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] = [a_i, b_i] indicates that there is an edge between nodes a_i and b_i 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 <= a_i, b_i < n
a_i != b_i
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.

Solution 2: BFS

Similar to Solution 1, we first construct an adjacency list $g$ based on the given edges, then 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 use breadth-first search to traverse the entire graph and count the number of reachable nodes. We define a queue $q$, initially add node $0$ to $q$, and add node $0$ to $vis$. Then we continuously take out node $i$ from $q$, accumulate the answer, and add the unvisited adjacent nodes of node $i$ to $q$ and $vis$.

After the traversal, we return the answer.

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

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

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

        ans = 0;
        dfs(0);
        return ans;
    }

    private void dfs(int u) {
        if (vis[u]) {
            return;
        }
        ++ans;
        vis[u] = true;
        for (int v : g[u]) {
            dfs(v);
        }
    }
}


// Solution 2
class Solution {
    public int reachableNodes(int n, int[][] edges, int[] restricted) {
        List<Integer>[] g = new List[n];
        boolean[] 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 v : restricted) {
            vis[v] = true;
        }
        Deque<Integer> q = new ArrayDeque<>();
        q.offer(0);
        int ans = 0;
        for (vis[0] = true; !q.isEmpty(); ++ans) {
            int i = q.pollFirst();
            for (int j : g[i]) {
                if (!vis[j]) {
                    q.offer(j);
                    vis[j] = true;
                }
            }
        }
        return ans;
    }
}

class Solution {
public:
    int ans;

    int reachableNodes(int n, vector<vector<int>>& edges, vector<int>& restricted) {
        vector<vector<int>> g(n);
        for (auto& e : edges) {
            int a = e[0], b = e[1];
            g[a].push_back(b);
            g[b].push_back(a);
        }
        vector<bool> vis(n);
        for (int v : restricted) vis[v] = true;
        ans = 0;
        dfs(0, g, vis);
        return ans;
    }

    void dfs(int u, vector<vector<int>>& g, vector<bool>& vis) {
        if (vis[u]) return;
        vis[u] = true;
        ++ans;
        for (int v : g[u]) dfs(v, g, vis);
    }
};


// Solution 2
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;
        }
        queue<int> q{{0}};
        int ans = 0;
        for (vis[0] = true; !q.empty(); ++ans) {
            int i = q.front();
            q.pop();
            for (int j : g[i]) {
                if (!vis[j]) {
                    vis[j] = true;
                    q.push(j);
                }
            }
        }
        return ans;
    }
};

class Solution:
    def reachableNodes(
        self, n: int, edges: List[List[int]], restricted: List[int]
    ) -> int:
        g = defaultdict(list)
        vis = [False] * n
        for v in restricted:
            vis[v] = True
        for a, b in edges:
            g[a].append(b)
            g[b].append(a)

        def dfs(u):
            nonlocal ans
            if vis[u]:
                return
            ans += 1
            vis[u] = True
            for v in g[u]:
                dfs(v)

        ans = 0
        dfs(0)
        return ans


# Solution 2
class Solution:
    def reachableNodes(
        self, n: int, edges: List[List[int]], restricted: List[int]
    ) -> int:
        g = defaultdict(list)
        for a, b in edges:
            g[a].append(b)
            g[b].append(a)
        vis = set(restricted + [0])
        q = deque([0])
        ans = 0
        while q:
            i = q.popleft()
            ans += 1
            for j in g[i]:
                if j not in vis:
                    q.append(j)
                    vis.add(j)
        return ans

func reachableNodes(n int, edges [][]int, restricted []int) int {
	g := make([][]int, n)
	for _, e := range edges {
		a, b := e[0], e[1]
		g[a] = append(g[a], b)
		g[b] = append(g[b], a)
	}
	vis := make([]bool, n)
	for _, v := range restricted {
		vis[v] = true
	}
	ans := 0
	var dfs func(u int)
	dfs = func(u int) {
		if vis[u] {
			return
		}
		vis[u] = true
		ans++
		for _, v := range g[u] {
			dfs(v)
		}
	}
	dfs(0)
	return ans
}


// Solution 2
func reachableNodes(n int, edges [][]int, restricted []int) (ans int) {
	g := make([][]int, n)
	vis := make([]bool, n)
	for _, e := range edges {
		a, b := e[0], e[1]
		g[a] = append(g[a], b)
		g[b] = append(g[b], a)
	}
	for _, i := range restricted {
		vis[i] = true
	}
	q := []int{0}
	for vis[0] = true; len(q) > 0; ans++ {
		i := q[0]
		q = q[1:]
		for _, j := range g[i] {
			if !vis[j] {
				vis[j] = true
				q = append(q, j)
			}
		}
	}
	return
}

function reachableNodes(n: number, edges: number[][], restricted: number[]): number {
    let res = 0;
    const vis = new Array(n).fill(false);
    const map = new Map<number, number[]>();
    for (const [start, end] of edges) {
        map.set(start, [...(map.get(start) ?? []), end]);
        map.set(end, [...(map.get(end) ?? []), start]);
    }
    const dfs = (cur: number) => {
        if (restricted.includes(cur) || vis[cur]) {
            return;
        }
        res++;
        vis[cur] = true;
        for (const item of map.get(cur) ?? []) {
            dfs(item);
        }
    };
    dfs(0);

    return res;
}


// Solution 2
function reachableNodes(n: number, edges: number[][], restricted: number[]): number {
    const vis: boolean[] = Array(n).fill(false);
    const g: number[][] = Array.from({ length: n }, () => []);
    for (const [a, b] of edges) {
        g[a].push(b);
        g[b].push(a);
    }
    for (const i of restricted) {
        vis[i] = true;
    }
    const q: number[] = [0];
    let ans = 0;
    for (vis[0] = true; q.length; ++ans) {
        const i = q.pop()!;
        for (const j of g[i]) {
            if (!vis[j]) {
                vis[j] = true;
                q.push(j);
            }
        }
    }
    return ans;
}

2368 - Reachable Nodes With Restrictions

2368. Reachable Nodes With Restrictions

Description

Solutions

Solution 1: DFS

Solution 2: BFS

All Problems

All Solutions

Welcome to Subscribe On Youtube

2368. Reachable Nodes With Restrictions

Description

Solutions

Solution 1: DFS

Solution 2: BFS

All Problems

All Solutions