The Algorithm Design Manual
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Couverture | Copyright | Table des matières | Extrait | Index | Quatrième de couverture
Couverture | Copyright | Table des matières | Extrait | Index | Quatrième de couverture
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Commentaires client les plus utiles
Par CHANUSSOT Lowik
Format:Broché|Achat authentifié par Amazon
Excellent livre, écrit de manière très claire et avec de nombreux exemples réels.
L'organisation des chapitres est très bien faite, on commence doucement avec une présentation des structures de données les plus simple, jusqu'aux algorithmes les plus complexes. La deuxième partie du livre est mine d'or, avec un classement des algorithmes par problème.
L'organisation des chapitres est très bien faite, on commence doucement avec une présentation des structures de données les plus simple, jusqu'aux algorithmes les plus complexes. La deuxième partie du livre est mine d'or, avec un classement des algorithmes par problème.
Par Sylvain Rousson
Format:Relié
This book a really good one for improving your skill in algorithm design.
Explaination are clear and efficient!
Exercices help you to apply theroy!
Explaination are clear and efficient!
Exercices help you to apply theroy!
Commentaires client les plus utiles sur Amazon.com (beta)
Amazon.com:
4.4 étoiles sur 5
48 commentaires
23 internautes sur 25 ont trouvé ce commentaire utile
4.0 étoiles sur 5
Great book. Maybe a beginner book, but not for comp sci novices!
3 octobre 2010
Par E. Jones
- Publié sur Amazon.com
Format:Format Kindle|Achat authentifié par Amazon
I've got the Cormen book as well, which I love. This book is a much more readable text, by far. I think that others here have broken down the areas covered quite well; so I'll just give a stream of consciousness version of what I liked about the book.
It gives the subject matter with from a need to know standpoint. It also gives you real world examples of how the author has had to utilize algorithms not just to implement a particular solution, but to also optimize existing solutions. Although it doesn't give the hardcore theoretical breakdowns in Cormen's text, don't think that the subject matter is presented in a lightweight format. You will still be given some level of mathematical proof for some algorithms and data structure optimizations.
Although less terse than the typical text on Algorithms, it doesn't try too hard to be cute and quirky. The humor is well placed and not too overbearing.
Though less academic than "Introduction To Algorithms", this ain't the book to pickup to learn about coding algorithms for a quick study prior to an interview. However, if you're planning to get ready for interviews maybe a few months down the road...go for it!
A caveat...I got the Kindle version for the Android, which is none too forgiving when it comes to images. So diagrams look horrible on the phone (even with the DroidX's big-assed screen). It looks fine on the laptop, however.
Enjoy!
It gives the subject matter with from a need to know standpoint. It also gives you real world examples of how the author has had to utilize algorithms not just to implement a particular solution, but to also optimize existing solutions. Although it doesn't give the hardcore theoretical breakdowns in Cormen's text, don't think that the subject matter is presented in a lightweight format. You will still be given some level of mathematical proof for some algorithms and data structure optimizations.
Although less terse than the typical text on Algorithms, it doesn't try too hard to be cute and quirky. The humor is well placed and not too overbearing.
Though less academic than "Introduction To Algorithms", this ain't the book to pickup to learn about coding algorithms for a quick study prior to an interview. However, if you're planning to get ready for interviews maybe a few months down the road...go for it!
A caveat...I got the Kindle version for the Android, which is none too forgiving when it comes to images. So diagrams look horrible on the phone (even with the DroidX's big-assed screen). It looks fine on the laptop, however.
Enjoy!
60 internautes sur 73 ont trouvé ce commentaire utile
5.0 étoiles sur 5
Could be called "The Joy of Algorithms"
31 décembre 2009
Par George H.
- Publié sur Amazon.com
Format:Relié|Achat authentifié par Amazon
My Dad loved to cook and one of his favorite cookbooks was "The Joy of Cooking." By the time he died, the pages of his copy were stained and dusted with flour from being constantly used in his kitchen.
Why did he like it so much? Because not only did it have great recipes, it also explored the basic ingredients and methods and told interesting stories about cooking.
That's why "The Algorithm Design Manual" could be called "The Joy of Algorithms." Not only has it become my "goto" book for finding the right algorithmic approach to a problem, it is a joy to read with Skiena's "war stories" and his lively writing style.
Just like my Dad's "The Joy of Cooking" was never far from his stove, "The Algorithm Design Manual" will never be far from my computer.
Why did he like it so much? Because not only did it have great recipes, it also explored the basic ingredients and methods and told interesting stories about cooking.
That's why "The Algorithm Design Manual" could be called "The Joy of Algorithms." Not only has it become my "goto" book for finding the right algorithmic approach to a problem, it is a joy to read with Skiena's "war stories" and his lively writing style.
Just like my Dad's "The Joy of Cooking" was never far from his stove, "The Algorithm Design Manual" will never be far from my computer.
7 internautes sur 7 ont trouvé ce commentaire utile
5.0 étoiles sur 5
Best Intro To Algorithms
26 octobre 2009
Par Jeremiah LaRocco
- Publié sur Amazon.com
Format:Relié|Achat authentifié par Amazon
I've read through the first half of the book, and am now at the catalog of algorithms that makes up the second half, and I've really enjoyed the book so far.
Most books on algorithms take a very formal, math heavy approach in which they present, analyze and prove things about a somewhat arbitrary collection of algorithms. There's usually no mention of real world applications.
This book, however, takes a different approach, and serves as a guide book for using algorithms in the real world. There's a heavy emphasis on formulating problems in terms of existing, solved problems. If you can "map" your problem to one with a known solution, then you can use the proven, existing solution to solve your problem. To emphasize that point, roughly the entire second half of the book is a catalog of known problems and solutions, with references to software libraries, books and other sources of information.
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 the important parts with a ton of object-oriented crap. Yes - OOP is nice, but unless I'm reading a book on OOP, I don't want to dig through 30 lines of irrelevant boilerplate just to find the 10 lines relevant to the algorithm.
That said, it's not the best code in the world. Some of the snippets could be explained better. 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 willing to forgive those because it's 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. A good portion of the chapter is spent reducing various NP-complete problems to other NP-complete problems. Interesting, but it was a bit too theoretical, and didn't really fit with the with the rest of the book.
Most books on algorithms take a very formal, math heavy approach in which they present, analyze and prove things about a somewhat arbitrary collection of algorithms. There's usually no mention of real world applications.
This book, however, takes a different approach, and serves as a guide book for using algorithms in the real world. There's a heavy emphasis on formulating problems in terms of existing, solved problems. If you can "map" your problem to one with a known solution, then you can use the proven, existing solution to solve your problem. To emphasize that point, roughly the entire second half of the book is a catalog of known problems and solutions, with references to software libraries, books and other sources of information.
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 the important parts with a ton of object-oriented crap. Yes - OOP is nice, but unless I'm reading a book on OOP, I don't want to dig through 30 lines of irrelevant boilerplate just to find the 10 lines relevant to the algorithm.
That said, it's not the best code in the world. Some of the snippets could be explained better. 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 willing to forgive those because it's 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. A good portion of the chapter is spent reducing various NP-complete problems to other NP-complete problems. Interesting, but it was a bit too theoretical, and didn't really fit with the with the rest of the book.
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