LeetCode 0589. N-ary Tree Preorder Traversal Solution in Java, Python, C++, JavaScript, Go & Rust | Explanation + Code

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0589. N-ary Tree Preorder Traversal

Description

Given the root of an n-ary tree, return the preorder traversal of its nodes' values.

Nary-Tree input serialization is represented in their level order traversal. Each group of children is separated by the null value (See examples)

 

Example 1:

Input: root = [1,null,3,2,4,null,5,6]
Output: [1,3,5,6,2,4]

Example 2:

Input: root = [1,null,2,3,4,5,null,null,6,7,null,8,null,9,10,null,null,11,null,12,null,13,null,null,14]
Output: [1,2,3,6,7,11,14,4,8,12,5,9,13,10]

 

Constraints:

  • The number of nodes in the tree is in the range [0, 104].
  • 0 <= Node.val <= 104
  • The height of the n-ary tree is less than or equal to 1000.

 

Follow up: Recursive solution is trivial, could you do it iteratively?

Solutions

Solution 1: Recursion

We can recursively traverse the entire tree. For each node, we first add the node's value to the answer, then recursively call the function for each of the node's children.

The time complexity is O(n), and the space complexity is O(n). Here, n is the number of nodes.

PythonJavaC++GoTypeScriptC
""" # Definition for a Node. class Node: def __init__(self, val=None, children=None): self.val = val self.children = children """ class Solution: def preorder(self, root: "Node") -> List[int]: def dfs(root): if root is None: return ans.append(root.val) for child in root.children: dfs(child) ans = [] dfs(root) return ans(code-box)

Solution 2: Iteration (Stack Implementation)

We can also solve this problem iteratively.

We use a stack to help us get the pre-order traversal. We first push the root node into the stack. Since the pre-order traversal is root, left subtree, right subtree, and the characteristic of the stack is first in last out, we first add the node's value to the answer, then push each of the node's children into the stack in the order from right to left. We continue this process until the stack is empty.

The time complexity is O(n), and the space complexity is O(n). Here, n is the number of nodes.

PythonJavaC++GoTypeScript
""" # Definition for a Node. class Node: def __init__(self, val=None, children=None): self.val = val self.children = children """ class Solution: def preorder(self, root: 'Node') -> List[int]: ans = [] if root is None: return ans stk = [root] while stk: node = stk.pop() ans.append(node.val) for child in node.children[::-1]: stk.append(child) return ans(code-box)

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