Bessie has a simple undirected graph with vertices labeled $1\dots N$ ($2\le N\le 750$). 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 $1\le i\le N$) 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 $1\le i<j\le N$, you are given an integer $a_{i,j}$ ($0<|a_{i,j}|\le 1000$) such that
Determine the minimum total cost to change the graph so that $[1,2\dots,N]$ is a possible DFS ordering.
The first line contains $N$.
Then $N-1$ lines follow. The $j-1$th line contains $a_{1,j}, a_{2,j}, \dots, a_{j-1,j}$ separated by spaces.
The minimum cost to change the graph so that $[1,2,\dots, N]$ is a possible DFS ordering.