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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.From the reviews of the second edition:
“This is a 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)
....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.
Steven Skiena is Professor of Computer Science at Stony Brook University. His research interests include the design of graph, string, and geometric algorithms, and their applications (particularly to biology). He is the author of four books, including "The Algorithm Design Manual" and "Calculated Bets: Computers, Gambling, and Mathematical Modeling to Win". He is recipient of the ONR Young Investigator Award and the IEEE Computer Science and Engineering Undergraduate Teaching Award.
Steven S. Skiena is Distinguished Teaching Professor of Computer Science at Stony Brook University. He is the author of six well-regarded books: The Algorithm Design Manual (2020), The Data Science Design Manual (2017), Who's Bigger (2013), Calculated Bets: Computers, Gambling, and Mathematical Modeling to Win (2001), Programming Challenges (with Miguel Revilla, 2003) and Computational Discrete Mathematics (with Sriram Pemmaraju, 2003).
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Learn more how customers reviews work on AmazonCustomers find this book to be a comprehensive guide through algorithms and data structures, serving as an excellent reference. They appreciate the author's passion for the subject and the inclusion of war stories as a fantastic touch. The readability receives mixed feedback, with some finding it somewhat readable while others say it's hard to read at times, and the code quality is criticized for being hard to read. The page numbers are missing in the first chapter, though customers consider it good value for money.
AI Generated from the text of customer reviews
Customers praise the book's comprehensive coverage of algorithms and data structures, with great explanations of the basics and serving as an excellent reference guide.
"This text strikes a perfect balance between too complex and too simple-- with hundreds of practical techniques that give a great overview of nearly..." Read more
"...not a book on C, and the lack of syntactic clutter made the algorithm easier to see. I also thought chapter nine was a bit too long...." Read more
"...The author is fond of lucid and effective examples that make it easy to grasp the basic concept of a lot of otherwise opaque/obscure algorithms...." Read more
"...solving methods are presented, and the catalog of problems in the back is just genious .. i LOVE the way this book is written in a very practical way..." Read more
Customers enjoy the book's storytelling, particularly appreciating the war stories, with one customer specifically mentioning the engaging anecdotes about cooking.
"...Skiena's war stories are fun and the description of the algorithms, although not simplified, is certainly clear. What did I get the most from?..." Read more
"...overview of algorithms, with some interesting examples and inspiring war stories...." Read more
"...War Story are a nice addition to the book...." Read more
"...it also explored the basic ingredients and methods and told interesting stories about cooking...." Read more
Customers find the book to be a great value, with one customer noting that run-time costs are considered at every step.
"...It's $20 more expensive in iBooks, but I think it's worth the extra money." Read more
"...Even with all the problems in kindle version it is still worth due to its content." Read more
"...Run-time costs are considered at every step." Read more
"...The quality is OK for international book with low price." Read more
Customers appreciate the academic content of the book, with one customer noting that the author is a university professor and has a passion for the subject matter.
"...But what I liked the most was the war stories: the author is a university professor and also a consultant so he present interesting war stories..." Read more
"...Reading this book I feel the author has a real passion in this area and gives this passion to readers. Really recommend it." Read more
"Very comprehensive and academia-oriented...." Read more
Customers have mixed opinions about the book's readability, with some finding it somewhat readable and enjoying the writing style, while others report it is hard to read at times and contain too many typos.
"...The author is fond of lucid and effective examples that make it easy to grasp the basic concept of a lot of otherwise opaque/obscure algorithms...." Read more
"...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,..." Read more
"I LOVE LOVE LOVE this book. It is so easy to read, and so practical ... concepts are explained wonderfully, with example code and very clear..." Read more
"...And there were a few stylistic issues, such as leaving off function return types and a bunch of global variables, that I didn't like, but I'm..." Read more
Customers have mixed opinions about the algorithm approach of the book, with some appreciating its original problem-solving methods and clear explanations, while others find it unclear and mathematically involved.
"...This book, however, takes a different approach, and serves as a guide book for using algorithms in the real world...." Read more
"3.5 stars if possible but I'll bump to a 4. Book is light on algorithm implementation but does a very good job of explaining the nuts and bolts..." Read more
"...It's an accessible approach to the field of study and shies away from mathematical notation that makes a lot of similar textbooks hard to read as an..." Read more
"...Some algorithms are simply impossible to reconstruct." Read more
Customers have mixed opinions about the code quality in the book, with some finding it hard to read, while one customer mentions it helps with programming competitions.
"...I also love that the example code is in C. Too many books give example code in languages with a lot of overhead, like Java, and end up obscuring..." Read more
"...This makes the code very hard to read and follow as well when you are a lines deep in a method trying to figure out what k[i] - c + a is...." Read more
"...read, and so practical ... concepts are explained wonderfully, with example code and very clear descriptions of motivations behind each strategy ......" Read more
"...-The C sample code was often hard to read as it appeared to be written for compactness..." Read more
Customers have mixed opinions about the page numbers in the book, with several noting the lack of them, and one customer reporting missing pages in the first chapter.
"...as it might be because the Kindle edition of this book does not offer page numbers." Read more
"...and will be a great reference, but for some reason they failed to include the page numbers with the digital copy...." Read more
"This book came with pages missing in the first chapter. Some pages were printed reverse (mirrored)...." Read more
"...Edit: It turns out the book is also missing almost all of chapter 12. The printing on this book has all sorts of issues" Read more
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