Given an array nums, there is a sliding window of size k which is moving from the very left of the array to the very right. You can only see thek numbers in the window. Each time the sliding window moves right by one position.
For example,
Given nums = [1,3,-1,-3,5,3,6,7], and k = 3.
Window position 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
Therefore, return the max sliding window as [3,3,5,5,6,7].
#include <iostream>
#include <vector>
#include <queue>
using namespace std;
CORRECT
// first, we can slove it using priority_queue.
<strong>// time complexity: O(nklogk)</strong>
vector<int> maxSlidingWindow(vector<int>& nums, int k) {
int n = nums.size();
vector<int> res;
k = k % n;
priority_queue< int, vector<int>, less<int> > maxHeap;
for(int i = 0; i <= n - k; ++i) {
for(int j = i; j < i + k; ++j) {
maxHeap.push(nums[j]);
}
res.push_back(maxHeap.top());
maxHeap = priority_queue <int>();
}
return res;
}WRONG!! I was thinking to use a queue. but it failed on this test case :[1,3,1,2,0,5] ---> it should output:[3,3,2,5]. but the following code output: [3,3,1,5]
No Idea till now how to make it work.
// we can use a queue to always keep the current max number at the front.
vector<int> maxSlidingWindowII(vector<int>& nums, int k) {
queue<int> maxValues;
vector<int> res;
for(int i = 0; i < k; ++i) {
if(maxValues.empty()) {
maxValues.push(i);
} else {
while(!maxValues.empty()) {
if(nums[i] > nums[maxValues.front()]) {
maxValues.pop();
continue;
} else break;
}
maxValues.push(i);
}
}
res.push_back(nums[maxValues.front()]);
for(int i = k; i < nums.size(); ++i) {
if(maxValues.empty()) {
maxValues.push(i);
} else {
while(!maxValues.empty() && ((i - maxValues.front()) >= k)) maxValues.pop();
while(!maxValues.empty()) {
if(nums[i] > nums[maxValues.front()]) {
maxValues.pop();
} else break;
}
maxValues.push(i);
}
res.push_back(nums[maxValues.front()]);
}
return res;
}
CORRECT! using a fixed size queue and a deque.....
vector<int> maxSlidingWindowIII(vector<int>& nums, int k) {
if(nums.size() == 0) return {};
queue<int> window;
deque<int> maxes;
vector<int> maxValue;
for(int i = 0; i < nums.size(); ++i) {
window.push(nums[i]);
while(!maxes.empty() && (nums[i] > maxes.back())) {
maxes.pop_back();
}
maxes.push_back(nums[i]);
if(window.size() == k) {
maxValue.push_back(maxes.front());
int tmp = window.front();
window.pop();
if(tmp == maxes.front()) {
maxes.pop_front();
}
}
}
return maxValue;
}
int main(void) {
vector<int> nums{1, 3, 1, 2, 0, 5};
vector<int> res = maxSlidingWindowIII(nums, 3);
for(int i = 0; i < res.size(); ++i) {
cout << res[i] << endl;
}
}A fantastic way!!!!
// this is a very fantastic way to solve it!~
/*
given [1, 2, -1, -3, 4, 2, 5, 3], window = 4
minValue [-1, -3, -3, -3, 2, 2]
maxValue [ 2, 2, 4, 4, 5, 5]
*/
/*
cut the array in nums.size() / M segment. For each segment, we traverse from the left, right to get the minValue.
[1, 2, -1, -3, 4, 2, 5, 3]
leftMin:
[1, 1, -1, -3, -3, -3, 5, 3]
rightMin:
[-1, -1, -1, -3, 2, 2, 3, 3]
The final min:
[-1, -3, -3, -3, 2, 2]
leftMax:
[1, 2, 2, -3, 4, 4, 5, 5]
rightMax:
[2, 2, -1, 4, 4, 2, 5, 3]
The final max:
[2, 2, 4, 4, 5, 5]
*/
vector<int> getMinWindow(vector<int>& nums, int window) {
int n = nums.size();
vector<int> leftMin(nums.size(), 0);
vector<int> rightMin(nums.size(), 0);
leftMin[0] = nums[0];
rightMin[n - 1] = nums[n - 1];
for(int i = 0; i < n; ++i) {
leftMin[i] = (i % window == 0) : nums[i] : min(leftMin[i-1], nums[i]);
int j = n - i - 1;
rightMin[j] = (j % window == 0) : nums[j] : min(rightMin[j + 1], nums[j]);
}
vector<int> sliding_window(n - window + 1, 0);
for(int i = 0, j = 0; i + window < n; ++i) {
sliding_window[j++] = min(rightMin[i], leftMin[i + w - 1]);
}
return sliding_window;
}

本文探讨了如何求解滑动窗口中最大值的问题,并提供了几种不同的实现方案,包括使用优先队列、队列和双端队列的方法。通过对比不同方法的时间复杂度,为读者展示了高效解决该问题的途径。
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