Hdu3714-Error Curves(三分)
It's very easy to calculate the minimal error if there is only one test error curve. However, there are several datasets, which means Josephina will obtain many parabolic curves. Josephina wants to get the tuned parameters that make the best performance on all datasets. So she should take all error curves into account, i.e., she has to deal with many quadric functions and make a new error definition to represent the total error. Now, she focuses on the following new function's minimum which related to multiple quadric functions. The new function F(x) is defined as follows: F(x) = max(Si(x)), i = 1...n. The domain of x is [0, 1000]. Si(x) is a quadric function. Josephina wonders the minimum of F(x). Unfortunately, it's too hard for her to solve this problem. As a super programmer, can you help her?#include<cstdio>
#include<cstring>
#include<string>
#include<iostream>
#include<sstream>
#include<algorithm>
#include<utility>
#include<vector>
#include<set>
#include<map>
#include<queue>
#include<cmath>
#include<iterator>
#include<stack>
using namespace std;
const int INF=1e9+;
const double eps=1e-;
const int maxn=;
int N,A[maxn],B[maxn],C[maxn];
double Cal(double mid)
{
double ret=-;
for(int i=;i<N;i++)
{
ret=max(ret,A[i]*mid*mid+B[i]*mid+C[i]);
}
return ret;
}
double solve()
{
double x=,y=,mid,midmid;
int cnt=;
while(cnt--)
{
mid=(x+y)/;
midmid=(mid+y)/;
if(Cal(mid)<Cal(midmid)) y=midmid;
else x=mid;
}
return Cal(x);
}
int main()
{
int T;
scanf("%d",&T);
while(T--)
{
scanf("%d",&N);
for(int i=;i<N;i++) scanf("%d%d%d",&A[i],&B[i],&C[i]);
printf("%.4f\n",solve());
}
return ;
}
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