1、算法思路
双端队列方法:队列头部一直都是当前窗内的最大元素下标
deque1为空或队列尾元素大于等于当前元素,入队列;
队列尾元素小于当前元素,弹出队尾元素,确保队列头部是最大元素;
若队列尾索引减去队列头部索引大于k-1,弹出队列头部元素
//暴力方法
vector<int> P_239::maxSlidingWindow(vector<int>& nums, int k)
{
if (nums.empty())
{
return vector<int>();
}
vector<int> res;
for (int i = 0; i < nums.size() - k + 1; i++)
{
int max_val = INT_MIN;
for (int j = i; j < i + k; j++)
{
max_val = max_val < nums[j] ? nums[j] : max_val;
}
res.push_back(max_val);
}
return res;
}
//双端队列
vector<int> P_239::maxSlidingWindow1(vector<int>& nums, int k)
{
deque<int>deque1;
vector<int>res;
for (int i = 0; i < nums.size(); i++)
{
if (deque1.empty() || nums[deque1.back()] >= nums[i]) //队列为空或队列尾比当前元素大
{
deque1.push_back(i);
}
else
{
while (!deque1.empty() && nums[deque1.back()] < nums[i]) //弹出小于当前元素值的下标
{
deque1.pop_back();
}
deque1.push_back(i);
}
if (deque1.back() - deque1.front() + 1 > k) //队列首尾跨度是否超过k
{
deque1.pop_front();
}
if (i >= k - 1)
{
res.push_back(nums[deque1.front()]); //取队列头部为当前窗口最大值
}
}
return res;
}