235.Lowest Common Ancestor of a Binary Search Tree
Tags: [tree], [binary_tree], [binary_search_tree], [BST], [recursion], [extend_function_meaning]
Com: {fb}
Link: https://leetcode.com/problems/lowest-common-ancestor-of-a-binary-search-tree/#/description
Given a binary search tree (BST), find the lowest common ancestor (LCA) of two given nodes in the BST.
According to the definition of LCA on Wikipedia: “The lowest common ancestor is defined between two nodes v and w as the lowest node in T that has both v and w as descendants (where we allow a node to be a descendant of itself).”
_______6______
/ \
___2__ ___8__
/ \ / \
0 _4 7 9
/ \
3 5
For example, the lowest common ancestor (LCA) of nodes2
and8
is6
. Another example is LCA of nodes2
and4
is2
, since a node can be a descendant of itself according to the LCA definition.
Another solution: Using the BST property
# Definition for a binary tree node.
# class TreeNode(object):
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution(object):
def lowestCommonAncestor(self, root, p, q):
"""
:type root: TreeNode
:type p: TreeNode
:type q: TreeNode
:rtype: TreeNode
"""
# base case
if not root:
return None
if min(p.val, q.val) <= root.val <= max(p.val, q.val):
return root
left = self.lowestCommonAncestor(root.left, p, q)
right = self.lowestCommonAncestor(root.right, p, q)
return left if left else right
Note:
- Time complexity = O(n), n is the number of nodes of the given tree, because each node we only visited once.
Solution: Extend Function Meaning
# Definition for a binary tree node.
# class TreeNode(object):
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution(object):
def lowestCommonAncestor(self, root, p, q):
"""
:type root: TreeNode
:type p: TreeNode
:type q: TreeNode
:rtype: TreeNode
"""
# base case
if root in (None, p, q):
return root
left = self.lowestCommonAncestor(root.left, p, q)
right = self.lowestCommonAncestor(root.right, p, q)
if left and right:
return root
return left if left else right
Note:
- Time complexity = O(n), n is the number of nodes of the given tree.