Average Case Complexity

Average-case complexity measures the expected performance of an algorithm across all possible inputs, rather than just its worst or best scenarios. It provides a more realistic view of how an algorithm will perform in typical situations. For instance, when sorting data, average-case complexity helps us understand how long the sort will take on average, considering a range of possible arrangements of that data. This approach is valuable because it helps developers anticipate real-world performance and make informed choices about which algorithms to use for specific tasks.