144-binary-tree-preorder-traversal

Given the root of a binary tree, return the preorder traversal of its nodes’ values.

Example 1:

Input: root = [1,null,2,3]

Output: [1,2,3]

Explanation:

Example 2:

Input: root = [1,2,3,4,5,null,8,null,null,6,7,9]

Output: [1,2,4,5,6,7,3,8,9]

Explanation:

Example 3:

Input: root = []

Output: []

Example 4:

Input: root = [1]

Output: [1]

Recursion solution：

# Definition for a binary tree node.
# class TreeNode(object):
#     def __init__(self, val=0, left=None, right=None):
#         self.val = val
#         self.left = left
#         self.right = right
class Solution(object):
    def preorderTraversal(self, root):
        """
        :type root: Optional[TreeNode]
        :rtype: List[int]
        """
        res = []
        def dfs(parent):
            if not parent:
                return
            res.append(parent.val)
            dfs(parent.left)
            dfs(parent.right)

        dfs(root)
        return res
        

Iteration solution：

# Definition for a binary tree node.
# class TreeNode(object):
#     def __init__(self, val=0, left=None, right=None):
#         self.val = val
#         self.left = left
#         self.right = right
class Solution(object):
    def preorderTraversal(self, root):
        """
        :type root: Optional[TreeNode]
        :rtype: List[int]
        """
        res = []
        if not root: 
            return res

        stack = [root]
        while stack:
            tmp = stack.pop()
            res.append(tmp.val)
            # preorder is mid -> left -> right, so we append right firstly because this could make left out of stack advance.
            if tmp.right:
                stack.append(tmp.right)
            if tmp.left:
                stack.append(tmp.left)


        return res