[LeetCode] 436. Find Right Interval 找右區間 LeetCode All in One 題目講解彙總(持續更新中...)

 

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.html

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.git

Note:github

  1. You may assume the interval's end point is always bigger than its start point.
  2. You may assume none of these intervals have the same start point.

 

Example 1:數組

Input: [ [1,2] ]

Output: [-1]

Explanation: There is only one interval in the collection, so it outputs -1.

 

Example 2:app

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:函數

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.

 

這道題給了咱們一堆區間,讓咱們找每一個區間的最近右區間,要保證右區間的 start 要大於等於當前區間的 end,因爲區間的順序不能變,因此咱們不能給區間排序,咱們須要創建區間的 start 和該區間位置之間的映射,因爲題目中限定了每一個區間的 start 都不一樣,因此不用擔憂一對多的狀況出現。而後咱們把全部的區間的 start 都放到一個數組中,並對這個數組進行降序排序,那麼 start 值大的就在數組前面。而後咱們遍歷區間集合,對於每一個區間,咱們在數組中找第一個小於當前區間的 end 值的位置,若是數組中第一個數就小於當前區間的 end,那麼說明該區間不存在右區間,結果 res 中加入-1;若是找到了第一個小於當前區間 end 的位置,那麼往前推一個就是第一個大於等於當前區間 end 的 start,咱們在 HashMap 中找到該區間的座標加入結果 res 中便可,參見代碼以下:post

 

解法一:ui

class Solution {
public:
    vector<int> findRightInterval(vector<vector<int>>& intervals) {
        vector<int> res, starts;
        unordered_map<int, int> m;
        for (int i = 0; i < intervals.size(); ++i) {
            m[intervals[i][0]] = i;
            starts.push_back(intervals[i][0]);
        }
        sort(starts.rbegin(), starts.rend());
        for (auto interval : intervals) {
            int i = 0;
            for (; i < starts.size(); ++i) {
                if (starts[i] < interval[1]) break;
            }
            res.push_back((i > 0) ? m[starts[i - 1]] : -1);
        }
        return res;
    }
};

 

上面的解法能夠進一步化簡,咱們能夠利用 STL 的 lower_bound 函數來找第一個不小於目標值的位置,這樣也能夠達到咱們的目標,參見代碼以下:url

 

解法二:spa

class Solution {
public:
    vector<int> findRightInterval(vector<vector<int>>& intervals) {
        vector<int> res;
        map<int, int> m;
        for (int i = 0; i < intervals.size(); ++i) {
            m[intervals[i][0]] = i;
        }
        for (auto interval : intervals) {
            auto it = m.lower_bound(interval[1]);
            if (it == m.end()) res.push_back(-1);
            else res.push_back(it->second);
        }
        return res;
    }
};

 

Github 同步地址:

https://github.com/grandyang/leetcode/issues/436

 

相似題目:

Non-overlapping Intervals

Data Stream as Disjoint Intervals 

Insert Interval

Merge Intervals

 

參考資料:

https://leetcode.com/problems/find-right-interval/

https://leetcode.com/problems/find-right-interval/discuss/91819/C%2B%2B-map-solution

https://leetcode.com/problems/find-right-interval/discuss/91789/Java-clear-O(n-logn)-solution-based-on-TreeMap

 

LeetCode All in One 題目講解彙總(持續更新中...)

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