Mastering Advanced Data Structures and Algorithm Design Strategies (Textbook of Data Structures and Algorithms, 3)

Pai, G. A. Vijayalakshmi

ISBN 10: 1786308924 / ISBN 13: 9781786308924

Published by Wiley-ISTE, 2023

About this Item

Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

Seller Inventory # M01786308924-V

Bibliographic Details

• Title: Mastering Advanced Data Structures and Algorithm Design Strategies (Textbook of Data Structures and Algorithms, 3)
• Publisher: Wiley-ISTE
• Publication Date: 2023
• Language: English
• ISBN 10: 1786308924
• ISBN 13: 9781786308924
• Binding: Hardcover
• Condition: very good

About this title

Synopsis

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.

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.