【leetcode】435. Non-overlapping Intervals

本文介绍了解决区间重叠问题的贪心算法。通过排序和遍历区间,删除最少数量的区间以使剩余区间非重叠。适用于编程竞赛和实际问题解决。

题目如下:

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:

  1. You may assume the interval's end point is always bigger than its start point.
  2. 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.

解题思路:本题可以用贪心算法。 首先对 intervals 按start从小到大排序,如果start相同,则按end从小到大。接下来遍历intervals,如果intervals相邻的两个元素有重叠,删除掉end较大的那个,最后intervals中留下来的元素都是不重叠的。

代码如下:

# Definition for an interval.
# class Interval(object):
#     def __init__(self, s=0, e=0):
#         self.start = s
#         self.end = e

class Solution(object):
    def eraseOverlapIntervals(self, intervals):
        """
        :type intervals: List[Interval]
        :rtype: int
        """
        def cmpf(i1,i2):
            if i1.start != i2.start:
                return i1.start - i2.start
            return i1.end - i2.end
        intervals.sort(cmp=cmpf)
        keep = None
        res = 0
        while len(intervals) > 0:
            item = intervals.pop(0)
            if keep == None or keep.end <= item.start:
                keep = item
            elif keep.end <= item.end:
                res += 1
            elif keep.end > item.end:
                keep = item
                res += 1
        return res

 

转载于:https://www.cnblogs.com/seyjs/p/10494587.html

### LeetCode 435重叠区间问题的 C++ 实现 LeetCode435 题名为 **无重叠区间**(Non-overlapping Intervals),其目标是最小化移除区间的量,使得剩下的区间相互重叠。以下是该问题的一种高效解决方法。 #### 解决思路 此问题可以通过贪心算法来求解。核心思想是按照区间的结束时间进行升序排序,并尽可能多地保留那些最早结束的区间[^5]。这样可以为后续的区间留出更多空间,从而减少需要移除的区间目。 具体步骤如下: 1. 对输入的区间列表按 `end` 值从小到大排序。 2. 初始化计器变量用于记录所需删除的区间以及上一个被选中的区间结束位置。 3. 遍历排序后的区间列表,如果当前区间的起始时间大于等于前一选定区间的结束时间,则更新最新结束时间为当前区间的结束时间;否则增加删除并跳过当前区间。 下面是基于上述逻辑编写的 C++ 实现: ```cpp #include <vector> #include <algorithm> using namespace std; class Solution { public: int eraseOverlapIntervals(vector<vector<int>>& intervals) { if (intervals.empty()) return 0; // Sort by end time of each interval. sort(intervals.begin(), intervals.end(), [](const vector<int>& a, const vector<int>& b) -> bool{ return a[1] < b[1]; }); int count = 0; // Number of removed intervals int prevEnd = intervals[0][1]; // End point of the first selected interval for (size_t i = 1; i < intervals.size(); ++i){ if (intervals[i][0] >= prevEnd){ // If no overlap with previous one, update 'prevEnd' prevEnd = intervals[i][1]; } else{ // Overlap exists, increment removal counter but do not change 'prevEnd'. ++count; } } return count; } }; ``` #### 复杂度分析 - 时间复杂度:O(n log n),其中主要开销来自于对区间数组的排序操作。 - 空间复杂度:O(1),除了存储输入据外需要额外的空间资源。
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值