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 Handbook of Constraint Programming (Foundations of Artificial Intelligence)This encyclopedic work covers twenty-plus years of research in constraint programming in a readable, accessible and appealing way. For someone outside the field wondering what Constraint Programming is all about, this is the perfect introduction, and the book will remain useful as a reference for years.
Michael Trick, Professor of Operations... | | | | The MAPLE BookMaple is a very powerful computer algebra system used by students, educators, mathematicians, statisticians, scientists, and engineers for doing numerical and symbolic computations. Greatly expanded and updated from the author's MAPLE V Primer, The MAPLE Book offers extensive coverage of the latest version of this outstanding software package,... |
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Practical Ruby for System Administration (Expert's Voice in Open Source)Ruby has set the world on fire, proving itself a serious challenger to Perl and Python in all spheres. In particular, more and more people are discovering that Ruby's flexibility, superb feature set, and gentle learning curve make it a natural choice for system administration tasks, from the humblest server to the largest enterprise deployment.... | | Maple By Example, Third Edition"Overall, I found the book very nice to read and easy to follow. All major aspects of Maple that a novice to intermediate user would come across are covered."
- Laurent Bernard, Maplesoft, Inc.
"The book is eminently readable with a good narrative style and a good blend of didactic exposition followed by the relevant... | | Programming Collective Intelligence: Building Smart Web 2.0 Applications
Want to tap the power behind search rankings, product recommendations, social bookmarking, and online matchmaking? This fascinating book demonstrates how you can build Web 2.0 applications to mine the enormous amount of data created by people on the Internet. With the sophisticated algorithms in this book, you can write smart programs to... |
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| | Random Matrix Theory and Wireless CommunicationsRandom matrix theory has found many applications in physics, statistics and engineering since its inception. Although early developments were motivated by practical experimental problems, random matrices are now used in fields as diverse as Riemann hypothesis, stochastic differential equations, condensed matter physics, statistical physics, chaotic... | | |
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