leetcode 110. 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.
Example 1:
Given the following tree [3,9,20,null,null,15,7]
:
3 / \ 9 20 / \ 15 7
Return true.
Example 2:
Given the following tree [1,2,2,3,3,null,null,4,4]
:
1 / \ 2 2 / \ 3 3 / \ 4 4
Return false.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | # Definition for a binary tree node. # class TreeNode: # def __init__(self, x): # self.val = x # self.left = None # self.right = None class Solution: def isBalanced( self , root): """ :type root: TreeNode :rtype: bool """ def helper(node): if not node: return True , 0 l_b, l_h = helper(node.left) r_b, r_h = helper(node.right) if not l_b or not r_b or abs (l_h - r_h) > 1 : return False , max (l_h, r_h) + 1 return True , max (l_h, r_h) + 1 ans, _ = helper(root) return ans |
或者是直接在获取tree高度的时候用一个成员变量来记录是否平衡。
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | # Definition for a binary tree node. # class TreeNode: # def __init__(self, x): # self.val = x # self.left = None # self.right = None class Solution: def isBalanced( self , root): """ :type root: TreeNode :rtype: bool """ self .ans = True def get_depth(node): if not node: return 0 l, r = get_depth(node.left), get_depth(node.right) if abs (l - r) > 1 : self .ans = False return max (l, r) + 1 get_depth(root) return self .ans |
另外的解法就是使用高度是否为-1来标识是否平衡。
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | class solution { public: int dfsHeight (TreeNode * root) { if (root = = NULL) return 0 ; int leftHeight = dfsHeight (root - > left); if (leftHeight = = - 1 ) return - 1 ; int rightHeight = dfsHeight (root - > right); if (rightHeight = = - 1 ) return - 1 ; if ( abs (leftHeight - rightHeight) > 1 ) return - 1 ; return max (leftHeight, rightHeight) + 1 ; } bool isBalanced(TreeNode * root) { return dfsHeight (root) ! = - 1 ; } }; |
最笨的方法就是N^2复杂度的:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | # Definition for a binary tree node. # class TreeNode: # def __init__(self, x): # self.val = x # self.left = None # self.right = None class Solution: # @param {TreeNode} root # @return {boolean} def isBalanced( self , root): if not root: return True return abs ( self .getHeight(root.left) - self .getHeight(root.right)) < 2 and self .isBalanced(root.left) and self .isBalanced(root.right) def getHeight( self , root): if not root: return 0 return 1 + max ( self .getHeight(root.left), self .getHeight(root.right)) |
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