Leetcode 918. Maximum Sum Circular Subarray (滑动窗口+单调队列好题)

  1. Maximum Sum Circular Subarray
    Medium

Given a circular integer array nums of length n, return the maximum possible sum of a non-empty subarray of nums.

A circular array means the end of the array connects to the beginning of the array. Formally, the next element of nums[i] is nums[(i + 1) % n] and the previous element of nums[i] is nums[(i - 1 + n) % n].

A subarray may only include each element of the fixed buffer nums at most once. Formally, for a subarray nums[i], nums[i + 1], ..., nums[j], there does not exist i <= k1, k2 <= j with k1 % n == k2 % n.

Example 1:

Input: nums = [1,-2,3,-2]

Output: 3

Explanation: Subarray [3] has maximum sum 3.

Example 2:

Input: nums = [5,-3,5]

Output: 10

Explanation: Subarray [5,5] has maximum sum 5 + 5 = 10.

Example 3:

Input: nums = [-3,-2,-3]

Output: -2

Explanation: Subarray [-2] has maximum sum -2.

Constraints:

n == nums.length

1 <= n <= 3 * 104

-3 * 104 <= nums[i] <= 3 * 104

解法1:

不用滑动窗口和单调队列。实际上我们找连续子数组最大和 与 sum - 连续子数组最小和 之间的最大值就可以了。

cpp 复制代码
class Solution {
public:
    int maxSubarraySumCircular(vector<int>& nums) {
        int sum = 0, currMaxSum = 0, currMinSum = 0;
        int gMaxSum = INT_MIN, gMinSum = INT_MAX;
        for (auto num : nums) {
            sum += num;
            currMaxSum = max(currMaxSum + num, num);
            gMaxSum = max(gMaxSum, currMaxSum);
            currMinSum = min(currMinSum + num, num);
            gMinSum = min(gMinSum, currMinSum);
        }
        //if all negative
        if (gMinSum == sum) return gMaxSum;
        return max(gMaxSum, sum - gMinSum);
    }
};

解法2:滑动窗口 + 单调队列

相关推荐
Live&&learn5 小时前
算法训练-数据结构
数据结构·算法·leetcode
胡萝卜3.06 小时前
掌握C++ map:高效键值对操作指南
开发语言·数据结构·c++·人工智能·map
松岛雾奈.2306 小时前
机器学习--PCA降维算法
人工智能·算法·机器学习
电子_咸鱼6 小时前
【STL string 全解析:接口详解、测试实战与模拟实现】
开发语言·c++·vscode·python·算法·leetcode
sweet丶7 小时前
适合iOS开发的一种缓存策略YYCache库 的原理
算法·架构
是宇写的啊7 小时前
算法—滑动窗口
算法
风筝在晴天搁浅7 小时前
代码随想录 509.斐波那契数
数据结构·算法
落落落sss7 小时前
java实现排序
java·数据结构·算法
fei_sun8 小时前
【数据结构】2018年真题
数据结构
limenga1028 小时前
支持向量机(SVM)深度解析:理解最大间隔原理
算法·机器学习·支持向量机