I know that the both the average and worst case complexity of binary search is O(log n) and I know how to prove the worst case complexity is O(log n) using recurrence relations. But how would I go ...
I want to understand the expected running time and the worse-case expected running time. I got confused when I saw this figure (source), where $I$ is the input and $S$ is the sequence of random ...
Considering this pseudo-code of a bubblesort: ...