LeetCode 0117. Populating Next Right Pointers in Each Node II Solution in Java, Python, C++, JavaScript, Go & Rust | Explanation + Code

CoderIndeed
0
0117. Populating Next Right Pointers in Each Node II

Description

Given a binary tree

struct Node {
  int val;
  Node *left;
  Node *right;
  Node *next;
}

Populate each next pointer to point to its next right node. If there is no next right node, the next pointer should be set to NULL.

Initially, all next pointers are set to NULL.

 

Example 1:

Input: root = [1,2,3,4,5,null,7]
Output: [1,#,2,3,#,4,5,7,#]
Explanation: Given the above binary tree (Figure A), your function should populate each next pointer to point to its next right node, just like in Figure B. The serialized output is in level order as connected by the next pointers, with '#' signifying the end of each level.

Example 2:

Input: root = []
Output: []

 

Constraints:

  • The number of nodes in the tree is in the range [0, 6000].
  • -100 <= Node.val <= 100

 

Follow-up:

  • You may only use constant extra space.
  • The recursive approach is fine. You may assume implicit stack space does not count as extra space for this problem.

Solutions

Solution 1: BFS

We use a queue q for level order traversal. Each time we traverse a level, we connect the nodes of the current level in order.

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

PythonJavaC++GoTypeScriptC#
""" # Definition for a Node. class Node: def __init__(self, val: int = 0, left: 'Node' = None, right: 'Node' = None, next: 'Node' = None): self.val = val self.left = left self.right = right self.next = next """ class Solution: def connect(self, root: "Node") -> "Node": if root is None: return root q = deque([root]) while q: p = None for _ in range(len(q)): node = q.popleft() if p: p.next = node p = node if node.left: q.append(node.left) if node.right: q.append(node.right) return root(code-box)

Solution 2: Space Optimization

The space complexity of Solution 1 is relatively high because it requires a queue to store the nodes of each level. We can implement it with constant space.

We define two pointers prev and next, which point to the previous node and the first node of the next level, respectively. When traversing the nodes of the current level, we string the nodes of the next level together and find the first node of the next level. After the current level is traversed, we assign the first node next of the next level to node and continue to traverse.

The time complexity is O(n), where n is the number of nodes in the binary tree. The space complexity is O(1).

PythonJavaC++GoTypeScriptC#
""" # Definition for a Node. class Node: def __init__(self, val: int = 0, left: 'Node' = None, right: 'Node' = None, next: 'Node' = None): self.val = val self.left = left self.right = right self.next = next """ class Solution: def connect(self, root: 'Node') -> 'Node': def modify(curr): nonlocal prev, next if curr is None: return next = next or curr if prev: prev.next = curr prev = curr node = root while node: prev = next = None while node: modify(node.left) modify(node.right) node = node.next node = next return root(code-box)

Post a Comment

0Comments

Post a Comment (0)

#buttons=(Accept !) #days=(20)

Our website uses cookies to enhance your experience. Check Now
Accept !