785. Is Graph Bipartite?

Question:

Given an undirected graph, return true if and only if it is bipartite.

Recall that a graph is bipartite if we can split it’s set of nodes into two independent subsets A and B such that every edge in the graph has one node in A and another node in B.

The graph is given in the following form: graph[i] is a list of indexes j for which the edge between nodes i and j exists. Each node is an integer between 0 and graph.length - 1. There are no self edges or parallel edges: graph[i] does not contain i, and it doesn’t contain any element twice.

Example 1:
Input: [[1,3], [0,2], [1,3], [0,2]]
Output: true
Explanation: 
The graph looks like this:
0----1
|    |
|    |
3----2
We can divide the vertices into two groups: {0, 2} and {1, 3}.

Example 2:
Input: [[1,2,3], [0,2], [0,1,3], [0,2]]
Output: false
Explanation: 
The graph looks like this:
0----1
| \  |
|  \ |
3----2
We cannot find a way to divide the set of nodes into two independent subsets.

Note:

  • graph will have length in range [1, 100].
  • graph[i] will contain integers in range [0, graph.length - 1].
  • graph[i] will not contain i or duplicate values.
  • The graph is undirected: if any element j is in graph[i], then i will be in graph[j].

Solution:

  • Method 1: dfs + bopartite
      class Solution {
          private int[][] g;
          private int[] visited;
          public boolean isBipartite(int[][] graph) {
              g = graph;
              visited = new int[graph.length];        
              for(int i = 0; i < graph.length; i++){
                  if(visited[i] == 0){
                      if(!dfs(i, 1))  return false;
                  }
              }
              return true;
          }
          private boolean dfs(int node, int color){
              if(visited[node] == -color) return false;
              else if(visited[node] == color) return true;
              visited[node] = color;
              int[] neighbours = g[node];
              for(Integer neighbour : neighbours){
                  if(!dfs(neighbour, -color)) return false;
              }
              return true;
          }
      }
    
  • Method 2: bfs
      class Solution {
          public boolean isBipartite(int[][] graph) {
              int[] visited = new int[graph.length];
              Queue<Integer> queue = new LinkedList<>();
              for(int i = 0; i < graph.length; i++){
                  if(visited[i] == 0){
                      visited[i] = 1;
                      queue.offer(i);
                      while(!queue.isEmpty()){
                          int cur = queue.poll();
                          for(Integer next : graph[cur]){
                              if(visited[next] == visited[cur]) return false;
                              else if(visited[next] == 0){
                                  visited[next] = -visited[cur];
                                  queue.offer(next);
                              }
                          }
                      }
                  }
              }
              return true;
          }
      }