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R Data Structures and Algorithms

You're reading from   R Data Structures and Algorithms Increase speed and performance of your applications with effi cient data structures and algorithms

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Product type Paperback
Published in Nov 2016
Publisher Packt
ISBN-13 9781786465153
Length 276 pages
Edition 1st Edition
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Authors (2):
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Achyutuni Sri Krishna Rao Achyutuni Sri Krishna Rao
Author Profile Icon Achyutuni Sri Krishna Rao
Achyutuni Sri Krishna Rao
PKS Prakash PKS Prakash
Author Profile Icon PKS Prakash
PKS Prakash
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Summary

Computational power has been continuously increasing in the last couple of decades, and so does the amount of data captured by different industries. To cope with data size, faster and efficient information retrieval is an eminent requirement.

In this chapter, you were introduced to ADT and data structure. ADT is used to define high-level features and operations representing different data structures, and algorithms are used to implement ADT. A data type should be atomic, traceable, accurate, and have clear and concise characteristic properties for efficiency along with unambiguity. You also learned the basics of R, including data type, conditional loops, control structure, and first class functions.

The computational time taken by an algorithm is most important objective considered while selecting data structures and algorithms. The next chapter will provide the fundamentals for the analysis of algorithms.

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