題目描述
輸入一棵二叉樹,判斷該二叉樹是否是平衡二叉樹。
在這裏,我們只需要考慮其平衡性,不需要考慮其是不是排序二叉樹
思路:
最直接的做法,遍歷每個結點,藉助一個獲取樹深度的遞歸函數,根據該結點的左右子樹高度差判斷是否平衡,然後遞歸地對左右子樹進行判斷。
# -*- coding:utf-8 -*-
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution:
def IsBalanced_Solution(self, pRoot):
# write code here
if pRoot == None:
return True
if abs(self.TreeDepth(pRoot.left)-self.TreeDepth(pRoot.right)) > 1:
return False
return self.IsBalanced_Solution(pRoot.left) and self.IsBalanced_Solution(pRoot.right)
def TreeDepth(self, pRoot):
# write code here
if pRoot == None:
return 0
nLeft = self.TreeDepth(pRoot.left)
nRight = self.TreeDepth(pRoot.right)
return max(nLeft+1,nRight+1)#(nLeft+1 if nLeft > nRight else nRight +1)
這種做法有很明顯的問題,在判斷上層結點的時候,會多次重複遍歷下層結點,增加了不必要的開銷。如果改爲從下往上遍歷,如果子樹是平衡二叉樹,則返回子樹的高度;如果發現子樹不是平衡二叉樹,則直接停止遍歷,這樣至多隻對每個結點訪問一次。
# -*- coding:utf-8 -*-
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution:
res = True
def IsBalanced_Solution(self, pRoot):
# write code here
self.helper(pRoot)
return self.res
def helper(self,root):
if not root:
return 0
if not self.res : return 1
left = 1 + self.helper(root.left)
right = 1 + self.helper(root.right)
if abs(left-right)>1:
self.res = False
return max(left,right)
#不要每個節點都去求一次高度,避免重複
c++
class Solution {
public:
int TreeDepth(TreeNode *pRoot)
{
if (pRoot == NULL)
return 0;
int left = TreeDepth(pRoot->left);
int right = TreeDepth(pRoot->right);
return (left > right) ? (left + 1) : (right + 1);
}
bool IsBalanced_Solution(TreeNode* pRoot) {
if (pRoot == NULL)
return true;
int left = TreeDepth(pRoot->left);
int right = TreeDepth(pRoot->right);
int diff = left - right;
if (diff > 1 || diff < -1)
return false;
return IsBalanced_Solution(pRoot->left) && IsBalanced_Solution(pRoot->right);
}
};