Given the root nodes p and q of two binary trees, write a function to check whether the two trees are the same.
Two trees are considered identical if they are structurally identical and the nodes have the same value.
Tip:
The number of nodes on both trees is in the range [0, 100]
-104 <= Node.val <= 104
Node definition (java version):
/**
* Definition for a binary tree node.
* public class TreeNode {
* int val;
* TreeNode left;
* TreeNode right;
* TreeNode() {}
* TreeNode(int val) { this.val = val; }
* TreeNode(int val, TreeNode left, TreeNode right) {
* this.val = val;
* this.left = left;
* this.right = right;
* }
* }
*/
Idea 1:
Using the idea of depth-first traversal, two trees are traversed, and the leaf nodes are compared one by one during the traversal process.
class Solution {
public boolean isSameTree(TreeNode p, TreeNode q) {
// 判断为null的情况,两个节点都为null,则返回true,不再遍历
if(p == null && q == null){
return true;
}
// 一个节点为null,则返回false,不再遍历
if(p == null){
return false;
}
if(q == null){
return false;
}
// 如果两个节点都不为null,且两个节点的值不一致,则返回false,不再遍历
if(p.val != q.val){
return false;
}
// 递归遍历两个节点的左节点是否一致,若左节点一致,则再遍历右节点
if(isSameTree(p.left,q.left)){
return isSameTree(p.right, q.right);
}
return false;
}
}
Idea 2:
Using the idea of breadth-first traversal, two trees are traversed, and the leaf nodes are compared one by one during the traversal process.
Breadth-first traversal uses the first-in-first-out feature of the queue to flatten the tree and compare them one by one
class Solution {
public boolean isSameTree(TreeNode p, TreeNode q) {
Queue<TreeNode> queueLeft = new LinkedList();
Queue<TreeNode> queueRight = new LinkedList();
queueLeft.add(p);
queueRight.add(q);
while(!queueLeft.isEmpty() && !queueRight.isEmpty()){
TreeNode l = queueLeft.poll();
TreeNode r = queueRight.poll();
if(l == null && r != null ){
return false;
}
// 注意:两个对比的节点都为null的时候,说明这两个节点相等,还需要排查后续节点,所以是continue
if(l == null && r == null){
continue;
}
if(l != null && r == null){
return false;
}
if(l.val == r.val){
queueLeft.add(l.left);
queueLeft.add(l.right);
queueRight.add(r.left);
queueRight.add(r.right);
continue;
}
return false;
}
return queueLeft.isEmpty() && queueRight.isEmpty();
}
}