思路:

使用动态规划,在经典的最大子段和解法基础上进行扩展。dp[i][j]表示以第i个数为结尾,并且长度模m等于j的所有子段的最大cost。

实现:

 #include <bits/stdc++.h>
using namespace std;
typedef long long ll;
const ll INF = 0x3f3f3f3f3f3f3f3f;
const int N = ;
ll a[N], dp[N][];
int main()
{
int n; ll m, k;
while (cin >> n >> m >> k)
{
memset(dp, , sizeof dp);
for (int i = ; i <= n; i++) cin >> a[i];
ll res = ;
dp[][] = -k;
for (int i = ; i < m; i++) dp[][i] = -INF;
for (int i = ; i <= n; i++)
{
for (int j = ; j < m; j++)
{
if (j == (m == ? : ))
{
dp[i][j] = max(dp[i - ][] + a[i] - k, a[i] - k);
}
else
{
dp[i][j] = max(dp[i - ][(j - + m) % m] + a[i], a[i] - k);
}
res = max(res, dp[i][j]);
}
}
cout << res << endl;
}
return ;
}

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