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.

  

原来输入数组中的graph[i],表示顶点i所有相邻的顶点,比如对于例子1来说,顶点0和顶点1,3相连,顶点1和顶点0,2相连,顶点2和结点1,3相连,顶点3和顶点0,2相连。这道题让我们验证给定的图是否是二分图,所谓二分图,就是可以将图中的所有顶点分成两个不相交的集合,使得同一个集合的顶点不相连。为了验证是否有这样的两个不相交的集合存在,我们采用一种很机智的染色法,大体上的思路是要将相连的两个顶点染成不同的颜色,一旦在染的过程中发现有两连的两个顶点已经被染成相同的颜色,说明不是二分图。这里我们使用两种颜色,分别用1和-1来表示,初始时每个顶点用0表示未染色,然后遍历每一个顶点,如果该顶点未被访问过,则调用递归函数,如果返回false,那么说明不是二分图,则直接返回false。如果循环退出后没有返回false,则返回true。在递归函数中,如果当前顶点已经染色,如果该顶点的颜色和将要染的颜色相同,则返回true,否则返回false。如果没被染色,则将当前顶点染色,然后再遍历与该顶点相连的所有的顶点,调用递归函数,如果返回false了,则当前递归函数的返回false,循环结束返回true,参见代码如下:

class Solution {
public boolean isBipartite(int[][] graph) {
if(graph == null){
return false;
}
int v = graph.length;
//if we only have 2 vertices, then it's a Bipartite
if(v <= 2){
return true;
}
int[] colors = new int[v];
for(int i = 0; i < v; i++){
if(colors[i] == 0 && !valid(graph, i, 1, colors)){
return false;
}
}
return true;
} private boolean valid (int[][] graph, int cur, int color, int[] colors){
if(colors[cur] != 0){
return colors[cur] == color;
}
colors[cur] = color;
for(int i : graph[cur]){
if(!valid(graph, i, color * -1, colors)){
return false;
}
}
return true;
}
}

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