0436. Find Right Interval

436. Find Right Interval #

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.

Note: input types have been changed on April 15, 2019. Please reset to default code definition to get new method signature.

题目大意 #

给定一组区间,对于每一个区间 i,检查是否存在一个区间 j,它的起始点大于或等于区间 i 的终点,这可以称为 j 在 i 的“右侧”。

对于任何区间,你需要存储的满足条件的区间 j 的最小索引,这意味着区间 j 有最小的起始点可以使其成为“右侧”区间。如果区间 j 不存在,则将区间 i 存储为 -1。最后,你需要输出一个值为存储的区间值的数组。

注意:

  • 你可以假设区间的终点总是大于它的起始点。
  • 你可以假定这些区间都不具有相同的起始点。

解题思路 #

  • 给出一个 interval 的 数组,要求找到每个 interval 在它右边第一个 interval 的下标。A 区间在 B 区间的右边:A 区间的左边界的值大于等于 B 区间的右边界。
  • 这一题很明显可以用二分搜索来解答。先将 interval 数组排序,然后针对每个 interval,用二分搜索搜索大于等于 interval 右边界值的 interval。如果找到就把下标存入最终数组中,如果没有找到,把 -1 存入最终数组中。

代码 #


package leetcode

import "sort"

// 解法一 利用系统函数 sort + 二分搜索
func findRightInterval(intervals [][]int) []int {
	intervalList := make(intervalList, len(intervals))
	// 转换成 interval 类型
	for i, v := range intervals {
		intervalList[i] = interval{interval: v, index: i}
	}
	sort.Sort(intervalList)
	out := make([]int, len(intervalList))
	for i := 0; i < len(intervalList); i++ {
		index := sort.Search(len(intervalList), func(p int) bool { return intervalList[p].interval[0] >= intervalList[i].interval[1] })
		if index == len(intervalList) {
			out[intervalList[i].index] = -1
		} else {
			out[intervalList[i].index] = intervalList[index].index
		}
	}
	return out
}

type interval struct {
	interval []int
	index    int
}

type intervalList []interval

func (in intervalList) Len() int { return len(in) }
func (in intervalList) Less(i, j int) bool {
	return in[i].interval[0] <= in[j].interval[0]
}
func (in intervalList) Swap(i, j int) { in[i], in[j] = in[j], in[i] }

// 解法二 手撸 sort + 二分搜索
func findRightInterval1(intervals [][]int) []int {
	if len(intervals) == 0 {
		return []int{}
	}
	intervalsList, res, intervalMap := []Interval{}, []int{}, map[Interval]int{}
	for k, v := range intervals {
		intervalsList = append(intervalsList, Interval{Start: v[0], End: v[1]})
		intervalMap[Interval{Start: v[0], End: v[1]}] = k
	}
	quickSort(intervalsList, 0, len(intervalsList)-1)
	for _, v := range intervals {
		tmp := searchFirstGreaterInterval(intervalsList, v[1])
		if tmp > 0 {
			tmp = intervalMap[intervalsList[tmp]]
		}
		res = append(res, tmp)
	}
	return res
}

func searchFirstGreaterInterval(nums []Interval, target int) int {
	low, high := 0, len(nums)-1
	for low <= high {
		mid := low + ((high - low) >> 1)
		if nums[mid].Start >= target {
			if (mid == 0) || (nums[mid-1].Start < target) { // 找到第一个大于等于 target 的元素
				return mid
			}
			high = mid - 1
		} else {
			low = mid + 1
		}
	}
	return -1
}


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