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 5For example, the lowest common ancestor (LCA) of nodes
2
and8
is6
. Another example is LCA of nodes2
and4
is2
, since a node can be a descendant of itself according to the LCA definition.
Analysis:
Check for the properties of the BST. If root.val > both p.val and q.val, we know the lca is in the left side, then goto the left subtree. If root.val < both p.val & q.val, then go to right subtree. Otherwise, return root.
Time complexity: O(logn)
Space complexity: O(1)
Code is below:
/** * Definition for a binary tree node. * public class TreeNode { * int val; * TreeNode left; * TreeNode right; * TreeNode(int x) { val = x; } * } */ public class Solution { public TreeNode lowestCommonAncestor(TreeNode root, TreeNode p, TreeNode q) { // O(logn) if (root == null || p == null || q == null) { return null; } if (root.val > p.val && root.val > q.val) { // left sub tree return lowestCommonAncestor(root.left, p, q); } else if (root.val < p.val && root.val < q.val) { // right sub tree return lowestCommonAncestor(root.right, p, q); } else { return root; } } }
Followup:
Given a binary tree, find the lowest common ancestor (LCA) of two given nodes in the tree.
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).”
_______3______ / \ ___5__ ___1__ / \ / \ 6 _2 0 8 / \ 7 4For example, the lowest common ancestor (LCA) of nodes
5
and1
is3
. Another example is LCA of nodes5
and4
is5
, since a node can be a descendant of itself according to the LCA definition.
Analysis:
No properties similar to BST. We can use divide and conquer. Divide the tree to be the left and right. If left & right not null, return root. If left not null, return left, otherwise return right.
Time complexity: O(n)
Space complexity: O(1)
Code is below:
/** * Definition for a binary tree node. * public class TreeNode { * int val; * TreeNode left; * TreeNode right; * TreeNode(int x) { val = x; } * } */ public class Solution { public TreeNode lowestCommonAncestor(TreeNode root, TreeNode p, TreeNode q) { // O(n) if (root == null || root == p || root == q) { return root; } // divide: get the left and right lca TreeNode left = lowestCommonAncestor(root.left, p, q); TreeNode right = lowestCommonAncestor(root.right, p, q); // conquer: check for the left and right // If left and right both exits, then return root if (left != null && right != null) { return root; } if (left != null) { return left; } if (right != null) { return right; } return null; } }