hdu 5248 贪心
题意:
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" alt="" />
链接:点我
二分代价,由于序列是单增的,我们使前面一个数相对取最小,这样后面的数变化的值也能相对较小wa了好多次,发现上限少取了个0
#include<cstdio>
#include<iostream>
#include<algorithm>
#include<cstring>
#include<cmath>
#include<queue>
#include<map>
using namespace std;
#define MOD 1000000007
const int INF=0x3f3f3f3f;
const double eps=1e-;
typedef long long ll;
#define cl(a) memset(a,0,sizeof(a))
#define ts printf("*****\n");
const int MAXN=;
int n,m,tt;
int a[MAXN],b[MAXN];
bool check(int mid)
{
for(int i=;i<=n;i++)
{
b[i]=a[i];
}
for(int i=;i<=n;i++)
{
if(i==)
{
b[i]-=mid;
continue;
}
if(b[i]<=b[i-])
{
if((b[i-]+)-b[i]<=mid)
b[i]=b[i-]+;
else
{
return ;
} }
if(b[i]-mid>b[i-])
{
b[i]=b[i]-mid;
}
else
{
b[i]=b[i-]+;
}
}
return ; }
int main()
{
int i,j,k;
#ifndef ONLINE_JUDGE
freopen("1.in","r",stdin);
#endif
int ca=;
scanf("%d",&tt);
while(tt--)
{
printf("Case #%d:\n",ca++);
scanf("%d",&n);
for(i=;i<=n;i++) scanf("%d",a+i);
int l=;
int r=;
int ans=;
while(l<=r)
{
int mid=(l+r)>>;
if(check(mid))
{
ans=mid;
r=mid-;
}
else
l=mid+;
}
printf("%d\n",ans);
}
}
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