COMPUTER SCIENCE ILLUMIN.-TEXT
COMPUTER SCIENCE ILLUMIN.-TEXT
7th Edition
ISBN: 9781284156010
Author: Dale
Publisher: Jones & Barlett
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Chapter 18, Problem 56E

Explanation of Solution

Analogy of bins of complexity measures:

The Big-O notation is also called as order of notation which represents the approximate computing time of the function as a notation in the function.

  • Comparative to the size of the problem, the term in a function increases.
  • The complexity is nothing but the computing time.
  • The highest power in the polynomial represents the Big-O complexity of algorithms.

The order of complexity is thought as bins to sort algorithms.

  • Order of complexity is represented as O (1), O (log2N), O (N), O (N log2N), O (N2), .....

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