- Paperback: 730 pages
- Publisher: Springer; 2nd ed. 2008 edition (November 5, 2010)
- Language: English
- ISBN-10: 1849967202
- ISBN-13: 978-1849967204
- Product Dimensions: 7 x 1.7 x 9.2 inches
- Shipping Weight: 3.2 pounds (View shipping rates and policies)
- Average Customer Review: 149 customer reviews
- Amazon Best Sellers Rank: #12,821 in Books (See Top 100 in Books)
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The Algorithm Design Manual 2nd ed. 2008 Edition
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From the reviews of the second edition:
“This is detailed and timeless book that I keep reaching for. A useful book that I can not keep access to long enough. It is a important book to have in your library. Unlike other algorithm books that I have the algorithms are written independent of any programming language.” (Mary Anne, Cats and Dogs with Data, maryannedata.com, April, 2014)
“The Algorithm Design Manual by Steven Skiena is aimed at two groups of people: students and professionals. … It is written in an informal style that I found pleasant and engaging. … The book’s unique structure makes it more likely to be immediately useful to the practitioner who has problem to solve and wants to quickly make progress … . the book succeeds admirably. … would be helpful to the student who has never seen this material before. … Overall, I recommend this book warmly.” (Neelakantan Kartha, The Book Review Column, 2011)
“Algorithms are the very heart of computing … . This book is about right for most people. … Each of the topics is treated in a readable informal style with lots of asides and accounts of personal experiences - ‘war stories’ in implementing algorithms. … If you want to use it as a course textbook then there are lots of exercises at the end of every chapter. Highly recommended.” (Mike James, I Programmer, September, 2009)
"Addressing the main difficulties of solving problems, this book goes far beyond the design of algorithms. It is essential for scientists, engineers, and any professionals who aim to solve problems, with a noticeable emphasis on real problems. It will not only serve as a valuable undergraduate textbook, but it will also become an irreplaceable reference guide for most professionals in the area." (Carlos Linares Lopez, Computing Reviews, February, 2009)
"Skiena focuses on the practical aspects of algorithm design and use. … this work fills an important gap in the knowledge of CS practitioners and students. … this book is suitable as a text for an undergraduate algorithms class, but also as an invaluable reference for the practicing programmer. … This second edition has updated the bibliography to include recent works, making it an extensive bibliography. The index is also thorough and very useful for finding specific problems." (William Fahle, ACM Computing Reviews, December, 2008)
"For a decade, Steven Skiena’s Algorithm Design Manual retained its title as the best and most comprehensive practical algorithm guide to help identify and solve problems. It is now available in an improved second edition that is worth buying simply for the updates. … Every programmer should read this book, and anyone working in the field should keep it close to hand. … Would I recommend it? Absolutely. This is the best investment … a programmer or aspiring programmer can make." (Harold Thimbleby, Times Higher Education, November, 2008)
"My absolute favorite for this kind of interview preparation is Steven Skiena’s The Algorithm Design Manual. More than any other book it helped me understand just how astonishingly commonplace … graph problems are -- they should be part of every working programmer’s toolkit. The book also covers basic data structures and sorting algorithms, which is a nice bonus. … every 1 – pager has a simple picture, making it easy to remember. This is a great way to learn how to identify hundreds of problem types." (Steve Yegge, Steve Yegge’s Blog, March, 2008)
"...the book is an algorithm implementation treasure trove, and putting all of these implementations in one place was no small feat. The list of implementations, an extensive bibliography … make the book an invaluable resource for everyone interested in the subject." (ACM Computing Reviews)
From the Back Cover
....The most comprehensive guide to designing practical and efficient algorithms!....
The Algorithm Design Manual, Second Edition
"...the book is an algorithm-implementation treasure trove, and putting all of these implementations in one place was no small feat. The list of implementations [and] extensive bibliography make the book an invaluable resource for everyone interested in the subject." --ACM Computing Reviews
"It has all the right ingredients: rich contents, friendly, personal language, subtle humor, the right references, and a plethora of pointers to resources." -- P. Takis Metaxas, Wellesley College
"This is the most approachable book on algorithms I have." -- Megan Squire, Elon University, USA
This newly expanded and updated second edition of the best-selling classic continues to take the "mystery" out of designing algorithms, and analyzing their efficacy and efficiency. Expanding on the first edition, the book now serves as the primary textbook of choice for algorithm design courses while maintaining its status as the premier practical reference guide to algorithms for programmers, researchers, and students.
The reader-friendly Algorithm Design Manual provides straightforward access to combinatorial algorithms technology, stressing design over analysis. The first part, Techniques, provides accessible instruction on methods for designing and analyzing computer algorithms. The second part, Resources, is intended for browsing and reference, and comprises the catalog of algorithmic resources, implementations and an extensive bibliography.
NEW to the second edition:
• Doubles the tutorial material and exercises over the first edition
• Provides full online support for lecturers, and a completely updated and improved website component with lecture slides, audio and video
• Contains a unique catalog identifying the 75 algorithmic problems that arise most often in practice, leading the reader down the right path to solve them
• Includes several NEW "war stories" relating experiences from real-world applications
• Provides up-to-date links leading to the very best algorithm implementations available in C, C++, and Java
ADDITIONAL Learning Tools:
• Exercises include "job interview problems" from major software companies
• Highlighted take-home lesson boxes emphasize essential concepts
• Provides comprehensive references to both survey articles and the primary literature
• Exercises point to relevant programming contest challenge problems
• Many algorithms presented with actual code (written in C) as well as pseudo-code
• A full set of lecture slides and additional material available at www.algorist.com
Written by a well-known algorithms researcher who received the IEEE Computer Science and Engineering Teaching Award, this new edition of The Algorithm Design Manual is an essential learning tool for students needing a solid grounding in algorithms, as well as a special text/reference for professionals who need an authoritative and insightful guide. Professor Skiena is also author of the popular Springer text, Programming Challenges: The Programming Contest Training Manual.
Top customer reviews
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As an example, older calculators always started "high" when finding quadratic factors or square roots. Skiena (p. 134) shows that three possible "front ends" can make subsequent iteration (trial and error until you're done) faster and more efficient: 1. The older always start high method 2. A common bisection technique-- split the problem, then, by "divide and conquer" go higher or lower and 3. Use interpolation to get closer sooner, then iterate.
The book is set up both as a self study and year long course text, but frankly the presentation is far from academic and much more rubber hits the road practical, realistic, design. The background is given with pseudocode, then the basic level of math needed to get the job done without pages of theory and proofs of Big Oh efficiency, etc.
Since 2008, the next edition in 2010, and this 2012 "printing corrections" edition (not considered a true edition, but contains many detailed corrections), this book has found a great audience in interview prep, because the author takes such a real world approach to solutions. Make sure you get the corrected edition if you buy from an Amazon third party vendor, you will if you get it directly from Amazon.
Highly recommended for all levels of programmers. The index also has been updated, and some of the previous reviews pointing out errors corrected, making this an outstanding reference. As if 700 pages weren't enough, the author also provides 19 sections of practical reviews of online resources and a detailed 43 page very current bib. If you're looking for a difficult to find "vein" of info (say, for example, on CAS algos), you'll find a wealth of info in these sections. Many volumes call themselves cookbooks, this really IS the best of that genre. If you can afford only one algo book, and want to use it without a tutor, teacher or coach, this is the one. Don't take that to mean it's simple-- it's just as deep as the academic texts, but simply removes all the math you don't use every day anyway. It's really more for programmers than researchers, but researchers would still learn a lot about how practical algo writers frame problems.
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The contents of the book is great BTW. However I'd recommend buying direct from publisher.
+Great writing style
+Lots of sample code
+Lots of practice problems
+Real world examples of how algorithms are useful as a dev
-The C sample code was often hard to read as it appeared to be written for compactness
-The licensing around the code samples was unclear
I can't overstate the value of the real life examples, "war stories" in the text, and the sample code. The other texts I've been exposed to often skipped working examples and stuck firmly to theory with little to no application. The writing style was probably the best I've read in a textbook.
This book should be read at least by teams about to develop large or heavy transaction intense systems.
The book requires time. Read, think, and practice. Then take a break.
It puts some demands on your math skills, yes, but not to the extreme. Just refresh those skills if needed, then read on.
If you plan to hire serious software developers, ask them about the algorithms in this book to find out how serious they really are!
Most recent customer reviews
Content seems a bit complicated, but not too complicated. I guess that part isn't the book's fault.