# Count of available non-overlapping intervals to be inserted to make interval [0, R]

Given an integer **R** which signifies the range **[0, R]** and two arrays **start[]** and **end[]** of size **N** which signifies the starting and ending intervals in the range [0, R]. The task is to count the number of available non-overlapping intervals which needs to be inserted in the arrays such that on merging the individual ranges in the arrays **start[]** and **end[]**, the merged interval becomes [0, R].

**Examples:**

Input:R = 10, N = 3, start[] = {2, 5, 8}, end[] = {3, 9, 10}

Output:2

Explanation:

The ranges {[2, 3], [5, 10]} are given by the array. In order to make the merged interval to [0, R], the ranges [0, 2] and [3, 5] should be inserted and merged. Therefore, two ranges needs to be inserted into the array.

Input:R = 8, N = 2, start[] = {2, 6}, end[] = {3, 7}

Output:3

Explanation:

The ranges {[2, 3], [6, 7]} are given by the array. In order to make the merged interval to [0, R], the ranges [0, 2], [3, 6] and [7, 8] should be inserted and merged. Therefore, three ranges needs to be inserted into the array.

**Approach:** The idea is to use sorting to solve the problem.

- Initially, both the given arrays are sorted so that used intervals come together.
- Now, the arrays are iterated in a sorted way (i.e.), one pointer would be pointing to start of
**start**and another pointer would be pointing to start of**end**. - If the current start element is smaller, this signifies that a new interval is being looked on and if the current end index is smaller, it signifies that the current interval is being exited.
- In this process, the count of current active intervals are stored. If at any point current active count is 0, then there is an available interval. So, the count of the available interval is incremented.
- In this way, both the arrays are iterated.

Below is the implementation of the above approach:

`// C++ implementation of the above approach ` ` ` `#include <iostream> ` `using` `namespace` `std; ` ` ` `// The following two functions ` `// are used to sort the array. ` `// QuickSort is being implemented in ` `// the following functions ` ` ` `// Function to find the pivot index ` `int` `partiton(` `int` `arr[], ` `int` `l, ` `int` `h) ` `{ ` ` ` `int` `pivot = arr[l]; ` ` ` `int` `i = l + 1; ` ` ` `int` `j = h; ` ` ` ` ` `while` `(i <= j) { ` ` ` ` ` `while` `(i <= h ` ` ` `&& arr[i] < pivot) { ` ` ` `i++; ` ` ` `} ` ` ` ` ` `while` `(j > l ` ` ` `&& arr[j] > pivot) { ` ` ` `j--; ` ` ` `} ` ` ` ` ` `if` `(i < j) { ` ` ` ` ` `int` `temp = arr[i]; ` ` ` `arr[i] = arr[j]; ` ` ` `arr[j] = temp; ` ` ` `i++; ` ` ` `j--; ` ` ` `} ` ` ` `else` ` ` `i++; ` ` ` `} ` ` ` ` ` `arr[l] = arr[j]; ` ` ` `arr[j] = pivot; ` ` ` `return` `j; ` `} ` ` ` `// Function to implement Quick Sort ` `void` `sortArray(` `int` `arr[], ` `int` `l, ` `int` `h) ` `{ ` ` ` `if` `(l >= h) ` ` ` `return` `; ` ` ` ` ` `// Pivot is pointing to pivot index ` ` ` `// before which every element ` ` ` `// is smaller and after pivot, ` ` ` `// every element is greater ` ` ` `int` `pivot = partiton(arr, l, h); ` ` ` ` ` `// Sort the array before pivot element ` ` ` `sortArray(arr, l, pivot - 1); ` ` ` ` ` `// Sort the array after pivot element ` ` ` `sortArray(arr, pivot + 1, h); ` `} ` ` ` `// Function to count the available intervals ` `// from the given range of numbers ` `int` `findMaxIntervals(` `int` `start[], ` `int` `end[], ` ` ` `int` `n, ` `int` `R) ` `{ ` ` ` `int` `ans = 0; ` ` ` `int` `prev = 0; ` ` ` `int` `currActive = 0; ` ` ` `int` `i = 0; ` ` ` `int` `j = 0; ` ` ` ` ` `// If range starts after 0 ` ` ` `// then an interval is available ` ` ` `// from 0 to start[0] ` ` ` `if` `(start[0] > 0) ` ` ` `ans++; ` ` ` ` ` `while` `(i < n && j < n) { ` ` ` `// When a new interval starts ` ` ` `if` `(start[i] < end[j]) { ` ` ` ` ` `// Since index variable i is being ` ` ` `// incremented, the current active ` ` ` `// interval will also get incremented ` ` ` `i++; ` ` ` `currActive++; ` ` ` `} ` ` ` ` ` `// When the current interval ends ` ` ` `else` `if` `(start[i] > end[j]) { ` ` ` ` ` `// Since index variable j is being ` ` ` `// decremented, the currect active ` ` ` `// interval will also get decremented ` ` ` `j++; ` ` ` `currActive--; ` ` ` `} ` ` ` ` ` `// When start and end both are same ` ` ` `// there is no change in currActive ` ` ` `else` `{ ` ` ` `i++; ` ` ` `j++; ` ` ` `} ` ` ` `if` `(currActive == 0) { ` ` ` `ans++; ` ` ` `} ` ` ` `} ` ` ` ` ` `// If the end of interval ` ` ` `// is before the range ` ` ` `// so interval is available ` ` ` `// at the end ` ` ` `if` `(end[n - 1] < R) ` ` ` `ans++; ` ` ` `return` `ans; ` `} ` ` ` `// Driver code ` `int` `main() ` `{ ` ` ` `int` `R, N; ` ` ` `R = 10; ` ` ` `N = 3; ` ` ` `int` `start[N] = { 2, 5, 8 }; ` ` ` `int` `end[N] = { 3, 9, 10 }; ` ` ` ` ` `// Sort the start array ` ` ` `sortArray(start, 0, N - 1); ` ` ` ` ` `// Sort the end array ` ` ` `sortArray(end, 0, N - 1); ` ` ` ` ` `// Calling the function ` ` ` `cout << findMaxIntervals( ` ` ` `start, end, N, R); ` `} ` |

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**Output:**

2

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