zoukankan      html  css  js  c++  java
  • 0436. Find Right Interval (M)

    Find Right Interval (M)

    题目

    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:

    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:

    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.
    

    题意

    给定一个区间集合S,对于其中的每一个区间s,判断能否在S中找到一个区间t,使得t的左端点大于等于s的右端点。如果能,则找到左端点最小的t。

    思路

    相当于给定两组数,一组为左端点的集合L,另一组为右端点的集合R,对于R中任意一个点a,在L中找到大于等于a的最小点b。使用二分法查找。


    代码实现

    Java

    class Solution {
        public int[] findRightInterval(int[][] intervals) {
            int[] ans = new int[intervals.length];
          
          	// 将左端点抽出来和下标绑定,并排序
            List<int[]> indices = new ArrayList<>();
            for (int i = 0; i < intervals.length; i++) {
                indices.add(new int[] { intervals[i][0], i });
            }
            Collections.sort(indices, (int[] a, int[] b) -> a[0] - b[0]);
          
            for (int i = 0; i < intervals.length; i++) {
                int left = 0, right = indices.size() - 1;
                int target = intervals[i][1];
                while (left < right) {
                    int mid = (right - left) / 2 + left;
                    if (indices.get(mid)[0] < target) {
                        left = mid + 1;
                    } else {
                        right = mid;
                    }
                }
                if (indices.get(left)[0] >= target) {
                    ans[i] = indices.get(left)[1];
                } else {
                    ans[i] = -1;
                }
            }
          
            return ans;
        }
    }
    
  • 相关阅读:
    exchangeNetwork
    VRP OS Management
    filleSystemBasises
    Study_way
    1.MySQL 安装
    7.进程池与线程池
    6.线程
    5.进程 -锁
    4.进程-1
    3.多线程TCP协议与加密方式
  • 原文地址:https://www.cnblogs.com/mapoos/p/13313669.html
Copyright © 2011-2022 走看看