C++實現(xiàn)LeetCode(16.最近三數(shù)之和)

更新時間：2021年07月13日 09:23:40 作者：Grandyang

這篇文章主要介紹了C++實現(xiàn)LeetCode(16.最近三數(shù)之和),本篇文章通過簡要的案例,講解了該項技術的了解與使用,以下就是詳細內容,需要的朋友可以參考下

[LeetCode] 16. 3Sum Closest 最近三數(shù)之和

Given an array nums of n integers and an integer target, find three integers in nums such that the sum is closest to target. Return the sum of the three integers. You may assume that each input would have exactly one solution.

Example:

Given array nums = [-1, 2, 1, -4], and target = 1.

The sum that is closest to the target is 2. (-1 + 2 + 1 = 2).

這道題讓我們求最接近給定值的三數(shù)之和，是在之前那道 3Sum 的基礎上又增加了些許難度，那么這道題讓返回這個最接近于給定值的值，即要保證當前三數(shù)和跟給定值之間的差的絕對值最小，所以需要定義一個變量 diff 用來記錄差的絕對值，然后還是要先將數(shù)組排個序，然后開始遍歷數(shù)組，思路跟那道三數(shù)之和很相似，都是先確定一個數(shù)，然后用兩個指針 left 和 right 來滑動尋找另外兩個數(shù)，每確定兩個數(shù)，求出此三數(shù)之和，然后算和給定值的差的絕對值存在 newDiff 中，然后和 diff 比較并更新 diff 和結果 closest 即可，代碼如下：

解法一：

class Solution {
public:
    int threeSumClosest(vector<int>& nums, int target) {
        int closest = nums[0] + nums[1] + nums[2];
        int diff = abs(closest - target);
        sort(nums.begin(), nums.end());
        for (int i = 0; i < nums.size() - 2; ++i) {
            int left = i + 1, right = nums.size() - 1;
            while (left < right) {
                int sum = nums[i] + nums[left] + nums[right];
                int newDiff = abs(sum - target);
                if (diff > newDiff) {
                    diff = newDiff;
                    closest = sum;
                }
                if (sum < target) ++left;
                else --right;
            }
        }
        return closest;
    }
};

我們還可以稍稍進行一下優(yōu)化，每次判斷一下，當 nums[i]*3 > target 的時候，就可以直接比較 closest 和 nums[i] + nums[i+1] + nums[i+2] 的值，返回較小的那個，因為數(shù)組已經(jīng)排過序了，后面的數(shù)字只會越來越大，就不必再往后比較了，參見代碼如下：

解法二：

class Solution {
public:
    int threeSumClosest(vector<int>& nums, int target) {
        int closest = nums[0] + nums[1] + nums[2];
        int diff = abs(closest - target);
        sort(nums.begin(), nums.end());
        for (int i = 0; i < nums.size() - 2; ++i) {
            if (nums[i] * 3 > target) return min(closest, nums[i] + nums[i + 1] + nums[i + 2]);
            int left = i + 1, right = nums.size() - 1;
            while (left < right) {
                int sum = nums[i] + nums[left] + nums[right];
                int newDiff = abs(sum - target);
                if (diff > newDiff) {
                    diff = newDiff;
                    closest = sum;
                }
                if (sum < target) ++left;
                else --right;
            }
        }
        return closest;
    }
};

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