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Data Structures, 2ed

by R. Venkatesan, S. Lovelyn Rose
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Current price ₹638.00
Original price ₹850.00
Original price ₹850.00
Original price ₹850.00
(-25%)
₹638.00
Current price ₹638.00

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Paperback: Paperback
  • ISBN13: 9788126577149
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Wiley
  • Publisher Imprint: Wiley
  • Publication Date:
  • Pages: 312
  • Original Price: INR 850.0
  • Language: English
  • Edition: N/A
  • Item Weight: 500 grams
  • BISAC Subject(s): N/A

The book has been divided into six chapters. Chapter 1 deals with the preliminaries that are required to appreciate the need for studying data structures. Chapter 2 presents the linear class of data structures. Chapter 3 deals with the important non-linear structures. Advanced data structures such as balanced search trees, heaps etc. have been explained in detail in Chapter 4. Meticulous effort has been taken to provide algorithms for each operation to be performed on these data structures, which could be readily converted into working programs using any one of the modern programming languages. ·Introduction to Algorithms and Data Structures ·Linear Data Structures ·Non-Linear Data Structures ·Advanced Data Structures ·Sorting ·File Structures

Dr. R. Venkatesan has 18 years of industry experience and was actively involved in coordinating and managing large-scale software projects. Currently, he is a Professor in the Department of CSE at PSG College of Technology, Coimbatore. He is also a Fellow of the Institution of Engineers of India. He has several publications in national and international journals and conferences. His areas of interest include software engineering, data structures, algorithm design and object-oriented systems. Dr. S. Lovelyn Rose has a professional career of 16 years has been with PSG College of Technology. She has several publications in national and international journals and conferences. She offers consultancy on machine learning to companies and her subject expertise and interest include data structures and algorithms, algorithm design techniques, machine learning and deep learning.

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