145. Binary Tree Postorder Traversal
# Hard, DFS
Solution 1: Recursive
// Some code
class Solution {
ArrayList<Integer> res = new ArrayList<>();
public List<Integer> postorderTraversal(TreeNode root) {
if(root == null)
return res;
postorderTraversal(root.left);
postorderTraversal(root.right);
res.add(root.val);
return res;
}
}# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
class Solution:
def traversal(self, root, result):
if root == None:
return
self.traversal(root.left, result)
self.traversal(root.right, result)
result.append(root.val)
def postorderTraversal(self, root: TreeNode) -> List[int]:
# condier edge case
result = []
if root == None:
return result
# regular case
self.traversal(root, result)
return resultSolution 2: Divide & Conquer
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
class Solution:
def postorderTraversal(self, root: TreeNode) -> List[int]:
# consider edge case
result = []
if root == None:
return result
# regular case
# divide
left = self.postorderTraversal(root.left)
right = self.postorderTraversal(root.right)
# conquer
result.extend(left)
result.extend(right)
result.append(root.val)
return resultSolution 3. Iterative(While-loop)
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