LeetCode----Balanced Binary Tree
2015-10-21 15:01
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Balanced Binary Tree
Given a binary tree, determine if it is height-balanced.
For this problem, a height-balanced binary tree is defined as a binary tree in which the depth of the two subtrees of every node never differ by more than 1.
分析:
判断一棵树是否是平衡二叉树。
使用递归判断,在递归中需要做到两点,第一点,如果当前子树不满足平衡二叉树的性质,而返回False;第二点,如果当前子树满足平衡二叉树,则返回当前子树的高度。
另外,如果树为空,也是平衡二叉树。
代码:
# Definition for a binary tree node.
class TreeNode(object):
def __init__(self, x):
self.val = x
self.left = None
self.right = None
class Solution(object):
def isBalanced(self, root):
"""
:type root: TreeNode
:rtype: bool
"""
isAVL = self.traverse(root)
return True if isAVL else False
def traverse(self, root):
if root:
l_high = self.traverse(root.left)
r_high = self.traverse(root.right)
if not l_high or not r_high:
return False
if abs(l_high - r_high) > 1:
return False
return max(l_high, r_high) + 1
return 1
Given a binary tree, determine if it is height-balanced.
For this problem, a height-balanced binary tree is defined as a binary tree in which the depth of the two subtrees of every node never differ by more than 1.
分析:
判断一棵树是否是平衡二叉树。
使用递归判断,在递归中需要做到两点,第一点,如果当前子树不满足平衡二叉树的性质,而返回False;第二点,如果当前子树满足平衡二叉树,则返回当前子树的高度。
另外,如果树为空,也是平衡二叉树。
代码:
# Definition for a binary tree node.
class TreeNode(object):
def __init__(self, x):
self.val = x
self.left = None
self.right = None
class Solution(object):
def isBalanced(self, root):
"""
:type root: TreeNode
:rtype: bool
"""
isAVL = self.traverse(root)
return True if isAVL else False
def traverse(self, root):
if root:
l_high = self.traverse(root.left)
r_high = self.traverse(root.right)
if not l_high or not r_high:
return False
if abs(l_high - r_high) > 1:
return False
return max(l_high, r_high) + 1
return 1
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