代码随想录算法训练营第二十天 | 235. 二叉搜索树的最近公共祖先、701.二叉搜索树中的插入操作、450.删除二叉搜索树中的节点

235. 二叉搜索树的最近公共祖先

使用二叉搜索树得性质。

# Definition for a binary tree node.
# class TreeNode:
#     def __init__(self, x):
#         self.val = x
#         self.left = None
#         self.right = None

class Solution:
    def lowestCommonAncestor(self, root: 'TreeNode', p: 'TreeNode', q: 'TreeNode') -> 'TreeNode':
        if p.val > q.val:
            p, q = q, p

        if not root:
            return root

        if root.val > q.val:
            return self.lowestCommonAncestor(root.left, p, q)
        elif root.val < p.val:
            return self.lowestCommonAncestor(root.right, p, q)
        else:
            return root

701.二叉搜索树中的插入操作

插入叶子节点。

递归:

# Definition for a binary tree node.
# class TreeNode:
#     def __init__(self, val=0, left=None, right=None):
#         self.val = val
#         self.left = left
#         self.right = right
class Solution:
    def insertIntoBST(self, root: Optional[TreeNode], val: int) -> Optional[TreeNode]:
        if not root:
            return TreeNode(val)
        if root.val > val:
            root.left = self.insertIntoBST(root.left, val)
        else:
            root.right = self.insertIntoBST(root.right, val)
        return root

迭代:

# Definition for a binary tree node.
# class TreeNode:
#     def __init__(self, val=0, left=None, right=None):
#         self.val = val
#         self.left = left
#         self.right = right
class Solution:
    def insertIntoBST(self, root: Optional[TreeNode], val: int) -> Optional[TreeNode]:
        tar = TreeNode(val)
        if not root:
            return tar
        cur = root
        while True:
            if val > cur.val:
                if cur.right:
                    cur = cur.right
                else:
                    cur.right = tar
                    return root
            else:
                if cur.left:
                    cur = cur.left
                else:
                    cur.left = tar
                    return root

450.删除二叉搜索树中的节点

如果要删的节点最多只有1个儿子,直接用这个儿子代替。

如果要删的节点有两个儿子,交换当前节点和他的后继,然后递归。

# Definition for a binary tree node.
# class TreeNode:
#     def __init__(self, val=0, left=None, right=None):
#         self.val = val
#         self.left = left
#         self.right = right
class Solution:
    def deleteNode(self, root: Optional[TreeNode], key: int) -> Optional[TreeNode]:
        if not root:
            return root
        
        if root.val > key:
            root.left =  self.deleteNode(root.left, key)
        elif root.val < key:
            root.right = self.deleteNode(root.right, key)
        else:
            if not root.left and not root.right:
                return None
            elif not root.left and root.right:
                return root.right
            elif root.left and not root.right:
                return root.left
            else:
                cur = root.right
                while cur.left:
                    cur = cur.left
                root.val, cur.val = cur.val, root.val
                root.right = self.deleteNode(root.right, key)
        return root

题解速度更快:把左子树直接放到后继的左子树上即可。

# Definition for a binary tree node.
# class TreeNode:
#     def __init__(self, val=0, left=None, right=None):
#         self.val = val
#         self.left = left
#         self.right = right
class Solution:
    def deleteNode(self, root: Optional[TreeNode], key: int) -> Optional[TreeNode]:
        if not root:
            return root
        
        if root.val > key:
            root.left =  self.deleteNode(root.left, key)
        elif root.val < key:
            root.right = self.deleteNode(root.right, key)
        else:
            if not root.left or not root.right:
                return root.left if root.left else root.right
            else:
                cur = root.right
                while cur.left:
                    cur = cur.left
                cur.left = root.left
                return root.right
        return root

评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值