Data structures and algorithms in C++
Data structures and algorithms in C++
2nd Edition
ISBN: 9780470460443
Author: Goodrich
Publisher: WILEY
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Chapter 4, Problem 24R

Explanation of Solution

Big-O:

A function g(n) is O(f(n)) if there exists a constant c > 0 such that “cf(n) grows faster than g(n) for all n>=n0 , that is, g(n) is O(f(n)) iff for some constants “c” and “n0”, g(n)<=cf(n) for all n>=n0. Here, f(n) denotes upper bound for g(n). The important points for above statements are as follows:

  • “n” is the data set size.
  • f(n) denotes a function that is calculated while taking n as the parameter.
  • O(f(n)) means that curve denoted by f(n) is an upper bound for a function’s need for resources.

Given:

If d(n) is O(f(n)) and e(n) is O(g(n)) then d(n)e(n) is not necessarily of  O(f(n)g(n))

Proof:

Assume that d(n) is O(f(n)), and e(n) is O(g(n))

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