Data Structures: How to Essentials

Description

In computer science, a data structure is a particular way of organizing data in a computer so that it can be used efficiently. Data structures can implement one or more particular abstract data types (ADT), which specify the operations that can be performed on a data structure and the computational complexity of those operations. In comparison, a data structure is a concrete implementation of the specification provided by an ADT. Different kinds of data structures are suited to different kinds of applications, and some are highly specialized to specific tasks. For example, relational databases commonly use B-tree indexes for data retrieval, while compiler implementations usually use hash tables to look up identifiers. Data structures provide a means to manage large amounts of data efficiently for uses such as large databases and internet indexing services. Usually, efficient data structures are key to designing efficient algorithms. Some formal design methods and programming languages emphasize data structures, rather than algorithms, as the key organizing factor in software design. Data structures can be used to organize the storage and retrieval of information stored in both main memory and secondary memory. This updated and expanded second edition of Book provides a user-friendly introduction to the subject, Taking a clear structural framework, it guides the reader through the subject's core elements. A flowing writing style combines with the use of illustrations and diagrams throughout the text to ensure the reader understands even the most complex of concepts. This succinct and enlightening overview is a required reading for all those interested in the subject . We hope you find this book useful in shaping your future career & Business.

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Other editions

• 

  Data Structures: Abstraction and Design Using Java

  • 2021-02-03
  • 688 pages
  • Paperback
  • John Wiley & Sons
• 

  Data Structures

  • 2020-12-01
  • 574 pages
  • Ebook
  • Technical Publications
• 

  Data Structures: Study Guide

  • 2018-12-10
  • 324 pages
  • Paperback
  • Hope Books
• 

  Data Structures: Abstraction and Design Using Java

  • 2010-01-26
  • 803 pages
  • Paperback
  • John Wiley & Sons

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