Data Structures and Algorithm Analysis in Java

Data Structures and Algorithm Analysis in Java image
ISBN-10:

0132576279

ISBN-13:

9780132576277

Author(s): Weiss, Mark
Edition: 3
Released: Nov 18, 2011
Publisher: Pearson
Format: Hardcover, 648 pages
to view more data

Description:

Data Structures and Algorithm Analysis in Java is an “advanced algorithms” book that fits between traditional CS2 and Algorithms Analysis courses. In the old ACM Curriculum Guidelines, this course was known as CS7. This text is for readers who want to learn good programming and algorithm analysis skills simultaneously so that they can develop such programs with the maximum amount of efficiency. Readers should have some knowledge of intermediate programming, including topics as object-based programming and recursion, and some background in discrete math.

As the speed and power of computers increases, so does the need for effective programming and algorithm analysis. By approaching these skills in tandem, Mark Allen Weiss teaches readers to develop well-constructed, maximally efficient programs in Java.

Weiss clearly explains topics from binary heaps to sorting to NP-completeness, and dedicates a full chapter to amortized analysis and advanced data structures and their implementation. Figures and examples illustrating successive stages of algorithms contribute to Weiss’ careful, rigorous and in-depth analysis of each type of algorithm. A logical organization of topics and full access to source code complement the text’s coverage.

Low Price Summary






Top Bookstores


























We're an Amazon Associate. We earn from qualifying purchases at Amazon and all stores listed here.

DISCLOSURE: We're an eBay Partner Network affiliate and we earn commissions from purchases you make on eBay via one of the links above.

Want a Better Price Offer?

Set a price alert and get notified when the book starts selling at your price.

Want to Report a Pricing Issue?

Let us know about the pricing issue you've noticed so that we can fix it.