Get Free Ebook Data Structures and Algorithms Made Easy in Java: Data Structure and Algorithmic Puzzles, Second Edition By Narasimha Karumanchi
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Data Structures and Algorithms Made Easy in Java: Data Structure and Algorithmic Puzzles, Second Edition By Narasimha Karumanchi
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- Sales Rank: #74845 in Books
- Brand: Brand: CreateSpace Independent Publishing Platform
- Published on: 2011-12-16
- Original language: English
- Number of items: 1
- Dimensions: 11.00" h x .99" w x 8.50" l, 2.14 pounds
- Binding: Paperback
- 438 pages
- Used Book in Good Condition
Review
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This is a great programming book with respect to data structures and algorithms. The author have been able to gather all sort of interesting problems from all corners of computer science. If one is able to understand and internalize all the solutions presented in this book, one will, in my mind, become a solid expert, capable of solving any kind of issues that can be found in the field of software development. In writing comment for this book, I don't know what else to write beyond those good words that have been said about the book in the five star category. In that, I just want to add my comments regarding the use of Java and the math nature of the problems. First, even though Java is used to demonstrate the solutions, it's used very succinctly with just enough Java constructs to make the point, making the code snippets small - an attribute that all programmers can appreciate. Secondly, since Java is considered as a natural, neutral language , its actually a good choice to use in expressing problem/solution in data structure and algorithm topics, which the book is all about. The fact the author approach many solutions from a point of view mathematic makes the book more valuable because all algorithm concepts such time complexity, binary search, etc, are based on mathematical reasoning's. --Thomas R. C.
From the Author
Objective of this book is to present the ideas for solving data-structure and algorithmic problems. I request to go through the first chapter as it describes when do we (situations) get different complexities like O(logn), O(n^2), O(loglogn), O(nlogn), O(2^n) etc.. Once you understand them, remaining chapters looks easy as we refer these complexities at every place.
From the Inside Flap
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