What is the difference between Θ(n) and O(n)?
Short explanation: If an algorithm is of Θ(g(n)), it means that the running time of the algorithm as n (input size) gets larger is proportional to g(n). If an algorithm is of O(g(n)), it means that the running time of the algorithm as n gets larger is at most proportional to g(n). Normally, even when … Read more