Test instructions
Gives a set of n numbers, a subset of the maximum (the mean-median), the number of elements of the output subset, and the individual elements (in any order).
Analysis
Because it is a subset, it is not necessarily a sequential sequence. Then we have several conclusions.
1. The maximum degree of skewness must be ≥0
Because of an element, the skewness is 0.
2. The maximum skewness subset must have an odd number of elements.
Certificate
If the number of elements is even 2*k when the maximum skewness, we prove that it removes an element a[k+1] will not be worse.
The sequence of the subsets is a[i]. Remove A[k+1] The average of other numbers is AV
New average-old average =av-(av+a[k+1])/2= (av-a[k+1])/2
New median-old median =a[k]-(a[k]+a[k+1])/2= (a[k]-a[k+1])/2
And the old average-the oldest median = (Av+a[k+1])/2-(a[k]+a[k+1])/2= (Av-a[k])/2≥0 (otherwise impossible skewness maximum)
So there is a mean increment-median increment = (av-a[k])/2≥0
So the new skewness will certainly not be worse.
3. The average is incremented and then decremented.
Because it is an odd number, so the enumeration of each number to do the median, if the left and right extension length of J, then to make a greater degree of skewness, we must be left in the left side of the maximum and the number of the largest. So the remaining numbers are getting smaller, the average is growing less, and the current average is getting bigger, and the average is starting to decrease after a certain peak.
So you can use the dichotomy method to take the midpoint and a point next to the midpoint to determine whether the current mean is increasing or decreasing, increasing the right to find, reduce the left to find.
Note: floating-point numbers are not safe to determine size, so they are converted to multiplication. There is another way that I don't quite understand it.
Code
#include <cstdio> #include <algorithm> #define N 200005#define ll long longusing namespace Std;ll a[n],s[n]; int n,ansi=1,ansp;double ans;//The maximum skewness ≥0, so the initial value is only the first element with a skewness of 0. ll sum (int i,int j) {return s[n]-s[n-j]+ s[i]-s[i-j-1];} int main () {scanf ("%d", &n); for (int i=1; i<=n; i++) {scanf ("%i64d", &a[i]); } sort (a+1,a+1+n); for (int i=1; i<=n; i++) {s[i]=s[i-1]+a[i]; } for (int i=2; i<n; i++) {int l=1,r=min (i-1,n-i), m; ll S1,s2; while (L<r) {m=l+ (r-l)/2; S1=sum (i,m) * (2*m+3); S2=sum (i,m+1) * (2*m+1); if (S1>S2) {r=m; } else {l=m+1; if (S1==S2) {break; }}} if (1.0*sum (i,l)/(2*l+1)-a[i]>ans) {ans=1.0*sum (i,l)/(2*l+1)-a[i]; Ansi=i; Ansp=l; }} printf ("%d\n%i64d", Ansp*2+1,a[ansi]); for (int i=1; i<=ansp; i++) {printf ("%i64d%i64d", a[ansi-i],a[n-i+1]); } return 0;}
"Codeforces 626E" simple skewness