of combinatorics and then introducing fundamental ideas for dealing efficiently with 0s and 1s inside a machine, including Boolean basics and Boolean function evaluation. As always, the author's exposition is enhanced by hundreds of new exercises, arranged carefully for self-instruction, together with detailed answers.
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6 von 6 Kunden fanden die folgende Rezension hilfreich
A fresh introduction to combinatorial thinking
3. Mai 2008
Format:Taschenbuch|Von Amazon bestätigter Kauf
For those interested in combinatorial thinking, ranging from combinatorial card game puzzles to how to count the number of ways to do something, this is a great re-introduction. In this first part of the long-awaited Volume 4, Knuth tells you why he loves combinatorics and computer algorithms, and why it took him so long to publish volume 4.
Hearing it from Knuth, the fascicle basically reassured me in my personal dance with mathematics and algorithmics: there is no problem if you love these things!
I highly recommended this to few friends who were computer science students, and they really liked it. They could not stop reading it during a party at our home!
Disclaimer: This review is based on the preview version that was made available on Knuth's home page. I believe not much is changed, except that some errors should be corrected.
Hearing it from Knuth, the fascicle basically reassured me in my personal dance with mathematics and algorithmics: there is no problem if you love these things!
I highly recommended this to few friends who were computer science students, and they really liked it. They could not stop reading it during a party at our home!
Disclaimer: This review is based on the preview version that was made available on Knuth's home page. I believe not much is changed, except that some errors should be corrected.
4 von 4 Kunden fanden die folgende Rezension hilfreich
the richness of Boolean functions
17. Mai 2008
Format:Taschenbuch
Nobody should read this book lightly. It continues the decades-long practice of Knuth's series, by furnishing a huge set of exercises in the computational field. Yet ones where the emphasis is not on writing computer programs, though he does have some problems where you are asked to do this. Instead, you have to nut out puzzles in what you might term applied number theory. A key trait of the book, and of the entire series, is that the reduction of an algorithm to source code is a relatively minor aspect.
The book differs from the first 3 volumes in the surfeit of problems. Perhaps in part because decades have elapsed since those volumes came out. During which, Knuth accrued ever more problems that he now gives us.
The focus of this book on Boolean functions can be an eye opener to some readers. You might think, naively, how difficult could the theory of Boolean functions be? Knuth shows that there is a vast level of complexity and conceptual richness lurking in such apparently simple functions. The typical computer science text that mentions Boolean functions might devote some space to examples of these. But it rarely goes deeper than explaining how to optimise, say, ORs of ANDs, where this is used for in turn optimising circuit layouts on a chip. Knuth goes way beyond this.
Granted, those are introductory CS texts, and this is not. But the average computer programmer or chip designer rarely goes beyond those in mathematical depth. And so is unlikely to have seen the material in this book.
The book differs from the first 3 volumes in the surfeit of problems. Perhaps in part because decades have elapsed since those volumes came out. During which, Knuth accrued ever more problems that he now gives us.
The focus of this book on Boolean functions can be an eye opener to some readers. You might think, naively, how difficult could the theory of Boolean functions be? Knuth shows that there is a vast level of complexity and conceptual richness lurking in such apparently simple functions. The typical computer science text that mentions Boolean functions might devote some space to examples of these. But it rarely goes deeper than explaining how to optimise, say, ORs of ANDs, where this is used for in turn optimising circuit layouts on a chip. Knuth goes way beyond this.
Granted, those are introductory CS texts, and this is not. But the average computer programmer or chip designer rarely goes beyond those in mathematical depth. And so is unlikely to have seen the material in this book.
1 von 1 Kunden fanden die folgende Rezension hilfreich
TAOCP: Volume 4 - Fascicle 0
23. Juni 2008
Format:Taschenbuch|Von Amazon bestätigter Kauf
I bought this book after a class I had in "Boolean Functions" and I must admit that the content was superb. Many interesting subjects about boolean functions, an extensive range of problems with solutions, and certainly a great deal of "food for thought" for further applications or research. All in all, a highly recommended book, and I am only wondering why volume 4 is not published in its final version (assuming that the rest of fascicles are in the same form). If you are interested in the field, just buy it.
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