Big Java Late Objects
Big Java Late Objects
2nd Edition
ISBN: 9781119330455
Author: Horstmann
Publisher: WILEY
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Chapter 14, Problem 7RE

Explanation of Solution

Order of growth:

  • Order of growth is used to indicate the amount of time taken by a program based on the size of the input that is provided.
  • It is used to indicate how the program will behave as the order of size of the input being increased.
  • It is also known to be a function of size of its input and the function is represented in the form of Big O notation that is in the form “O()”.

Some of the time complexities:

The below are some of the time complexities and they are:

  • Constant running time O(1)
  • Linear running time O(n)
  • Logarithmic running time O(logn)
  • Log-linear running time O(nlogn)
  • Polynomial running time O(nc)
  • Exponential running time O(cn)

Sorting the growth rate from the slowest to fastest:

The below is the sorted order of the growth rates arranged from slowest to fastest:

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Chapter 14 Solutions

Big Java Late Objects

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