DFS Order

Bessie has a simple undirected graph with vertices labeled 1…N (2≤N≤750). She generates a depth-first search (DFS) order of the graph by calling the function dfs(1), defined by the following C++ code. Each adjacency list (adj[i] for all 1≤i≤N) may be permuted arbitrarily before starting the depth first search, so a graph can have multiple possible DFS orders.

vector<bool> vis(N + 1);
vector<vector<int>> adj(N + 1);  // adjacency list
vector<int> dfs_order;

void dfs(int x) {
    if (vis[x]) return;
    vis[x] = true;
    dfs_order.push_back(x);
    for (int y : adj[x]) dfs(y);
}

You are given the initial state of the graph as well as the cost to change the state of each edge. Specifically, for every pair of vertices (i,j) satisfying 1≤i<j≤N, you are given an integer ai,j​ (0<∣ai,j​∣≤1000) such that

  • If ai,j​>0, edge (i,j) is not currently in the graph, and can be added for cost ai,j​.
  • If ai,j​<0, edge (i,j) is currently in the graph, and can be removed for cost −ai,j​.

Determine the minimum total cost to change the graph so that [1,2…,N] is a possible DFS ordering.

Initially, the graph contains no edges. (1,2),(2,3),(2,4) can be added for a total cost of 1+3+6. The graph now has two possible DFS orderings: [1,2,3,4],[1,2,4,3].

Initially, the graph contains edges (1,2),(2,3),(2,4),(1,5),(2,5),(3,5). Edge (3,5) can be removed for a cost of 5.

Initially, the graph contains edges (1,2),(1,3),(2,4). Edge (2,4) can be removed and edge (1,4) can be added for a total cost of 5+4=9.

SCORING:

  • Inputs 4-9: All ai,j​>0
  • Inputs 10-16: N≤50
  • Inputs 17-23: No additional constraints.

Problem credits: Benjamin Qi

Source: USA Computing Olympiad.

Input Format

The first line contains N.

Then N−1 lines follow. The j−1th line contains a1,j​,a2,j​,…,aj−1,j​ separated by spaces.

Output Format

The minimum cost to change the graph so that [1,2,…,N] is a possible DFS ordering.

Sample Input 1

4 1 2 3 40 6 11

Sample Output 1

10

Sample Input 2

5 -1 10 -2 10 -7 10 -6 -4 -5 10

Sample Output 2

5

Sample Input 3

4 -1 -2 300 4 -5 6

Sample Output 3

9

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