aikavaativuuksissa
Aikavaativuuksissa, often translated as "time complexity" in English, is a concept used in computer science to describe the amount of time an algorithm takes to run as a function of the size of its input. It is a crucial factor in evaluating the efficiency of algorithms, especially when dealing with large datasets. Time complexity is not measured in absolute seconds but rather in terms of how the execution time grows with the input size. This growth is typically expressed using Big O notation, which focuses on the dominant term of the growth function and ignores constant factors and lower-order terms.
Common time complexities include O(1) for constant time, where the execution time does not depend on the