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Analysis and Design of Algorithms, by Amrinder Arora
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"Analysis and Design of Algorithms provides a structured view of algorithm design techniques in a concise, easy-to-read manner. The book was written with an express purpose of being easy — to understand, read, and carry.
The book begins with a clear explanation of the basics—what algorithms are, their practical applications, asymptotic notation, and data structures. The second section covers the algorithmic design techniques of divide and conquer, greedy, dynamic programming, branch and bound, and graph traversal. For each of these techniques, the book presents templates and guidelines on when to use and not to use each technique. The third major section of the book covers NP-completeness and the inherent hardness of problems.
Using the material provided in this book, students and professionals can master the processes to use in solving the most difficult algorithmic problems. Users can explore various techniques, and learn to decide which algorithm design technique to use for a given problem. Many sections contain innovative mnemonics to aid the students in remembering the templates and key takeaways.
Written with input from students and professionals, Analysis and Design of Algorithms is well suited for introductory algorithm courses at the undergraduate and graduate levels. The structured organization of the text makes it especially appropriate for online/distance learning.
Amrinder Arora received his masters and doctorate in computer science from George Washington University, where he serves as an adjunct faculty member in the computer science department. Dr. Arora has held numerous executive positions at technology companies and has presented his research work at conferences throughout the United States, as well as internationally. He is a leading industry expert in data analytics and business intelligence."
- Sales Rank: #1063647 in Books
- Published on: 2014-12-30
- Original language: English
- Number of items: 1
- Dimensions: 10.00" h x .34" w x 7.99" l, .73 pounds
- Binding: Paperback
- 160 pages
Most helpful customer reviews
3 of 3 people found the following review helpful.
Quality over Quantity
By lifeisgood
This is a thoughtful, modern approach that concisely guides students through traditional algorithms. The author does a great job of presenting and explaining each algorithm. This book does not have a lot of clutter that distracts from the important concepts. The information is carefully selected to help students focus on learning the crux of each algorithm and leaves the reference material to the internet, where it is abundant. This approach is preferable to other algorithm classes where students are burdened with huge algorithm text books while only using a small percentage of the pages in them.
1 of 1 people found the following review helpful.
It provides a great alternative to the overtly verbose algorithms books out there
By Amazon Customer
Analysis and Design of Algorithms provides a thorough coverage of the most important algorithms used in computer science. The author makes a trade-off between keeping the text short (and readable) at the expense of not getting into the intricacies of implementation. It's an enjoyable read, and probably the only Algorithms book you can read cover to cover in one sitting. That being said, the book provides the material necessary in a graduate level algorithms course, and the exercises test you on your understanding of the text. It provides a great alternative to the overtly verbose algorithms books out there, without you feeling that you are missing out on knowledge.
0 of 0 people found the following review helpful.
Valuable tool to understand Algorithm Design
By Jorge Martinez
I had the privilege to make use of the referenced book and I can confirm that it is an invaluable tool with an excellent organization of the topics it develops, it is really concise and has the proper amount of information to clearly understand the content to be studied. In addition, the different practice exercises are carefully selected to facilitate accordingly the overall learning process. Therefore, this is a must have book if you are planning to study the different techniques to design optimal and efficient algorithms.
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