PDF Ebook Algorithms in a Nutshell (In a Nutshell (O'Reilly)), by Gary Pollice
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Algorithms in a Nutshell (In a Nutshell (O'Reilly)), by Gary Pollice
PDF Ebook Algorithms in a Nutshell (In a Nutshell (O'Reilly)), by Gary Pollice
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About the Author
George Heineman is an Associate Professor of Computer Science at WPI. His research interests are in Software Engineering. He co-edited the 2001 book "Component-Based Software Engineering: Putting the Pieces Together". He was the Program Chair for the 2005 International Symposium on Component-Based Software Engineering.Gary Pollice is a self-labeled curmudgeon (that's a crusty, ill-tempered, usually old man) who spent over 35 years in industry trying to figure out what he wanted to be when he grew up. Even though he hasn't grown up yet, he did make the move in 2003 to the hallowed halls of academia where he has been corrupting the minds of the next generation of software developers with radical ideas like, "develop software for your customer, learn how to work as part of a team, design and code quality and elegance and correctness counts, and it's okay to be a nerd as long as you are a great one."Gary is a Professor of Practice (meaning he had a real job before becoming a professor) at Worcester Polytechnic Institute. He went to WPI because he was so impressed with the WPI graduates that he's worked with over the years. He lives in central Massachusetts with his wife, Vikki, and their two dogs, Aloysius and Ignatius. When not working on geeky things he ... well he's always working on geeky things. You can see what he's up to by visiting his WPI home page at:http://web.cs.wpi.edu/~gpollice/. Feel free to drop him a note and complain or cheer about the book.Stanley Selkow received a BS in Electrical Engineering from Carnegie Institute of Technology in 1965, and then a Ph.D. in the same area from the University of Pennsylvania in 1970. From 1968 to 1970 he was in the Public Health Service at the National Institutes of Health at Bethesda Maryland. Since 1970 he has been on the faculty at universities in Knoxville TN and Worcester MA, as well as Montreal, Chonqing, Lausanne and Paris. His major research has been in graph theory and algorithm design.
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Product details
Series: In a Nutshell (O'Reilly)
Paperback: 364 pages
Publisher: O'Reilly Media; 1 edition (October 24, 2008)
Language: English
ISBN-10: 059651624X
ISBN-13: 978-0596516246
Product Dimensions:
6 x 0.9 x 9 inches
Shipping Weight: 1.2 pounds
Average Customer Review:
4.0 out of 5 stars
33 customer reviews
Amazon Best Sellers Rank:
#452,316 in Books (See Top 100 in Books)
I bought this in preparation for software engineering job interviews after being out of college for a decade and finding myself being asked to write things like a Quicksort at onsite interviews. This book covers a number of the commonly used Sorting/Searching algorithms as well as delving into path finding and other interesting topics. Even after finding a job I still enjoy reading it and have found it useful on several occasions when I needed to determine the best algorithm for the job.The code examples are mostly written in C but most programmers will be fine with using the psuedo-coded algorithms and their favorite language.
Great book. Teaches topics found in my class in a more clear and concise manner then the course's assigned textbook.The writing style and pseudocode are relatively easy to comprehend.
Bought useds, good single-source reference for those of us who weren't necessarily CS majors in school but found ourselves programming for a living
Handy to have about, but for a desktop reference, I think there should have been some more material. Sorting and searching are not the only things people want to implement - coverage of some other topics would have made this better.
Don't get me wrong, math equations are very important and are critical parts of understanding algorithms. However, in many algorithm books, I feel that between long math equations and multi-page proofs, something is lost, and readers and students therefore suffer.This is the ONLY book I've found so far that UNDERSTANDABLY explains algorithms without Math-Proof spam. It is actually the best algorithm reference book I've found so far. Has lots of pictures.Well worth the money. BUY IT.
When we as software developers apply algorithms in our daily work, how many of us really have to prove to our bosses or customers the algorithms works mathematically? I bet there most of us don't.That's how come this book is extremely useful for algorithms consumers. It's very practical and skip most of the math b***s***. You open it, jump right to the solution you want, lookup the pseudocode and the graph, and maybe spend a few minutes to read the description, that's it. Get in, get out, get things done, people happy.If you really care about the math, there are plenty of algorithms classic out there on the shelf you can get. But if you just need the algorithms to save you ass at some point like me, this is the perfect choice.
I'm only part way through so far but enjoying this book. The style of writing is geared very well to understanding the algorithms.
The book has an appropriate coverage on several interesting techniques commonly used and referred to in computer sciences. Worth the money.
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