LeetCode1423. Maximum Points You Can Obtain from Cards

文章目录

一、题目

There are several cards arranged in a row, and each card has an associated number of points. The points are given in the integer array cardPoints.

In one step, you can take one card from the beginning or from the end of the row. You have to take exactly k cards.

Your score is the sum of the points of the cards you have taken.

Given the integer array cardPoints and the integer k, return the maximum score you can obtain.

Example 1:

Input: cardPoints = [1,2,3,4,5,6,1], k = 3

Output: 12

Explanation: After the first step, your score will always be 1. However, choosing the rightmost card first will maximize your total score. The optimal strategy is to take the three cards on the right, giving a final score of 1 + 6 + 5 = 12.

Example 2:

Input: cardPoints = [2,2,2], k = 2

Output: 4

Explanation: Regardless of which two cards you take, your score will always be 4.

Example 3:

Input: cardPoints = [9,7,7,9,7,7,9], k = 7

Output: 55

Explanation: You have to take all the cards. Your score is the sum of points of all cards.

Constraints:

1 <= cardPoints.length <= 105

1 <= cardPoints[i] <= 104

1 <= k <= cardPoints.length

二、题解

从前或后取k个元素和最大,转换为剩余n-k个连续窗口的元素和最小。利用滑动窗口求解。

注意accumulate函数cardPoints[i] - cardPoints[i-windowSize]的写法。

cpp 复制代码
class Solution {
public:
    int maxScore(vector<int>& cardPoints, int k) {
        int n = cardPoints.size();
        int windowSize = n - k;
        int totalSum = accumulate(cardPoints.begin(),cardPoints.end(),0);
        int sum = accumulate(cardPoints.begin(),cardPoints.begin()+windowSize,0);
        int minSum = sum;
        for(int i = windowSize;i < n;i++){
            sum += cardPoints[i] - cardPoints[i-windowSize];
            minSum = min(minSum,sum);
        }
        return totalSum - minSum;
    }
};
相关推荐
归去_来兮2 小时前
拉格朗日插值算法原理及简单示例
算法·数据分析·拉格朗日插值
千寻girling9 小时前
Python 是用来做 AI 人工智能 的 , 不适合开发 Web 网站 | 《Web框架》
人工智能·后端·算法
颜酱12 小时前
一步步实现字符串计算器:从「转整数」到「带括号与优化」
javascript·后端·算法
不想写代码的星星13 小时前
std::function 详解:用法、原理与现代 C++ 最佳实践
c++
CoovallyAIHub1 天前
语音AI Agent编排框架!Pipecat斩获10K+ Star,60+集成开箱即用,亚秒级对话延迟接近真人反应速度!
深度学习·算法·计算机视觉
NineData1 天前
数据库管理工具NineData,一年进化成为数万+开发者的首选数据库工具?
运维·数据结构·数据库
木心月转码ing1 天前
Hot100-Day14-T33搜索旋转排序数组
算法
会员源码网1 天前
内存泄漏(如未关闭流、缓存无限增长)
算法
颜酱2 天前
从0到1实现LFU缓存:思路拆解+代码落地
javascript·后端·算法
颜酱2 天前
从0到1实现LRU缓存:思路拆解+代码落地
javascript·后端·算法