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day-149.cpp
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day-149.cpp
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/*
Find Right Interval
Given a set of intervals, for each of the interval i, check if there exists an
interval j whose start point is bigger than or equal to the end point of the
interval i, which can be called that j is on the "right" of i.
For any interval i, you need to store the minimum interval j's index, which
means that the interval j has the minimum start point to build the "right"
relationship for interval i. If the interval j doesn't exist, store -1 for the
interval i. Finally, you need output the stored value of each interval as an
array.
Note:
You may assume the interval's end point is always bigger than its start point.
You may assume none of these intervals have the same start point.
Example 1:
Input: [ [1,2] ]
Output: [-1]
Explanation: There is only one interval in the collection, so it outputs -1.
Example 2:
Input: [ [3,4], [2,3], [1,2] ]
Output: [-1, 0, 1]
Explanation: There is no satisfied "right" interval for [3,4].
For [2,3], the interval [3,4] has minimum-"right" start point;
For [1,2], the interval [2,3] has minimum-"right" start point.
Example 3:
Input: [ [1,4], [2,3], [3,4] ]
Output: [-1, 2, -1]
Explanation: There is no satisfied "right" interval for [1,4] and [3,4].
For [2,3], the interval [3,4] has minimum-"right" start point.
NOTE: input types have been changed on April 15, 2019. Please reset to default
code definition to get new method signature.
*/
// Using binary search to solve this. O(NlogN) time complexity
class Solution {
public:
int binarySearch(vector<pair<int, int>>& intervalDS, int target) {
int low = 0;
int high = intervalDS.size() - 1;
if (intervalDS[high].first < target) return -1;
while (low <= high) {
int mid = low + (high - low) / 2;
if (intervalDS[mid].first >= target) {
high = mid - 1;
} else {
low = mid + 1;
}
}
return intervalDS[low].second;
}
vector<int> findRightInterval(vector<vector<int>>& intervals) {
int N = intervals.size();
if (N <= 1) return {-1};
vector<pair<int, int>> intervalDS;
int idx = 0;
for (int idx = 0; idx < N; idx++) {
intervalDS.push_back({intervals[idx][0], idx});
}
sort(intervalDS.begin(), intervalDS.end());
vector<int> answers(N, -1);
for (int idx = 0; idx < N; idx++) {
answers[idx] = binarySearch(intervalDS, intervals[idx][1]);
}
return answers;
}
};