226. Invert Binary Tree

[w4irdo]

# 1. recursively

# Definition for a binary tree node.
# class TreeNode:
#     def __init__(self, x):
#         self.val = x
#         self.left = None
#         self.right = None

class Solution:
    def invertTree(self, root: TreeNode) -> TreeNode:
        if root:
            invert = self.invertTree
            root.left, root.right = invert(root.right), invert(root.left)
        return root

# 2. DFS

# Definition for a binary tree node.
# class TreeNode:
#     def __init__(self, x):
#         self.val = x
#         self.left = None
#         self.right = None

class Solution:
    def invertTree(self, root: TreeNode) -> TreeNode:
        stack = [root]
        while stack:
            node = stack.pop()
            if node:
                node.left, node.right = node.right, node.left
                stack.extend([node.right, node.left])
        return root

# 3. BFS

# Definition for a binary tree node.
# class TreeNode:
#     def __init__(self, x):
#         self.val = x
#         self.left = None
#         self.right = None

class Solution:
    def invertTree(self, root: TreeNode) -> TreeNode:
        queue = collections.deque([(root)])
        while queue:
            node = queue.popleft()
            if node:
                node.left, node.right = node.right, node.left
                queue.append(node.left)
                queue.append(node.right)
        return root

• 递归易懂，但实在是太慢。深度优先算法达到超过 99% 的提交。广度优先比深度优先慢点儿，也比递归好。