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Insert Interval

Problem Statement:

You are given an array of non-overlapping intervals intervals where intervals[i] = [starti, endi] represent the start and the end of the ith interval and intervals is sorted in ascending order by starti. You are also given an interval newInterval = [start, end] that represents the start and end of another interval.

Insert newInterval into intervals such that intervals is still sorted in ascending order by starti and intervals still does not have any overlapping intervals (merge overlapping intervals if necessary).

Return intervals after the insertion.

Note that you don't need to modify intervals in-place. You can make a new array and return it.

  • Example:

    Example 1:

    Input: intervals = [[1,3],[6,9]], newInterval = [2,5]
    Output: [[1,5],[6,9]]
    Example 2:

    Input: intervals = [[1,2],[3,5],[6,7],[8,10],[12,16]], newInterval = [4,8]
    Output: [[1,2],[3,10],[12,16]]
    Explanation: Because the new interval [4,8] overlaps with [3,5],[6,7],[8,10].


✅ Solution: Merge Intervals (Greedy)

class Solution {
public:
vector<vector<int>> insert(vector<vector<int>>& intervals, vector<int>& newInterval) {
vector<vector<int>> result;
int n = intervals.size();
int i = 0;

// Step 1: Add all intervals ending before newInterval starts
while(i < n && intervals[i][1] < newInterval[0]){
result.push_back(intervals[i]);
i++;
}

// Step 2: Merge overlapping intervals with newInterval
while(i < n && intervals[i][0] <= newInterval[1]){
newInterval[0] = min(newInterval[0], intervals[i][0]);
newInterval[1] = max(newInterval[1], intervals[i][1]);
i++;
}
result.push_back(newInterval); // Add the merged interval

// Step 3: Add remaining intervals
while(i < n){
result.push_back(intervals[i]);
i++;
}

return result;
}
};


📝 How It Works

  • Iterate through the given intervals:
    1. Add all non-overlapping intervals before newInterval.
    2. Merge overlapping intervals by updating the bounds of newInterval.
    3. Add newInterval after merging.
    4. Append remaining intervals as they are.
  • The result is a new list of merged, non-overlapping intervals sorted by start time.

🧩 Key Logic

  • If interval[i][1] < newInterval[0], interval is completely before → keep as is.
  • If interval[i][0] <= newInterval[1], merge using:
    • newInterval[0] = min(newInterval[0], interval[i][0])
    • newInterval[1] = max(newInterval[1], interval[i][1])

⏱️ Time & Space Complexity

MetricValue
TimeO(N)
SpaceO(N) (output)

⚠️ Edge Cases

  • intervals is empty.
  • newInterval doesn’t overlap with any interval.
  • newInterval overlaps all intervals.

💡 Other Approaches

ApproachTimeSpaceNotes
Brute Force + Sort + MergeO(N log N)O(N)Not optimal for sorted input

  • Leetcode 56: Merge Intervals
  • Leetcode 986: Interval List Intersections
  • Leetcode 252: Meeting Rooms

💬

Discussion & Doubts