Data Structures and Program Design Using C++

Data Structures and Program Design Using C++

D. Malhotra, PhD and N. Malhotra
Paperback
January 2019
9781683923701
More details
  • Publisher
    Mercury Learning and Information
  • Published
    17th January 2019
  • ISBN 9781683923701
  • Language English
  • Pages 546 pp.
  • Size 7" x 9"
  •    Request Exam Copy
$79.95
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January 2019
9781683923718
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  • Publisher
    Mercury Learning and Information
  • Published
    3rd January 2019
  • ISBN 9781683923718
  • Language English
  • Pages 546 pp.
  • Size 7" x 9"
  •    Request E-Exam Copy
$79.95
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January 2019
9781683923725
More details
  • Publisher
    Mercury Learning and Information
  • Published
    3rd January 2019
  • ISBN 9781683923725
  • Language English
  • Pages 546 pp.
  • Size 7" x 9"
$179.95

Data structures provide a means to managing large amounts of information such as large databases, using SEO effectively, and creating Internet/Web indexing services. This book is designed to present fundamentals of data structures for beginners using the C++ programming language in a friendly, self-teaching, format. Practical analogies using real world applications are integrated throughout the text to explain technical concepts. The book includes a variety of end-of-chapter practice exercises, e.g., programming, theoretical, and multiple-choice.

Features:

• Covers data structure fundamentals using C++
• Numerous tips, analogies, and practical applications enhance understanding of subjects under discussion
• “Frequently Asked Questions” integrated throughout the text clarify and explain concepts
• Includes a variety of end-of-chapter exercises, e.g., programming, theoretical, and multiple choice

1: Introduction to Data Structures
2: Review of C Fundamentals
3: Arrays
4: Linked List
5: Stacks
Summary
Index

D. Malhotra, PhD

D. Malhotra, PhD is a professor in information technology and has published numerous research articles with international publishers such as ACM, Springer, Elsevier, and IEEE.

N. Malhotra

N. Malhotra’s teaching and research interests include data structures, big data analytics, business intelligence, Java, and distributed programming.