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DSA Javaprogramming~20 mins

Lowest Common Ancestor in Binary Tree in DSA Java - Practice Problems & Challenges

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Challenge - 5 Problems
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LCA Mastery
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❓ Predict Output
intermediate
2:00remaining
Output of LCA for given nodes in a binary tree
What is the output of the code when finding the Lowest Common Ancestor (LCA) of nodes 5 and 1 in the given binary tree?
DSA Java
class TreeNode {
    int val;
    TreeNode left, right;
    TreeNode(int x) { val = x; }
}

public class Solution {
    public TreeNode lowestCommonAncestor(TreeNode root, TreeNode p, TreeNode q) {
        if (root == null || root == p || root == q) return root;
        TreeNode left = lowestCommonAncestor(root.left, p, q);
        TreeNode right = lowestCommonAncestor(root.right, p, q);
        if (left != null && right != null) return root;
        return left != null ? left : right;
    }

    public static void main(String[] args) {
        TreeNode root = new TreeNode(3);
        root.left = new TreeNode(5);
        root.right = new TreeNode(1);
        root.left.left = new TreeNode(6);
        root.left.right = new TreeNode(2);
        root.right.left = new TreeNode(0);
        root.right.right = new TreeNode(8);

        Solution sol = new Solution();
        TreeNode lca = sol.lowestCommonAncestor(root, root.left, root.right);
        System.out.println(lca.val);
    }
}
A1
B5
C3
Dnull
Attempts:
2 left
💡 Hint
Think about where the two nodes 5 and 1 meet in the tree.
❓ Predict Output
intermediate
2:00remaining
Output of LCA when one node is ancestor of the other
What is the output of the code when finding the Lowest Common Ancestor (LCA) of nodes 5 and 2 in the given binary tree?
DSA Java
class TreeNode {
    int val;
    TreeNode left, right;
    TreeNode(int x) { val = x; }
}

public class Solution {
    public TreeNode lowestCommonAncestor(TreeNode root, TreeNode p, TreeNode q) {
        if (root == null || root == p || root == q) return root;
        TreeNode left = lowestCommonAncestor(root.left, p, q);
        TreeNode right = lowestCommonAncestor(root.right, p, q);
        if (left != null && right != null) return root;
        return left != null ? left : right;
    }

    public static void main(String[] args) {
        TreeNode root = new TreeNode(3);
        root.left = new TreeNode(5);
        root.right = new TreeNode(1);
        root.left.left = new TreeNode(6);
        root.left.right = new TreeNode(2);
        root.right.left = new TreeNode(0);
        root.right.right = new TreeNode(8);

        Solution sol = new Solution();
        TreeNode lca = sol.lowestCommonAncestor(root, root.left, root.left.right);
        System.out.println(lca.val);
    }
}
A5
B2
C3
Dnull
Attempts:
2 left
💡 Hint
If one node is ancestor of the other, the ancestor is the LCA.
🔧 Debug
advanced
2:00remaining
Identify the error in LCA implementation
What error will this code produce when trying to find the LCA of nodes 5 and 1?
DSA Java
class TreeNode {
    int val;
    TreeNode left, right;
    TreeNode(int x) { val = x; }
}

public class Solution {
    public TreeNode lowestCommonAncestor(TreeNode root, TreeNode p, TreeNode q) {
        if (root == null) return null;
        if (root == p) return root;
        if (root == q) return root;
        TreeNode left = lowestCommonAncestor(root.left, p, q);
        TreeNode right = lowestCommonAncestor(root.right, p, q);
        if (left != null && right != null) return root;
        return left != null ? left : right;
    }

    public static void main(String[] args) {
        TreeNode root = new TreeNode(3);
        root.left = new TreeNode(5);
        root.right = new TreeNode(1);
        root.left.left = new TreeNode(6);
        root.left.right = new TreeNode(2);
        root.right.left = new TreeNode(0);
        root.right.right = new TreeNode(8);

        Solution sol = new Solution();
        TreeNode lca = sol.lowestCommonAncestor(root, new TreeNode(5), new TreeNode(1));
        System.out.println(lca.val);
    }
}
APrints 3 correctly
BCompilation error
CPrints 5 incorrectly
DNullPointerException
Attempts:
2 left
💡 Hint
Check how nodes p and q are compared with root.
🧠 Conceptual
advanced
2:00remaining
Understanding LCA when nodes are not in the tree
If one or both nodes are not present in the binary tree, what will the LCA function return?
AReturns one of the nodes even if not in tree
BReturns null
CThrows an exception
DReturns root of the tree
Attempts:
2 left
💡 Hint
Think about what happens if recursive calls never find the nodes.
🚀 Application
expert
2:00remaining
Find LCA in a binary tree with parent pointers
Given a binary tree where each node has a pointer to its parent, which approach is the most efficient to find the LCA of two nodes p and q?
ATraverse ancestors of p and q upwards, store visited nodes, and find first common ancestor
BPerform BFS from root to find paths to p and q, then compare paths
CUse recursive calls from root to find LCA as usual
DConvert tree to array and find LCA using array indices
Attempts:
2 left
💡 Hint
Parent pointers allow moving up the tree easily.

Practice

(1/5)
1. What is the Lowest Common Ancestor (LCA) of two nodes in a binary tree?
easy
A. The node that is a child of both nodes
B. The deepest node that is an ancestor of both nodes
C. The node with the smallest value between the two nodes
D. The root node of the binary tree

Solution

  1. Step 1: Understand the definition of LCA

    The Lowest Common Ancestor is the deepest node in the tree that has both given nodes as descendants (a node can be a descendant of itself).
  2. Step 2: Clarify the options

    The deepest node that is an ancestor of both nodes correctly describes the LCA. The root node is not always the LCA, and the smallest value or child relationships do not define LCA.
  3. Final Answer:

    The deepest node that is an ancestor of both nodes -> Option B
  4. Quick Check:

    LCA = deepest common ancestor [OK]
Hint: LCA is the deepest shared ancestor node [OK]
Common Mistakes:
  • Confusing LCA with root node
  • Thinking LCA is the smaller value node
  • Assuming LCA is a child of given nodes
2. Which of the following is the correct Java method signature to find the LCA of two nodes in a binary tree?
easy
A. public void findLCA(TreeNode root, int n1, int n2)
B. public int findLCA(int root, TreeNode n1, TreeNode n2)
C. public TreeNode findLCA(int n1, int n2)
D. public TreeNode findLCA(TreeNode root, int n1, int n2)

Solution

  1. Step 1: Analyze method parameters and return type

    The method should take the root node and two node values (or nodes) to find their LCA. It returns the TreeNode representing the LCA.
  2. Step 2: Match with options

    public TreeNode findLCA(TreeNode root, int n1, int n2) matches this: it takes root and two integers, returns TreeNode. public int findLCA(int root, TreeNode n1, TreeNode n2) has wrong parameter types, C misses root, D returns void which is incorrect.
  3. Final Answer:

    public TreeNode findLCA(TreeNode root, int n1, int n2) -> Option D
  4. Quick Check:

    Correct signature includes root and returns TreeNode [OK]
Hint: LCA method needs root and two nodes, returns TreeNode [OK]
Common Mistakes:
  • Omitting root parameter
  • Wrong return type (void or int)
  • Incorrect parameter order or types
3. Given the following binary tree and code snippet, what will be the output?
    3
   / \
  5   1
 / \ / \
6  2 0  8
  / \
 7   4

TreeNode lca = findLCA(root, 5, 1);
System.out.println(lca.val);
medium
A. 3
B. 5
C. 1
D. 2

Solution

  1. Step 1: Identify nodes 5 and 1 in the tree

    Node 5 is left child of root 3, node 1 is right child of root 3.
  2. Step 2: Find their lowest common ancestor

    The lowest common ancestor of 5 and 1 is the root node 3, as it is the deepest node that has both as descendants.
  3. Final Answer:

    3 -> Option A
  4. Quick Check:

    LCA(5,1) = 3 [OK]
Hint: LCA of nodes on different sides is their root ancestor [OK]
Common Mistakes:
  • Choosing one of the nodes instead of their ancestor
  • Confusing child nodes as LCA
  • Ignoring tree structure
4. The following Java method is intended to find the LCA of two nodes in a binary tree. What is the bug?
public TreeNode findLCA(TreeNode root, int n1, int n2) {
    if (root == null) return null;
    if (root.val == n1 || root.val == n2) return root;
    TreeNode left = findLCA(root.left, n1, n2);
    TreeNode right = findLCA(root.right, n1, n2);
    if (left != null && right != null) return root;
    if (left != null) return left;
    return right;
}
medium
A. It incorrectly returns root when both left and right are null
B. It returns null when both nodes are the same
C. It does not handle the case when one node is not present in the tree
D. It does not check for null root at the start

Solution

  1. Step 1: Understand the method logic

    The method returns root if it matches either node, then recursively searches left and right subtrees. If both sides return non-null, root is LCA.
  2. Step 2: Identify missing case

    The method assumes both nodes exist. If one node is missing, it may return the other node incorrectly as LCA without confirming presence of both.
  3. Final Answer:

    It does not handle the case when one node is not present in the tree -> Option C
  4. Quick Check:

    Missing node presence check causes incorrect LCA [OK]
Hint: Check both nodes exist before returning LCA [OK]
Common Mistakes:
  • Ignoring missing node cases
  • Assuming both nodes always exist
  • Not validating subtree results properly
5. You have a binary tree where nodes can have duplicate values. How would you modify the standard LCA algorithm to correctly find the LCA of two nodes given their references (not values)?
hard
A. Use node references directly instead of comparing values during recursion
B. Use a hash map to store node values and find LCA by values
C. Ignore duplicates and return the first matching value node as LCA
D. Modify the tree to remove duplicates before finding LCA

Solution

  1. Step 1: Understand the problem with duplicates

    When values are duplicated, comparing node values is unreliable to identify nodes uniquely.
  2. Step 2: Use node references for comparison

    Instead of comparing values, compare the actual node references (memory addresses) to find exact nodes during recursion.
  3. Step 3: Adjust algorithm accordingly

    Modify the LCA method to check if current node == target node references, not values.
  4. Final Answer:

    Use node references directly instead of comparing values during recursion -> Option A
  5. Quick Check:

    Use references, not values, for duplicates [OK]
Hint: Compare node references, not values, when duplicates exist [OK]
Common Mistakes:
  • Comparing values instead of references
  • Trying to remove duplicates unnecessarily
  • Using value-based hash maps causing errors
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