Description:
Given a collection of intervals, find the minimum number of intervals you need to remove to make the rest of the intervals non-overlapping.
Note:
You may assume the interval’s end point is always bigger than its start point.
Intervals like [1,2] and [2,3] have borders “touching” but they don’t overlap each other.
Example 1:
Input: [ [1,2], [2,3], [3,4], [1,3] ]
Output: 1
Explanation: [1,3] can be removed and the rest of intervals are non-overlapping.Example 2:
Input: [ [1,2], [1,2], [1,2] ]
Output: 2
Explanation: You need to remove two [1,2] to make the rest of intervals non-overlapping.Example 3:
Input: [ [1,2], [2,3] ]
Output: 0
Explanation: You don’t need to remove any of the intervals since they’re already non-overlapping.
解題思路及算法分析
題意是要移除重疊區間,結果返回爲移除的最小區間數。本題可用貪心算法解決,以每個元素的end爲關鍵元素排序,end相等的情況下,按start升序排序。本題跟“只有一個場地,要安排儘量多的活動“類似。貪心規則:儘量安排結束時間早的活動。如果後面的活動與已經安排好的兼容,則加入集合。時間複雜度爲O(n).
注意的是排序時調用sort要自定義排序條件
代碼
/**
* Definition for an interval.
* struct Interval {
* int start;
* int end;
* Interval() : start(0), end(0) {}
* Interval(int s, int e) : start(s), end(e) {}
* };
*/
class Solution {
public:
static bool cmp(Interval a, Interval b) {
if (a.end <= b.end) {
if (a.end < b.end) {
return true;
}
return a.start <= b.start;
}
return false;
}
int eraseOverlapIntervals(vector<Interval>& intervals) {
int size = intervals.size();
if(size == 0) {return 0;}
int count = 0;//移除的區間數
sort(intervals.begin(),intervals.end(),cmp);
int g = intervals[0].end;//必須是排完序後的第一個區間
for (int i = 1; i < size; i++) {
if (intervals[i].start < g) {
count++;
} else g = intervals[i].end;
}
return count;
}
};
或者可以將start排序,代碼如下
/**
* Definition for an interval.
* struct Interval {
* int start;
* int end;
* Interval() : start(0), end(0) {}
* Interval(int s, int e) : start(s), end(e) {}
* };
*/
class Solution {
public:
int eraseOverlapIntervals(vector<Interval>& intervals) {
int size = intervals.size();
if(size == 0) return 0;
int count = 0;//移除的區間數
int g = 0;
sort(intervals.begin(),intervals.end(),[](Interval a, Interval b) {
return a.start < b.start;
});
for (int i = 1; i < size; i++) {
if (intervals[i].start < intervals[g].end) {
count++;
if (intervals[i].end < intervals[g].end) g = i;
} else {
g = i;
}
}
return count;
}
};