AI engineering glossary · Data structures algorithms
What is Big-Omega notation?
Big-Omega notation: A notation giving an asymptotic lower bound on growth: f(n) is Omega(g(n)) if f eventually stays above a constant multiple of g(n). It states how much work an algorithm must do at least, or how much any algorithm for a problem must do.
Big-Omega notation: an example
Any comparison-based sorting method needs Omega(n log n) comparisons in the worst case, so no such method can beat that bound.
Related terms
More Data structures algorithms terms
- Big-Theta notation
- Binary search
- Binary search tree
- Binary tree
- Bipartite graph
- Bloom filter
- Breadth-first search
- Bubble sort
Where you learn it
Big-Omega notation is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.