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2368. Reachable Nodes With Restrictions

Description

There is an undirected tree with n nodes labeled from 0 to n - 1 and n - 1 edges.

You are given 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 integer array restricted which represents restricted nodes.

Return the maximum number of nodes you can reach from node 0 without visiting a restricted node.

Note that node 0 will not be a restricted node.

 

Example 1:

Input: n = 7, edges = [[0,1],[1,2],[3,1],[4,0],[0,5],[5,6]], restricted = [4,5]
Output: 4
Explanation: The diagram above shows the tree.
We have that [0,1,2,3] are the only nodes that can be reached from node 0 without visiting a restricted node.

Example 2:

Input: n = 7, edges = [[0,1],[0,2],[0,5],[0,4],[3,2],[6,5]], restricted = [4,2,1]
Output: 3
Explanation: The diagram above shows the tree.
We have that [0,5,6] are the only nodes that can be reached from node 0 without visiting a restricted node.

 

Constraints:

  • 2 <= n <= 105
  • edges.length == n - 1
  • edges[i].length == 2
  • 0 <= ai, bi < n
  • ai != bi
  • edges represents a valid tree.
  • 1 <= restricted.length < n
  • 1 <= restricted[i] < n
  • All the values of restricted are unique.

Solutions

Solution 1: DFS

First, we construct an adjacency list $g$ based on the given edges, where $g[i]$ represents the list of nodes adjacent to node $i$. Then we define a hash table $vis$ to record the restricted nodes or nodes that have been visited, and initially add the restricted nodes to $vis$.

Next, we define a depth-first search function $dfs(i)$, which represents the number of nodes that can be reached starting from node $i$. In the $dfs(i)$ function, we first add node $i$ to $vis$, then traverse the nodes $j$ adjacent to node $i$. If $j$ is not in $vis$, we recursively call $dfs(j)$ and add the return value to the result.

Finally, we return $dfs(0)$.

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

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class Solution:
    def reachableNodes(
        self, n: int, edges: List[List[int]], restricted: List[int]
    ) -> int:
        def dfs(i: int) -> int:
            vis.add(i)
            return 1 + sum(j not in vis and dfs(j) for j in g[i])

        g = defaultdict(list)
        for a, b in edges:
            g[a].append(b)
            g[b].append(a)
        vis = set(restricted)
        return dfs(0)

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class Solution {
    private List<Integer>[] g;
    private boolean[] vis;

    public int reachableNodes(int n, int[][] edges, int[] restricted) {
        g = new List[n];
        vis = new boolean[n];
        Arrays.setAll(g, k -> new ArrayList<>());
        for (var e : edges) {
            int a = e[0], b = e[1];
            g[a].add(b);
            g[b].add(a);
        }
        for (int i : restricted) {
            vis[i] = true;
        }
        return dfs(0);
    }

    private int dfs(int i) {
        vis[i] = true;
        int ans = 1;
        for (int j : g[i]) {
            if (!vis[j]) {
                ans += dfs(j);
            }
        }
        return ans;
    }
}

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class Solution {
public:
    int reachableNodes(int n, vector<vector<int>>& edges, vector<int>& restricted) {
        vector<int> g[n];
        vector<int> vis(n);
        for (auto& e : edges) {
            int a = e[0], b = e[1];
            g[a].emplace_back(b);
            g[b].emplace_back(a);
        }
        for (int i : restricted) {
            vis[i] = true;
        }
        function<int(int)> dfs = [&](int i) {
            vis[i] = true;
            int ans = 1;
            for (int j : g[i]) {
                if (!<