A Textbook of Data Structures and Algorithms, Volume 2: Mastering Nonlinear Data Structures
Language: English
Published by ISTE Ltd and John Wiley & Sons Inc, 2023
- First Edition
- Hardcover
- New

Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrelandKennys Bookshop and Art Galleries Ltd.
AbeBooks seller since February 27, 2001
Condition: New
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Seller Inventory # V9781786308917
- Title
- A Textbook of Data Structures and Algorithms, Volume 2: Mastering Nonlinear Data Structures
- Author
- G. A. Vijayalakshmi Pai
- Publisher
- ISTE Ltd and John Wiley & Sons Inc
- Publication year
- 2023
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 1786308916
- ISBN 13
- 9781786308917
- Edition
- 1st Edition
Data structures and algorithms is a fundamental course in Computer Science, which enables learners across any discipline to develop the much-needed foundation of efficient programming, leading to better problem solving in their respective disciplines.
A Textbook of Data Structures and Algorithms is a textbook that can be used as course material in classrooms, or as self-learning material. The book targets novice learners aspiring to acquire advanced knowledge of the topic. Therefore, the content of the book has been pragmatically structured across three volumes and kept comprehensive enough to help them in their progression from novice to expert.
With this in mind, the book details concepts, techniques and applications pertaining to data structures and algorithms, independent of any programming language. It includes 181 illustrative problems and 276 review questions to reinforce a theoretical understanding and presents a suggestive list of 108 programming assignments to aid in the implementation of the methods covered.
"Synopsis" may belong to another edition of this title.
About the Author
G A Vijayalakshmi Pai SMIEEE is a Professor of Computer Applications at PSG College of Technology, Coimbatore, India. She has authored books and investigated research projects funded by government agencies in the disciplines of Computational Finance and Computational Intelligence.
"About the title" may belong to another edition of this title.
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