The big omega notation is used to describe the asymptotic efficiency of algorithms.
It is written Ω(f(n))
where n∈N
(sometimes sets other than the set of natural numbers, N
, are used).
The expression Ω(f(n))
is the set of functions
{g(n):∃c,n0∈N, ∀n≥n0, 0≤cf(n)≤g(n)}
.
In plain English, this set is populated by functions that are bounded cf(n)
.
This is known as an asymptotic lower bound.
For set membership, we write h(n)=Ω(f(n))
and not h(n)∈Ω(f(n))
.
A list of expressions and their big omega bounds are given below, and below this list is a graph showing the growth of some functions.
2=Ω(1)
4x+2=Ω(x)
3x2+4x+2=Ω(x2)
T. H. Cormen, C. E. Leiserson, R. L. Rivest, Introduction to Algorithms. MIT Press, 1990.
Copyright © 2014 Barry Watson. All rights reserved.