Given a binary tree, return the inorder traversal of its nodes' values.
Example
Given binary tree {1,#,2,3},
1
\
2
/
3
return [1,3,2].
中序遍历是根左右
- recursion
public class Solution {
/**
* @param root: The root of binary tree.
* @return: Inorder in ArrayList which contains node values.
*/
public ArrayList<Integer> inorderTraversal(TreeNode root) {
// write your code here
ArrayList<Integer> ans = new ArrayList<Integer>();
if (root == null) {
return ans;
}
inorderTraversal(ans, root);
return ans;
}
public void inorderTraversal(ArrayList<Integer> ans, TreeNode root) {
if (root == null) {
return;
}
inorderTraversal(ans, root.left);
ans.add(root.val);
inorderTraversal(ans, root.right);
}
}
- divide and conquer
分治方法一致,只是放结点的顺序改变
public class Solution {
/**
* @param root: The root of binary tree.
* @return: Inorder in ArrayList which contains node values.
*/
public ArrayList<Integer> inorderTraversal(TreeNode root) {
// write your code here
ArrayList<Integer> ans = new ArrayList<Integer>();
if (root == null) {
return ans;
}
ArrayList<Integer> left = inorderTraversal(root.left);
ArrayList<Integer> right = inorderTraversal(root.right);
ans.addAll(left);
ans.add(root.val);
ans.addAll(right);
return ans;
}
}
- non-recursion
public class Solution {
/**
* @param root: The root of binary tree.
* @return: Inorder in ArrayList which contains node values.
*/
public ArrayList<Integer> inorderTraversal(TreeNode root) {
// write your code here
ArrayList<Integer> ans = new ArrayList<Integer>();
Stack<TreeNode> stack = new Stack<TreeNode>();
TreeNode cur = root;
while (cur != null || !stack.isEmpty()) {
while(cur != null) {
stack.add(cur);
cur = cur.left;
}
cur = stack.pop();
ans.add(cur.val);
cur = cur.right;
}
return ans;
}
}