Given a non-overlapping interval list which is sorted by start point.
Insert a new interval into it, make sure the list is still in order and non-overlapping (merge intervals if necessary).
样例
Insert (2, 5) into [(1,2), (5,9)], we get [(1,9)].
Insert (3, 4) into [(1,2), (5,9)], we get [(1,2), (3,4), (5,9)].1
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59package Sort;
import java.util.ArrayList;
class Interval {
int start, end;
Interval(int start, int end) {
this.start = start;
this.end = end;
}
}
class Solution {
/**
* Insert newInterval into intervals.
* @param intervals: Sorted interval list.
* @param newInterval: A new interval.
* @return: A new sorted interval list.
*/
public static void main(String[] args)
{
ArrayList<Interval> list=new ArrayList<Interval>();
list.add(new Interval(1,2));
list.add(new Interval(4,6));
ArrayList<Interval> newlist=insert(list,new Interval(3,5));
for(Interval interval:newlist)
{
System.out.println(interval.start+" "+interval.end);
}
}
private static ArrayList<Interval> insert(ArrayList<Interval> intervals, Interval newInterval) {
ArrayList<Interval> result = new ArrayList<Interval>();
if (intervals == null || intervals.isEmpty()) {
if (newInterval != null) {
result.add(newInterval);
}
return result;
}
int insertPos = 0;
for (Interval interval : intervals) {
if (newInterval.end < interval.start) {
// case 1: [new], [old]
result.add(interval);
} else if (interval.end < newInterval.start) {
// case 2: [old], [new]
result.add(interval);
insertPos++;
} else {
// case 3, 4: [old, new] or [new, old]
newInterval.start = Math.min(newInterval.start, interval.start);
newInterval.end = Math.max(newInterval.end, interval.end);
}
}
result.add(insertPos, newInterval);
return result;
}
}
有四种情况,
遍历intervals的interval
- [N][I] <==>newInterval.end<interval.start,直接插入就好
- [I], [N] <==>newInterval.start>interval.end,记录插入的位置,newInterval有可能在此处插入,也有可能在其后面的间隔插入。故遍历时需要在这种情况下做一些标记以确定最终插入位置。
- [NI] <==> newInterval.end == interval.start,这种情况下需要进行合并操作。
- [IN] <==> newInterval.start == interval.end, 这种情况下也需要进行合并.
难点在于产生了新的间隔,且这种情况一旦发生,原来的newInterval即被新的合并间隔取代,这是一个非常关键的突破口。