DP template monotonous queue optimization problem.
We consider setting \ (dp_ {i} \) represents the \ (1 \) to \ (I \) can be accurately transmitted information, and the first \ (I \) th beacon signal sent minimum cost.
Difficult to draw transfer equation: \ (dp_ {I} = \ {min_ IM \ Leq J \ I-Leq. 1} \ {dp_j \} a_i + \) ( \ (a_i \) for the first \ (I \) th beacon Taiwan issued a cost signal).
See conditions for transfer: \ (IM \ Leq J \ Leq i - 1 \) , which is actually a sliding window problem.
With a maintenance queue length is monotonic \ (m \) of the sliding window.
The last answer is \ (\ {nm-min_. 1 \ Leq I \ n-Leq} \ {dp_i \} \) .
#include <bits/stdc++.h>
using namespace std;
const int N = 200003;
int n, m, a[N], q[N], hh, tt, ans, dp[N];
int main()
{
cin >> n >> m;
for (int i = 1; i <= n; i+=1) cin >> a[i];
hh = 0, tt = 0; //注意一开始队列中是有元素的
for (int i = 1; i <= n; i+=1) //对于每一个烽火台进行转移
{
while (hh <= tt && q[hh] < i - m) ++hh; //队头是否在区间内
dp[i] = dp[q[hh]] + a[i]; //DP 值转移
while (hh <= tt && dp[q[tt]] >= dp[i]) --tt; //维护队列单调性
q[++tt] = i; //加入队列
}
ans = 2000000007; //答案
for (int i = n - m + 1; i <= n; i+=1)
ans = min(ans, dp[i]); //答案要从 n - m + 1 ~ n 的 DP 值中取最小值
cout << ans << endl;
return 0;
}