We need to prove that in an array representation of heap, the leaves starts at index ⌊n/2⌋+1, ⌊n/2⌋+2 . . .and goes till n, n being the last leaf of the heap.
The heart of merge sort is the merge procedure. Once you understand the merge procedure, understanding merge sort becomes very simple. You can click the links below…
The iterative version of insertion sort was explained here. Check it out, if you have not. In this post, we will analyze the time complexity of iterative insertion sort.
In this lesson, I will show you the program code for selection sort. Selection sort is one of the most easiest sorting algorithm and the codes are start forward. So, let’s get started.
Iterative insertion sort program code was given here. In this post, the recursive insertion sort is given.
The following is the insertion sort algorithm for sorting a array in non-decreasing order and non-increasing order respectively.