Find if Path Exists in Graph

Problem

There is a bi-directional graph with n vertices, where each vertex is labeled from 0 to n - 1 (inclusive). The edges in the graph are represented as a 2D integer array edges, where each edges[i] = [ui, vi] denotes a bi-directional edge between vertex ui and vertex vi. Every vertex pair is connected by at most one edge, and no vertex has an edge to itself.

You want to determine if there is a valid path that exists from vertex source to vertex destination.

Given edges and the integers n, source, and destination, return true if there is a valid path from source to destination, or false otherwise.

Example 1:

Input: n = 3, edges = [[0,1],[1,2],[2,0]], source = 0, destination = 2
Output: true
Explanation: There are two paths from vertex 0 to vertex 2:

- 0 → 1 → 2
- 0 → 2

Example 2:

Input: n = 6, edges = [[0,1],[0,2],[3,5],[5,4],[4,3]], source = 0, destination = 5
Output: false
Explanation: There is no path from vertex 0 to vertex 5.

Constraints:

  • 1 <= n <= 2 * 105
  • 0 <= edges.length <= 2 * 105
  • edges[i].length == 2
  • 0 <= ui, vi <= n - 1
  • ui != vi
  • 0 <= source, destination <= n - 1
  • There are no duplicate edges.
  • There are no self edges.

Solution

Another Union Find

Disjoint set from memory.

class Solution {
    int[] root;
    int[] rank;
    public boolean validPath(int n, int[][] edges, int source, int destination) {
        root = new int[n];
        rank = new int[n];

        for (int i = 0; i < n; i++) {
            root[i] = i;
            rank[i] = 1;
        }

        for (var e : edges) {
            union(e[0], e[1]);
        }

        return find(source) == find(destination);
    }

    int find(int x) {
        if (root[x] != x) {
            root[x] = find(root[x]);
        }
        return root[x];
    }

    void union(int x, int y) {
        var rootX = find(x);
        var rootY = find(y);
        if (rank[rootX] > rank[rootY]) {
            rootX ^= rootY;
            rootY ^= rootX;
            rootX ^= rootY;
        }
        root[rootX] = rootY;
        rank[rootY] += rank[rootX];
    }
}

Union Find

class Solution {
    int[] root;
    int[] rank;

    public boolean validPath(int n, int[][] edges, int source, int destination) {
        this.rank = new int[n];
        this.root = new int[n];

        for (var i = 0; i < n; i++) {
            this.root[i] = i;
            this.rank[i] = i;
        }

        for (var e : edges) {
            union(e[0], e[1]);
        }

        return find(source) == find(destination);
    }

    public int find(int x) {
        if (root[x] != x) {
            root[x] = find(root[x]);
        }
        return root[x];
    }

    public void union(int x, int y) {
        int rootX = find(x);
        int rootY = find(y);
        if (rootX != rootY) {
            if (rank[rootX] > rank[rootY]) {
                rootX ^= rootY;
                rootY ^= rootX;
                rootX ^= rootY;
            }
            root[rootX] = rootY;
            rank[rootY] += rank[rootX];
        }
    }
}

Iterative DFS

class Solution {
    public boolean validPath(int n, int[][] edges, int source, int destination) {
        var m = new boolean[n][n];
        var visited = new boolean[n];
        for (var e : edges) {
            m[e[0]][e[1]] = true;
            m[e[1]][e[0]] = true;
        }
        return dfs(m, n, source, destination, visited);
    }

    boolean dfs(boolean[][] m, int n, int source, int d, boolean[] visited) {
        var stack = new Stack<Integer>();
        stack.add(source);

        while (!stack.isEmpty()) {
            var s = stack.pop();

            if (s == d) {
                return true;
            }

            visited[s] = true;

            for (var i = 0; i < n; i++) {
                if (m[s][i] && !visited[i]) {
                    stack.add(i);
                }
            }
        }

        return false;
    }
}

DFS

class Solution {
    public boolean validPath(int n, int[][] edges, int source, int destination) {
        var m = new boolean[n][n];
        var visited = new boolean[n];
        for (var e : edges) {
            m[e[0]][e[1]] = true;
            m[e[1]][e[0]] = true;
        }
        return dfs(m, n, source, destination, visited);
    }

    boolean dfs(boolean[][] m, int n, int s, int d, boolean[] visited) {
        if (s == d) {
            return true;
        }

        if (visited[s]) {
            return false;
        } else {
            visited[s] = true;
        }

        // for each edge at this node, call dfs
        for (var i = 0; i < n; i++) {
            if (m[s][i] && dfs(m, n, i, d, visited)) {
                return true;
            }
        }

        return false;
    }
}

Recent posts from blogs that I like

Test iCloud Drive using Cirrus

Problems syncing files with iCloud Drive? Don't just turn it off and back on again. Use Cirrus instead to upload a test file, and check whether syncing that works. Full details.

via The Eclectic Light Company

Concurrent Servers: Part 8 - Go

This is part 8 in a series of posts on writing concurrent network servers. In this part, we'll switch to Go and see how it tackles the challenges described earlier in the series. All posts in the series: Part 1 - Introduction Part 2 - Threads Part 3 - Event-driven Part 4 - libuv Part 5 - Redis case ...

via Eli Bendersky

You should never be angry at work

I try not to give a lot of prescriptive advice about working in tech companies1. There are many ways to be successful, and every company works differently. If you’re shipping projects and your management chain is happy, it doesn’t really matter how you’ve accomplished it. However, there’s one thing ...

via Sean Goedecke