Algorithm


Problem Name: 1123. Lowest Common Ancestor of Deepest Leaves

Given the root of a binary tree, return the lowest common ancestor of its deepest leaves.

Recall that:

  • The node of a binary tree is a leaf if and only if it has no children
  • The depth of the root of the tree is 0. if the depth of a node is d, the depth of each of its children is d + 1.
  • The lowest common ancestor of a set S of nodes, is the node A with the largest depth such that every node in S is in the subtree with root A.

 

Example 1:

Input: root = [3,5,1,6,2,0,8,null,null,7,4]
Output: [2,7,4]
Explanation: We return the node with value 2, colored in yellow in the diagram.
The nodes coloured in blue are the deepest leaf-nodes of the tree.
Note that nodes 6, 0, and 8 are also leaf nodes, but the depth of them is 2, but the depth of nodes 7 and 4 is 3.

Example 2:

Input: root = [1]
Output: [1]
Explanation: The root is the deepest node in the tree, and it's the lca of itself.

Example 3:

Input: root = [0,1,3,null,2]
Output: [2]
Explanation: The deepest leaf node in the tree is 2, the lca of one node is itself.

 

Constraints:

  • The number of nodes in the tree will be in the range [1, 1000].
  • 0 <= Node.val <= 1000
  • The values of the nodes in the tree are unique.
 

Code Examples

#1 Code Example with Java Programming

Code - Java Programming


class Solution {
  public TreeNode lcaDeepestLeaves(TreeNode root) {
    return dfs(root).node;
  }
  
  private NodeResult dfs(TreeNode root) {
    if (root == null) {
      return new NodeResult(null, 0);
    }
    NodeResult leftResult = dfs(root.left);
    NodeResult rightResult = dfs(root.right);
    if (leftResult.distance > rightResult.distance) {
      return new NodeResult(leftResult.node, leftResult.distance + 1);
    }
    if (leftResult.distance  <  rightResult.distance) {
      return new NodeResult(rightResult.node, rightResult.distance + 1);
    }
    return new NodeResult(root, rightResult.distance + 1);
  }
  
  private static class NodeResult {
    TreeNode node;
    int distance;
    
    public NodeResult(TreeNode node, int distance) {
      this.node = node;
      this.distance = distance;
    }
  }
}
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Input

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root = [3,5,1,6,2,0,8,null,null,7,4]

Output

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[2,7,4]

#2 Code Example with Javascript Programming

Code - Javascript Programming


const lcaDeepestLeaves = function(root) {
  let maxDepth = 0, lcaNode = null

  function lca(node, depth) {
    if(node == null) return depth - 1
    maxDepth = Math.max(depth, maxDepth)
    const left = lca(node.left, depth + 1)
    const right = lca(node.right, depth + 1)
    if(left === maxDepth && right === maxDepth) {
      lcaNode = node
    }
    return Math.max(left, right)
  }

  lca(root, 0)
  return lcaNode
};
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Input

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root = [3,5,1,6,2,0,8,null,null,7,4]

Output

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[2,7,4]

#3 Code Example with Python Programming

Code - Python Programming


class Solution:
    def lcaDeepestLeaves(self, root: TreeNode) -> TreeNode:
        def helper(root):
            if not root:
                return 0, None
            d1, lca1 = helper(root.left)
            d2, lca2 = helper(root.right)
            if d1 > d2:
                node = lca1
            elif d1 < d2:
                node = lca2
            else:
                node = root
            return max(d1, d2) + 1, node
        return helper(root)[1]
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Input

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root = [1]

Output

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[1]

#4 Code Example with C# Programming

Code - C# Programming


using System;

namespace LeetCode
{
    public class _1123_LowestCommonAncestorOfDeepestLeaves
    {
        private int maxDepth = 0;
        private TreeNode result = null;

        public TreeNode LcaDeepestLeaves(TreeNode root)
        {
            Helper(root, 0);
            return result;
        }

        public int Helper(TreeNode node, int level)
        {
            if (node == null)
                return 0;

            int left = Helper(node.left, level + 1);
            int right = Helper(node.right, level + 1);

            if (left == right && level + left >= maxDepth)
            {
                maxDepth = level + left;
                result = node;
            }

            return Math.Max(left, right) + 1;
        }
    }
}
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Input

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root = [1]

Output

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[1]
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