Here we are going to find the highest cost tree on the graph. To achieve this, we can just reverse each edge's cost to its inverse value so that in the new graph, the minimum spanning tree will be the tree cost the most. Then we just apply Prim algorithm and at last we inverse the sign of total tree cost as answer.

import java.io.*;
import java.util.*;

class Cow implements Comparable<Cow> {

int weight;
int strength;
int sum;

public Cow(int weight, int strength) {
this.weight = weight;
this.strength = strength;
sum = weight + strength;
}
public int compareTo(Cow b) {
return this.sum - b.sum;
}
}

public class CowAcrobats {
private static boolean canMake(Cow[] cows, int risk, int weight) {
for (int i = cows.length - 1; i >= 0; i--) {
while (weight - cows[i].sum > risk) {
if (que.isEmpty()) return false;
else weight -= que.pollFirst().weight;
}
}
return true;
}
private static void solve(Cow[] cows, int weight) {
int l = -1000000000, u = 500000000;
while (l <= u) {
int maxrisk = (l + u) / 2;
if (canMake(cows, maxrisk, weight)) u = maxrisk - 1;
else l = maxrisk + 1;
}
System.out.println(l);
}
public static void main(String[] args) {
Scanner in = new Scanner(System.in);
int N = in.nextInt();
Cow[] cows = new Cow[N];
int weight = 0;
for (int i = 0; i < N; i++) {
cows[i] = new Cow(in.nextInt(), in.nextInt());
weight += cows[i].weight;
}
Arrays.sort(cows);
solve(cows, weight);
}
}