#### Post Order Traversal

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m
```package com.thealgorithms.datastructures.trees;

import java.util.*;

/**
* Given tree is traversed in a 'post-order' way: LEFT -> RIGHT -> ROOT.
* Below are given the recursive and iterative implementations.
* <p>
* Complexities:
* Recursive: O(n) - time, O(n) - space, where 'n' is the number of nodes in a tree.
* <p>
* Iterative: O(n) - time, O(h) - space, where 'n' is the number of nodes in a tree
* and 'h' is the height of a binary tree.
* In the worst case 'h' can be O(n) if tree is completely unbalanced, for instance:
* 5
*  \
*   6
*    \
*     7
*      \
*       8
*
* @author Albina Gimaletdinova on 21/02/2023
*/
public class PostOrderTraversal {
public static List<Integer> recursivePostOrder(BinaryTree.Node root) {
List<Integer> result = new ArrayList<>();
recursivePostOrder(root, result);
return result;
}

public static List<Integer> iterativePostOrder(BinaryTree.Node root) {
LinkedList<Integer> result = new LinkedList<>();
if (root == null) {
return result;
}

Deque<BinaryTree.Node> stack = new ArrayDeque<>();
stack.push(root);
while (!stack.isEmpty()) {
BinaryTree.Node node = stack.pop();
result.addFirst(node.data);
if (node.left != null) {
stack.push(node.left);
}
if (node.right != null) {
stack.push(node.right);
}
}

return result;
}

private static void recursivePostOrder(BinaryTree.Node root, List<Integer> result) {
if (root == null) {
return;
}
recursivePostOrder(root.left, result);
recursivePostOrder(root.right, result);
result.add(root.data);
}
}
```