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2603. Collect Coins in a Tree

Description

There exists an undirected and unrooted tree with n nodes indexed from 0 to n - 1. You are given an integer n and a 2D integer array edges of length n - 1, where edges[i] = [ai, bi] indicates that there is an edge between nodes ai and bi in the tree. You are also given an array coins of size n where coins[i] can be either 0 or 1, where 1 indicates the presence of a coin in the vertex i.

Initially, you choose to start at any vertex in the tree. Then, you can perform the following operations any number of times: 

  • Collect all the coins that are at a distance of at most 2 from the current vertex, or
  • Move to any adjacent vertex in the tree.

Find the minimum number of edges you need to go through to collect all the coins and go back to the initial vertex.

Note that if you pass an edge several times, you need to count it into the answer several times.

 

Example 1:

Input: coins = [1,0,0,0,0,1], edges = [[0,1],[1,2],[2,3],[3,4],[4,5]]
Output: 2
Explanation: Start at vertex 2, collect the coin at vertex 0, move to vertex 3, collect the coin at vertex 5 then move back to vertex 2.

Example 2:

Input: coins = [0,0,0,1,1,0,0,1], edges = [[0,1],[0,2],[1,3],[1,4],[2,5],[5,6],[5,7]]
Output: 2
Explanation: Start at vertex 0, collect the coins at vertices 4 and 3, move to vertex 2,  collect the coin at vertex 7, then move back to vertex 0.

 

Constraints:

  • n == coins.length
  • 1 <= n <= 3 * 104
  • 0 <= coins[i] <= 1
  • edges.length == n - 1
  • edges[i].length == 2
  • 0 <= ai, bi < n
  • ai != bi
  • edges represents a valid tree.

Solutions

Solution 1: Topological sorting

We first convert the edges in $edges$ to the adjacency list $g$, where $g[i]$ represents all the adjacent nodes of node $i$, represented by a set.

Then we traverse all nodes and find the nodes where $coins[i]=0$ and $g[i]$ only has one node (that is, the leaf node where the coin is $0$), and add them to the queue $q$.

Then we continuously remove nodes from the queue and delete them from the adjacent list. Then we check whether the adjacent nodes meet the condition where $coins[j]=0$ and $g[j]$ only has one node. If it meets, we add it to the queue $q$. Loop until the queue is empty.

After the above operation, we get a new tree, and the leaf nodes of the tree are all nodes where the coin is $1$.

Then, we delete the remaining two layers of leaf nodes, and finally get a tree where all nodes need to be visited. We only need to count the number of edges and multiply it by $2$ to get the answer.

The time complexity is $O(n)$ and the space complexity is $O(n)$, where $n$ is the number of nodes.

Similar problems:

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class Solution:
    def collectTheCoins(self, coins: List[int], edges: List[List[int]]) -> int:
        g = defaultdict(set)
        for a, b in edges:
            g[a].add(b)
            g[b].add(a)
        n = len(coins)
        q = deque(i for i in range(n) if len(g[i]) == 1 and coins[i] == 0)
        while q:
            i = q.popleft()
            for j in g[i]:
                g[j].remove(i)
                if coins[j] == 0 and len(g[j]) == 1:
                    q.append(j)
            g[i].clear()
        for k in range(2):
            q = [i for i in range(n) if len(g[i]) == 1]
            for i in q:
                for j in g[i]:
                    g[j].remove(i)
                g[i].clear()
        return sum(len(g[a]) > 0 and len(g[b]) > 0 for a, b in edges) * 2
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class Solution {
    public int collectTheCoins(int[] coins, int[][] edges) {
        int n = coins.length;
        Set<Integer>[] g = new Set[n];
        Arrays.setAll(g, k -> new HashSet<>());
        for (var e : edges) {
            int a = e[0], b = e[1];
            g[a].add(b);
            g[b].add(a);
        }
        Deque<Integer> q = new ArrayDeque<>();
        for (int i = 0; i < n; ++i) {
            if (coins[i] == 0 && g[i].size() == 1) {
                q.offer(i);
            }
        }
        while (!q.isEmpty()) {
            int i = q.poll();
            for (int j : g[i]) {
                g[j].remove(i);
                if (coins[j] == 0 && g[j].size() == 1) {
                    q.offer(j);
                }
            }
            g[i].clear();
        }
        q.clear();
        for (int k = 0;