Big Omega notation

Big Omega notation, often represented as Ω, is used in computer science to describe the lower bound of an algorithm's running time. It provides a guarantee that the algorithm will take at least a certain amount of time to complete, regardless of the input size. For example, if an algorithm has a running time of Ω(n), it means that as the input size grows, the time taken will scale at least linearly with the size. This helps in understanding the best-case performance scenarios and offers insights into how efficient an algorithm can be at a minimum.