Showing results for "jeff edmonds"
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2008
EN
This textbook, for second- or third-year students of computer science, presents insights, notations, and analogies to help them describe and think about algorithms like an expert, without grinding through lots of formal proof. Solutions to many problems are provided to let students check their progress, while class-tested PowerPoint slides are on the web for anyone running the course. By looking at both the big picture and easy step-by-step methods for developing algorithms, the author gui...
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2011
EN
The leading introduction to computer algorithms in use today, including fifty algorithms every programmer should knowPrinceton Computer Science professors, Robert Sedgewick and Kevin Wayne, survey the most important computer algorithms in use and of interest to anyone working in science, mathematics, and engineering, and those who use computation in the liberal arts. They provide a full treatment of data structures and algorithms for key areas that enable you to co...
Computer Organization and Design
The Hardware/Software Interface
2011
EN
Computer Organization and Design, Fourth Edition, has been updated with new exercises and improvements throughout suggested by instructors teaching from the book. It covers the revolutionary change from sequential to parallel computing, with a chapter on parallelism and sections in every chapter highlighting parallel hardware and software topics. It includes an appendix by the Chief Scientist and the Director of Architecture of NVIDIA covering the emergence and importance of the modern GPU...
2012
EN
"This is the first book that promises to tell the deep, dark secrets of computer arithmetic, and it delivers in spades. It contains every trick I knew plus many, many more. A godsend for library developers, compiler writers, and lovers of elegant hacks, it deserves a spot on your shelf right next to Knuth."--Josh Bloch (Praise for the first edition)In Hacker’s Delight, Second Edition, Hank Warren once again compiles an irresistible collect...
Structured Parallel Programming
Patterns for Efficient Computation
2012
EN
Structured Parallel Programming offers the simplest way for developers to learn patterns for high-performance parallel programming. Written by parallel computing experts and industry insiders Michael McCool, Arch Robison, and James Reinders, this book explains how to design and implement maintainable and efficient parallel algorithms using a composable, structured, scalable, and machine-independent approach to parallel computing. It presents both theory and practice, and provides detailed ...
Algorithms in C++, Parts 1-4
Fundamentals, Data Structure, Sorting, Searching
1998
EN
Robert Sedgewick has thoroughly rewritten and substantially expanded and updated his popular work to provide current and comprehensive coverage of important algorithms and data structures. Christopher Van Wyk and Sedgewick have developed new C++ implementations that both express the methods in a concise and direct manner, and also provide programmers with the practical means to test them on real applications. Many new algorithms are presented,...
2009
EN
“Ask a mechanical, structural, or electrical engineer how far they would get without a heavy reliance on a firm mathematical foundation, and they will tell you, ‘not far.’ Yet so-called software engineers often practice their art with little or no idea of the mathematical underpinnings of what they are doing. And then we wonder why software is notorious for being delivered late and full of bugs, while other engineers routinely deliver finished bridges, automobiles, electrical appliances, e...
Algorithms in C, Part 5
Graph Algorithms
2001
EN
Once again, Robert Sedgewick provides a current and comprehensive introduction to important algorithms. The focus this time is on graph algorithms, which are increasingly critical for a wide range of applications, such as network connectivity, circuit design, scheduling, transaction processing, and resource allocation. In this book, Sedgewick offers the same successful blend of theory and practice with concise implementations that can be tested on real applications, which has made his work...
2011
EN
Algorithms Interview Questions You'll Most Likely Be Asked is a perfect companion to stand ahead above the rest in today’s competitive job market. Rather than going through comprehensive, textbook-sized reference guides, this book includes only the information required immediately for job search to build an IT career. This book puts the interviewee in the driver's seat and helps them steer their way to impress the interviewer.Includes:a) 250 Algorithms Interview Questions, ...
Art of Computer Programming, Volume 1, Fascicle 1, The
MMIX -- A RISC Computer for the New Millennium
2005
EN
Check out the boxed set that brings together Volumes 1 - 4B in one elegant case.The Art of Computer Programming, Volumes 1-4B Boxed SetISBN: 9780137935109Art of Computer Programming, Volume 1, Fascicle 1, The: MMIX -- A RISC Computer for the New MillenniumThis 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 alread...
2013
EN
For anyone who has ever wondered how computers solve problems, an engagingly written guide for nonexperts to the basics of computer algorithms.Have you ever wondered how your GPS can find the fastest way to your destination, selecting one route from seemingly countless possibilities in mere seconds? How your credit card account number is protected when you make a purchase over the Internet? The answer is algorithms. And how do these mathematical formulations transl...
Mastering Algorithms with Perl
Practical Programming Through Computer Science
2011
EN
Many programmers would love to use Perl for projects that involve heavy lifting, but miss the many traditional algorithms that textbooks teach for other languages. Computer scientists have identified many techniques that a wide range of programs need, such as:Fuzzy pattern matching for text (identify misspellings!)Finding correlations in dataGame-playing algorithmsPredicting phenomena such as Web trafficPolynomial and spline fitting











