Given two sets represented by two arrays, how to check if the given two sets are disjoint or not? It may be assumed that the given arrays have no duplicates.

**Difficulty Level:** Rookie

Input: set1[] = {12, 34, 11, 9, 3} set2[] = {2, 1, 3, 5} Output: Not Disjoint 3 is common in two sets. Input: set1[] = {12, 34, 11, 9, 3} set2[] = {7, 2, 1, 5} Output: Yes, Disjoint There is no common element in two sets.

There are plenty of methods to solve this problem, it’s a good test to check how many solutions you can guess.

**Method 1 (Simple)**

Iterate through every element of first set and search it in other set, if any element is found, return false. If no element is found, return tree. Time complexity of this method is O(mn).

Following is C++ implementation of above idea.

Output:

Yes

**Method 2 (Use Sorting and Merging)**

1) Sort first and second sets.

2) Use merge like process to compare elements.

Following is C++ implementation of above idea.

Output:

Yes

Time complexity of above solution is O(mLogm + nLogn).

The above solution first sorts both sets, then takes O(m+n) time to find intersection. If we are given that the input sets are sorted, then this method is best among all.

**Method 3 (Use Sorting and Binary Search)**

This is similar to method 1. Instead of linear search, we use Binary Search.

1) Sort first set.

2) Iterate through every element of second set, and use binary search to search every element in first set. If element is found return it.

Time complexity of this method is O(mLogm + nLogm)

**Method 4 (Use Binary Search Tree)**

1) Create a self balancing binary search tree (Red Black, AVL, Splay, etc) of all elements in first set.

2) Iterate through all elements of second set and search every element in the above constructed Binary Search Tree. If element is found, return false.

3) If all elements are absent, return true.

Time complexity of this method is O(mLogm + nLogm).

**Method 5 (Use Hashing)**

1) Create an empty hash table.

2) Iterate through the first set and store every element in hash table.

3) Iterate through second set and check if any element is present in hash table. If present, then return false, else ignore the element.

4) If all elements of second set are not present in hash table, return true.