Given 'N' number of intervals, where each interval contains two integers denoting the boundaries of the interval. The task is to merge all the overlapping intervals and return the list of merged intervals sorted in ascending order.
Two intervals will be considered to be overlapping if the starting integer of one interval is less than or equal to the finishing integer of another interval, and greater than or equal to the starting integer of that interval.
Example:for the given 5 intervals - [1,4], [3,5], [6,8], [10,12], [8,9].
Since intervals [1,4] and [3,5] overlap with each other, we will merge them into a single interval as [1,5].
Similarly [6,8] and [8,9] overlaps, we merge them into [6,9].
Interval [10,12] does not overlap with any interval.
Final List after merging overlapping intervals: [1,5], [6,9], [10,12]
The first line of input contains an integer 'T' representing the number of the test case. Then the test case follows.
The first line of each test case contains an integer 'N', the number of intervals.
The second line of the test case contains 'N' integers, the starting integer of 'N' intervals.
The third line of the test case contains 'N' integers, the ending integer of 'N' intervals.
Output Format:
For each test case, print 'S' lines, each contains two single space-separated integers 'a', and 'b', where 'S' is the size of the merged array of intervals, 'a' is the start time of an interval and 'b' is the end time of the same interval.
Print the output of each test case in a separate line.
1 <= T <= 100
1 <= N <= 1000
0 <= start, finish <= 10^9
Where 'T' denotes the number of test cases, 'N' denotes the number of intervals respectively, 'start' and 'finish' are the starting and finishing times for intervals.
Time Limit: 1 sec
1
2
1 3
3 5
1 5
Since these two intervals overlap at point 3 so we merge them and the new interval becomes (1,5).
3
5
1 3 6 8 10
4 5 8 9 12
10
1 2 3 1 9 5 11 7 12 14
3 7 5 8 10 11 12 10 12 17
7
1 4 2 5 6 2 8
2 6 7 6 9 11 12
1 5
6 9
10 12
1 12
14 17
1 12
What are the conditions when an interval needs to be merged?
O(N^2), where N is the number of intervals.
In the worst case, for each interval, we will be checking all other intervals. For the N interval, the overall time complexity is O(N^2).
O(N), where N is the number of intervals.
In the worst case, we will be using an extra array of size N to mark intervals visited. Hence, the overall space complexity is O(N).