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Product details
File Size: 7076 KB
Print Length: 730 pages
Publisher: Springer; 2 edition (April 5, 2009)
Publication Date: April 5, 2009
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B00B8139Z8
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#49,442 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
I had high hopes for this book given the reviews here. I bought this book brush up on my existing knowledge and learn new things and was very excited to receive it. There are some interesting points and I liked that it has a section on heuristics. It introduced me to the idea of simulated annealing, which I am using for a problem at work now actually, but like most things in the book I had to turn to the internet for a better explanation. The book is a bit wordy and hard to read at times.The other major gripe I had is with the code examples. Most variables and method parameters are named a, k, c .. etc. For instance here is a method header in the backtracking section: construct_candidates(int a[], int k, int n, int c[], int *ncandidates)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 whatk[i] - c + a is. It has been my experience that most math/engineer types and professors tend to write code this way vs giving things descriptive names so the code is easily understandable. The book would be 10X more valuable had the code samples been clearer. I ended up sending it back.
Buyer beware! Amazon appears to be selling counterfeit textbooks. I have notified Amazon of this problem and re-purchased and still received what I believe to be counterfeits due to the very poor quality of the color, binding, printing, and horrible misspellings on the back of the book in particular.The contents of the book is great BTW. However I'd recommend buying direct from publisher.
If you've been sentenced with the CLRS book (Introduction to Algorithms), buy this book in addition!! CLRS has very firm technical descriptions, but The Algorithm Design Manual is simply much more enjoyable and provides a lot of the motivation for using some of the algorithms described in CLRS. The book is simply a delight to read.ALSO: perhaps most importantly, if you are a recent graduate of a computer science program and you are trying to get a job in the field, this is the FIRST book I would recommend to review algorithms and data structures. DO NOT EVEN BOTHER to pick up CLRS (unless specifically directed to do otherwise), as more than likely the questions you will get during the interview will be some variation of the problems that you will encounter in here. I had at least one interview in which all of the problems were derivatives of those mentioned in here; unfortunately I had not yet found this book and so I was rather poorly prepared. When I first picked this up a few months later, I immediately recognized it's value and the fact that this was the only resource I had needed all along.
Not sure why this is listed as "abridged" but the number of pages matches the other listing for the item. It took a fair amount of searching on the ISBN to find someone who disclosed the number of pages.Personally, I really like Mr. Skiena's writing style and his presentation is clear. It's not as dry as Sedgwick. This has now become my favorite book on algorithms.
This book seems to be a very loose touch on algorithms. The author stated his algorithm for solving the pyramidal number problem from pp 52 - 54, but where can we find and try out his program mentioned that it got 30,000 times faster, etc.? For the matrix multiplication problem stated on p 403, it just refers to other people's work without giving anything concrete.If you are looking for algorithms with real, working implementations, it might be worthwhile to check out "Algorithms with Implementation in C: a Quantitative Approach."
Steven covers a lot of topics and as often as not - not deep enough. I would have prefer fewer topics and examples, but more depth. Also, all his example code is in C++. I would have much preferred a pseudo code to any specific programming language.As others have noted, the spine is very weak, and fell apart rather easily. The publisher noted that it was printed on acid-free paper but failed to note it was bound with sticky-free glue.
It's not a great one to start off with, especially if you never did an algorithms class in college. I'd say it's a decent second book, as it has enough complexity, but it has a somewhat readable style. You can tell the author really tried to make the material approachable, but it's nowhere near as beginner friendly as the amazing book "Grokking Algorithms", that one is a true beginners book. This is a decent second one.
Ordered the hardcover version and glad I did; this is worth having around as a quick reference and as an introduction to problems you may not know the nuances of yet. It's also a good jumping-off point to get you thinking about the nuances of an algorithm or set of algorithms and give you references for further reading.I took off one star because of the hardcover's print quality. The print looks like it was printed on a laser printer set to economy quality while it was running out of toner--it doesn't prevent you from using the book but does make it harder to read and less presentable, and means it's just not quite up to the quality you expect from a decently printed book.
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