Largest Number At Least Twice of Others

本文探讨了如何在一个整数数组中找到是否有一个元素至少是其他所有元素两倍的问题,并提供了两种不同的解决方案,一种使用排序,另一种则不需要排序。

摘要生成于 C知道 ,由 DeepSeek-R1 满血版支持, 前往体验 >

In a given integer array nums, there is always exactly one largest element.

Find whether the largest element in the array is at least twice as much as every other number in the array.

If it is, return the index of the largest element, otherwise return -1.

Example 1:

Input: nums = [3, 6, 1, 0]
Output: 1
Explanation: 6 is the largest integer, and for every other number in the array x,
6 is more than twice as big as x.  The index of value 6 is 1, so we return 1.

 

Example 2:

Input: nums = [1, 2, 3, 4]
Output: -1
Explanation: 4 isn't at least as big as twice the value of 3, so we return -1.

 

Note:

  1. nums will have a length in the range [1, 50].
  2. Every nums[i] will be an integer in the range [0, 99].

思路还是比较清楚的,比较最大和次大,是否有两倍以上:

 1 class Solution {
 2 public:
 3     int dominantIndex(vector<int>& nums) {
 4         
 5         auto i = max_element(nums.begin(), nums.end());
 6         
 7         sort(nums.begin(), nums.end());
 8         
 9         if(*(nums.end() - 2) == 0 && *(nums.end() - 1) != 0)
10             return i - nums.begin();
11         
12         if( *(nums.end() - 1) / *(nums.end() - 2) >= 2 ? true : false)
13         {
14             return i - nums.begin();
15         }
16         return -1;
17     }
18 };

再贴一个没用到sort的解,摘自discuss:

 1 class Solution {
 2 public:
 3     int dominantIndex(vector<int>& nums) {
 4         int maxn = INT_MIN, idx = -1, sec = INT_MIN;
 5         for (int i = 0; i < nums.size(); i++) {
 6             if (nums[i] > maxn) {
 7                 sec = maxn;
 8                 maxn = nums[i];
 9                 idx = i;
10             } else if(nums[i] > sec){
11                 sec = nums[i];
12             }
13         }
14         return sec * 2 > maxn ? -1 : idx;
15     }
16 };

 

转载于:https://www.cnblogs.com/jiadyang/p/8613007.html

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