Given a set of non-overlapping intervals, insert a new interval into the intervals (merge if necessary).
You may assume that the intervals were initially sorted according to their start times.
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]
NOTE: input types have been changed on April 15, 2019. Please reset to default code definition to get new method signature.
分析:分三步:(1)在无重叠部分,直接给ans赋值,然后接着向后搜索。
(2)在有重叠部分:这时候我们需要得到新区间的前端和后端分别值为多少。新区见的前端值等于intervals该区间前端值和newInterval前端值中的较小者, 新区间后端值等于较大者,并不断后移,找到最大的后端值。
(3)找到新区间之后,将之后剩余的区间直接赋值给ans。
代码:
class Solution {
public int[][] insert(int[][] intervals, int[] newInterval) {
List<int []> ans=new ArrayList<>();
int n=intervals.length;
int curr=0;
while(curr<n && newInterval[0]>intervals[curr][1]){
ans.add(intervals[curr]);
curr++;
}
while(curr<n && intervals[curr][0]<=newInterval[1]){
newInterval[0]=Math.min(newInterval[0],intervals[curr][0]);
newInterval[1]=Math.max(newInterval[1],intervals[curr][1]);
curr++;
}
ans.add(newInterval);
while(curr<n)
{
ans.add(intervals[curr]);
curr++;
}
return ans.toArray(new int[ans.size()][]);
}
}

本文详细解析了在已排序的非重叠区间中插入新区间并进行必要合并的算法。通过两个实例演示了如何处理区间重叠情况,介绍了算法的三步策略:直接赋值无重叠区间、确定重叠区间的边界并合并,以及添加剩余区间。
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