Big-O notation:

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

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Chapter 4, Problem 32R

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Data structures and algorithms in C++

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