A Heap can be imagined as an array visualized as a nearly-completed binary tree. For a given Array A[0..N], any key at index i, can be imagined as a parent with its child nodes at 2i+1 and 2i+2 indexes respectively.
Merge Sort is another Divide and Conquer algorithm similar to Quick Sort, which can help efficiently sort a given set of elements in required order. The algorithm takes a constant O(NlogN) time for all cases, which makes it a bit more efficient than Quick Sort, which sometimes falls above O(NlogN) in worst cases.
Binary Search is a simple and efficient search algorithm that works on a given set of elements to find the occurrence of a target search interest. The prerequisite is that the target set of elements on which it operates should be a sorted set.
Quick Sort is an internal sorting technique which can be used to arrange a given set of unordered dataset into required order. It is the most efficient internal sorting technique, which doesn't use any auxiliary memory and uses a "divide and conquer" approach for its sorting.
In this article, let's try understand what Selection Sort and Insertion Sort work and how they differ from one another.
Time Complexity can be defined as the total amount of time taken by an algorithm to run with respect to the input.
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