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About the BookAbout the Author

Data Structures, Algorithms, and Applications in JAVA (2nd Edition) is the new version of the very popular first edition. It provides a comprehensive coverage of fundamental data structures, making it ideal for use in computer science courses. The author has made the book very user friendly by starting with a gentle introduction, providing intuitive discussions, and including real-world applications. Real-world applications are a unique feature of this text. Dr Sahni provides several applications for each data structure and algorithm design method discussed, taking examples from topics such as sorting, compression and coding, and image processing. These applications motivate and interest students by connecting concepts with their use. Dr Sahni does an excellent job of balancing theoretical and practical information, resulting in learned concepts and interested students. The market-developed pedagogy in this book reinforces concepts and gives students plenty of practice. There are almost 1,000 exercises, including comprehension and simple programming problems, and projects. Additionally, the book has an associated website that contains all the programs in the book, animations, sample data, generated output, solutions to selected exercises, and sample tests with answers.

Sartaj Sahni is a Distinguished Professor and Chair of Computer & Information Sciences & Engineering at the University of Florida. He is a member of the European Academy of Sciences, a Fellow of IEEE, ACM, AAAS, and Minnesota Supercomputer Institute, and a Distinguished Alumnus of the IIT, Kanpur. Dr Sahni is the recipient of the 1997 IEEE Computer Society Taylor L Booth Education Award, the 2003 IEEE Computer Society W.Wallace McDowell Award and the 2003 ACM Karl karlstrom Outstanding Educator Award. Dr Sahni received his B.Tech. (EE) degree from the IIT, Kanpur, and MS and PhD degress in Computer Science from Cornell University. Dr Sahni has published over 250 research papers and written 15 texts. His research publications are on the design and analysis of efficient algorithms, parallel computing, interconnection networks, design automation, and medical algorithms.