Lowest Common Ancestor of a Binary Search Tree⚓︎
Description⚓︎
Given a binary search tree (BST), find the lowest common ancestor (LCA) node of two given nodes in the BST.
According to the definition of LCA on Wikipedia: “The lowest common ancestor is defined between two nodes p
and q
as the lowest node in T
that has both p
and q
as descendants (where we allow a node to be a descendant of itself).”
Example 1:
- Input:
root = [6,2,8,0,4,7,9,null,null,3,5], p = 2, q = 8
- Output:
6
- Explanation:
The LCA of nodes 2 and 8 is 6.
Example 2:
- Input:
root = [6,2,8,0,4,7,9,null,null,3,5], p = 2, q = 4
- Output:
2
- Explanation:
The LCA of nodes 2 and 4 is 2, since a node can be a descendant of itself according to the LCA definition.
Example 3:
- Input:
root = [2,1], p = 2, q = 1
- Output:
2
Constraints:
- The number of nodes in the tree is in the range
[2, 10^5]
. -10^9 <= Node.val <= 10^9
- All
Node.val
are unique. p != q
p
andq
will exist in the BST.
Solution⚓︎
Recursive Solution⚓︎
- Worst time complexity: \(O(n)\);
- Worst space complexity: \(O(n)\).
Iterative Solution⚓︎
root
go from top to bottom:
- If
p
is encountered first, thenp
is the answer. - If
q
is encountered first, thenq
is the answer. - If
root
is between the values ofp
andq
, it doesn't matter who is bigger or smaller, as long asroot
is in the middle, thenroot
is the answer. - If
root
is to the left (smaller) of the values ofp~q
, thenroot
moves to the right. - If
root
is to the right (bigger) of the values ofp~q
, thenroot
moves to the left.
- Time complexity: \(O(n)\);
- Space complexity: \(O(1)\).