Computer Science Illuminated
Computer Science Illuminated
7th Edition
ISBN: 9781284155617
Author: Nell Dale, John Lewis
Publisher: Jones & Bartlett Learning
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Chapter 18, Problem 52E

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Analogy of elephant and goldfish:

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

  • The highest power in the polynomial represents the Big-O complexity of algorithm.
  • For example,
    • Consider the polynomial expression, f(N)=N3+ 50N2+ 10N + 25.
    • In the above expression, f(N) is of order N3, O(N3) in Big-O notation

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