LEETCODE —— Binary Tree的3 题 —— 3种非Recursive遍历
Binary Tree Preorder Traversal
Given a binary tree, return the preorder traversal of its nodes' values.
For example:
Given binary tree {1,#,2,3},
1
\
2
/
3
return [1,2,3].
Note: Recursive solution is trivial, could you do it iteratively?
'''
Created on Nov 18, 2014 @author: ScottGu<gu.kai.66@gmail.com, 150316990@qq.com>
'''
# Definition for a binary tree node
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None class Solution:
# @param root, a tree node
# @return a list of integers
def preorderTraversal(self, root):
stack=[]
vals=[]
if(root==None): return vals
node=root
stack.append(node)
while(len(stack)!=0):
node=stack.pop()
if(node==None): continue
vals.append(node.val)
stack.append(node.right)
stack.append(node.left) return vals
Binary Tree Inorder Traversal
Given a binary tree, return the inorder traversal of its nodes' values.
For example:
Given binary tree {1,#,2,3},
1
\
2
/
3
return [1,3,2].
Note: Recursive solution is trivial, could you do it iteratively?
confused what "{1,#,2,3}" means? > read more on how binary tree is serialized on OJ.
'''
Created on Nov 18, 2014 @author: ScottGu<gu.kai.66@gmail.com, 150316990@qq.com>
'''
# Definition for a binary tree node
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None class Solution:
# @param root, a tree node
# @return a list of integers
def inorderTraversal(self, root):
stack=[]
vals=[]
visited={}
if(root==None): return vals
node=root
stack.append(node)
visited[node]=1
while(len(stack)!=0):
if(node.left!=None and visited.has_key(node.left)==False):
node=node.left
stack.append(node)
visited[node]=1
else:
node=stack.pop()
if(node==None): continue
vals.append(node.val)
if(node.right!=None):
stack.append(node.right)
node=node.right
return vals
Binary Tree Postorder Traversal
Given a binary tree, return the postorder traversal of its nodes' values.
For example:
Given binary tree {1,#,2,3},
1
\
2
/
3
return [3,2,1].
Note: Recursive solution is trivial, could you do it iteratively?
'''
Created on Nov 19, 2014 @author: ScottGu<gu.kai.66@gmail.com, 150316990@qq.com>
'''
# Definition for a binary tree node
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None class Solution:
# @param root, a tree node
# @return a list of integers
def postorderTraversal(self, root):
visited={}
stack=[]
vals=[]
if(root==None): return vals
node=root stack.append(node)
visited[node]=1 while(len(stack)!=0):
node=stack[-1]
if(node.left !=None and visited.has_key(node.left)==False):
stack.append(node.left)
visited[node.left]=1
continue
else:
if(node.right!=None and visited.has_key(node.right)==False):
stack.append(node.right)
visited[node.right]=1
continue
node=stack.pop()
if(node==None): continue
vals.append(node.val) return vals
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