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Foundations Of Algorithms Paperback: 676 pages

Publisher: Jones & Bartlett Learning; 5 edition (March 19, 2014)

Language: English

ISBN-10: 1284049191

ISBN-13: 978-1284049190

Product Dimensions: 1.5 x 7.2 x 9 inches

Shipping Weight: 2.6 pounds (View shipping rates and policies)

Average Customer Review: 4.5 out of 5 stars See all reviews (14 customer reviews)

Best Sellers Rank: #70,798 in Books (See Top 100 in Books) #28 in Books > Computers & Technology > Networking & Cloud Computing > Data in the Enterprise #45 in Books > Computers & Technology > Programming > Algorithms #401 in Books > Computers & Technology > Computer Science

An absolute gem in clarity and depth of topic. I only have a background in C/C++ with a little knowledge of discrete math. This book builds upon those knowledge and takes you in-depth with the different algorithms and how to analyze their complexity. I would buy this book for the first chapter alone- which contains one of the best explanations of algorithm complexity and efficiency, without stripping the academic overtone (formal definitions). There plenty of examples provided by the author is the perfect pedagogy for anyone who learns by example and I cannot overstate how eloquent and easy to understand the author makes the material out to be, eventhough they are quite difficult concepts. Dr. Neapolitan book should come highly recommended to anyone who struggled with other Algorithm books not just for a graduate or undergrad course, but also for self-study.

I tried those algorithm booksAlgorithm Design by KleibergAlgorithms (4th Edition) by SedgewickMy favorite is Neapolitan's, because1.It covers both design paradigms and complexity analysis.Kleinberg's focus on design paradigm, andSedgewick's focus on complexity analysis of already existing algorithms.Neapolitan is somewhere between those two.2.I like the author's presentation style.: it start with a very easy algorithm at the beginning of each chapter and gradually increase the difficulty.It really helps to understand the design paradigm, NOT to memorize each algorithm.3.It contains pseudo code, making the book practical.This also makes the reading more clear and compact.

This was a great algorithms book. I used it for a grad level algorithms course where we went in depth into every chapter of this book, and I am very glad that he chose this book. This books makes all of the chapters relatively easy, even when the algorithm being discussed is fairly difficult to grasp. I am going to be reading CLRS next during my free time to better understand some of the harder to grasp algorithms and in order to learn some algorithms not discussed in this book, as it is cheaper than this book and more highly regarded, but I still really enjoyed this book.

By far the best algorithm book I have ever bought. Less wordy than any other book and explain examples very well.

you will enjoy reading this one again and again.

I bought it as used, but it looks like new. I am very pleased with the purchase. I will need it for next semester course. It explains step by step and make the topic easy to follow.

Just as what I want. Like this book.

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