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.valare unique. p != qpandqwill 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
pis encountered first, thenpis the answer. - If
qis encountered first, thenqis the answer. - If
rootis between the values ofpandq, it doesn't matter who is bigger or smaller, as long asrootis in the middle, thenrootis the answer. - If
rootis to the left (smaller) of the values ofp~q, thenrootmoves to the right. - If
rootis to the right (bigger) of the values ofp~q, thenrootmoves to the left.
- Time complexity: \(O(n)\);
- Space complexity: \(O(1)\).