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.
def isBalanced(self, root):
"""
:type root: TreeNode
:rtype: bool
"""
if not root:
return True
factor = abs(self.level(root.left) - self.level(root.right))
return factor < 2 and self.isBalanced(root.right) and self.isBalanced(root.left) def level(self, root):
if not root:
return 0
return max(self.level(root.left), self.level(root.right)) + 1
这里的方法使用了递归,每个subtree会多次计算level。虽然可以通过OJ, 但是可以使用DP提高效率。 建立一个Hash table, root作为key, level函数的值作为value。
d = {}
class Solution(object):
def isBalanced(self, root):
"""
:type root: TreeNode
:rtype: bool
"""
if not root:
return True
factor = abs(self.level(root.left) - self.level(root.right))
return factor < 2 and self.isBalanced(root.left) and self.isBalanced(root.right) def level(self, root):
if not root:
return 0 if root in d:
return d[root]
else:
d[root] = max(self.level(root.left), self.level(root.right)) + 1
return d[root]