Find the maximum value in each round of sliding window

        Given an array nums, a sliding window of size k moves from the leftmost side of the array to the rightmost side of the array. You can only see the k numbers in the sliding window. The sliding window only moves one position to the right at a time.

        Returns the maximum value in the sliding window.

Advanced:

        Can you solve this problem in linear time complexity?

Example:

        Input: nums = [1,3,-1,-3,5,3,6,7], and k = 3
        Output: [3,3,5,5,6,7]
Explanation:

The position of the sliding window Max
[1 3 -1] -3 5 3 6 7 3
1 [3 -1 -3] 5 3 6 7 3
1 3 [-1 -3 5] 3 6 7 5
1 3 -1 [-3 5 3] 6 7 5
1 3 -1 -3 [5 3 6] 7 6
1 3 -1 -3 5 [3 6 7] 7

prompt:

        1 <= nums.length <= 10^5
        -10^4 <= nums[i] <= 10^4
        1 <= k <= nums.length

Solution:
        Use a deque to save the maximum value in the sliding window of each round.
        1. Core code:
//myQueue.cpp

class MonotonicQueue {
    
    
private:
	deque<int> data;

public:
	void push(int n) {
    
    
		while (!data.empty() && data.back() < n) {
    
    
			data.pop_back();
		}
		data.push_back(n);
	}

	int max() {
    
    
		return data.front();
	}

	void pop(int n) {
    
    
		if (!data.empty() && data.front() == n) {
    
    
			data.pop_front();
		}
	}
};


class Solution {
    
    
public:
	vector<int> maxSlidingWindow(vector<int>& nums, int k) {
    
    
		MonotonicQueue window;
		vector<int> res;
		for (int i = 0; i < nums.size(); i++) {
    
    
			if (i < k-1) {
    
    
				window.push(nums[i]);
			}
			else {
    
    
				window.push(nums[i]);
				res.push_back(window.max());
				window.pop(nums[i - k + 1]);
			}
		}
		return res;
	}
};

        2. Test code:
//test.cpp

#include <iostream>
#include <vector>
#include <deque>
using namespace std;

class MonotonicQueue {
    
    
private:
	deque<int> data;

public:
	void push(int n) {
    
    
		while (!data.empty() && data.back() < n) {
    
    
			data.pop_back();
		}
		data.push_back(n);
	}

	int max() {
    
    
		return data.front();
	}

	void pop(int n) {
    
    
		if (!data.empty() && data.front() == n) {
    
    
			data.pop_front();
		}
	}
};

void printVec(vector<int>& nums){
    
    
	for (int i = 0; i < nums.size(); i++) {
    
    
		cout << nums[i];
		if (i != nums.size() - 1) {
    
    
			cout << ",";
		}
	}
	cout << endl;
}


class Solution {
    
    
public:
	vector<int> maxSlidingWindow(vector<int>& nums, int k) {
    
    
		MonotonicQueue window;
		vector<int> res;
		for (int i = 0; i < nums.size(); i++) {
    
    
			if (i < k-1) {
    
    
				window.push(nums[i]);
			}
			else {
    
    
				window.push(nums[i]);
				res.push_back(window.max());
				window.pop(nums[i - k + 1]);
			}
		}
		return res;
	}
};

int main() {
    
    

	Solution sol;
	vector<int> nums = {
    
     1, 3, -1, -3, 5, 3, 6, 7 };
	vector<int> res = sol.maxSlidingWindow(nums, 3);
	printVec(res);


	system("pause");
	return 0;
}

        3. Remarks:
        Source: LeetCode Question Number: 239
        Link: LeetCode Sliding Window No239

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Origin blog.csdn.net/sanqima/article/details/106860679