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Lowest Common Ancestor in Binary Tree in DSA Rust - Cheat Sheet & Quick Revision

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Recall & Review
beginner
What is the Lowest Common Ancestor (LCA) in a binary tree?
The Lowest Common Ancestor of two nodes in a binary tree is the deepest (lowest) node that has both nodes as descendants (where a node can be a descendant of itself).
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beginner
In the context of LCA, what does it mean for a node to be a descendant of itself?
It means that when checking if a node is a descendant, the node itself counts as its own descendant, so if the node is one of the two nodes we are finding LCA for, it can be the ancestor.
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intermediate
What is the base case in a recursive LCA function for a binary tree?
If the current node is null (no node) or matches one of the target nodes, return the current node immediately.
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intermediate
How does the recursive LCA algorithm decide the LCA when both left and right recursive calls return non-null nodes?
If both left and right recursive calls return non-null nodes, it means one target node is found in the left subtree and the other in the right subtree, so the current node is the LCA.
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beginner
Why is the LCA problem important in computer science?
LCA helps in many tree-related problems like finding relationships, optimizing queries on trees, and is a foundation for algorithms in networks, file systems, and more.
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What does the Lowest Common Ancestor represent in a binary tree?
AThe leaf node closest to the root
BThe deepest node that has both given nodes as descendants
CThe node with the smallest value
DThe root node of the tree
In the recursive LCA algorithm, what should be returned if the current node is null?
AReturn null
BReturn the current node
CReturn one of the target nodes
DReturn the root node
If the left recursive call returns a node and the right recursive call returns null, what does the LCA function return?
AThe current node
BNull
CThe node returned by the left call
DThe node returned by the right call
What is the time complexity of the standard recursive LCA algorithm in a binary tree?
AO(log n)
BO(1)
CO(n^2)
DO(n), where n is the number of nodes
Which of these is NOT true about the LCA in a binary tree?
AThe LCA is always one of the two nodes
BA node can be an ancestor of itself
CThe LCA is the lowest node with both nodes as descendants
DIf one node is ancestor of the other, the ancestor is the LCA
Explain how the recursive algorithm finds the Lowest Common Ancestor in a binary tree.
Think about what happens when you find one or both nodes in subtrees.
You got /4 concepts.
    Describe a real-life example where finding the Lowest Common Ancestor in a tree structure is useful.
    Consider how you find common connections or shared paths.
    You got /4 concepts.

      Practice

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

      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: Identify the correct description

        Among the options, only the deepest common ancestor matches this definition.
      3. Final Answer:

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

        LCA = deepest common ancestor [OK]
      Hint: LCA is the lowest node connecting both nodes [OK]
      Common Mistakes:
      • Confusing LCA with the root node
      • Choosing node based on value instead of position
      • Selecting node based on traversal order
      2. Which Rust function signature correctly represents a function to find the LCA in a binary tree where nodes are references with optional children?
      easy
      A. fn lowest_common_ancestor(root: &Option, p: &TreeNode, q: &TreeNode) -> Option<&TreeNode>
      B. fn lowest_common_ancestor(root: TreeNode, p: TreeNode, q: TreeNode) -> TreeNode
      C. fn lowest_common_ancestor(root: &TreeNode, p: &TreeNode, q: &TreeNode) -> TreeNode
      D. fn lowest_common_ancestor(root: &mut TreeNode, p: TreeNode, q: TreeNode) -> Option<TreeNode>

      Solution

      1. Step 1: Analyze the function parameters and return type

        The root is an optional boxed node reference because the tree can be empty. The nodes p and q are references to TreeNode. The return type is an optional reference to TreeNode because LCA might not exist.
      2. Step 2: Match the correct signature

        fn lowest_common_ancestor(root: &Option, p: &TreeNode, q: &TreeNode) -> Option<&TreeNode> matches this pattern exactly with references and Option types.
      3. Final Answer:

        fn lowest_common_ancestor(root: &Option, p: &TreeNode, q: &TreeNode) -> Option<&TreeNode> -> Option A
      4. Quick Check:

        Correct Rust signature uses references and Option<Box> [OK]
      Hint: Use &Option for root and return Option<&TreeNode> [OK]
      Common Mistakes:
      • Passing TreeNode by value instead of reference
      • Returning owned TreeNode instead of reference
      • Using mutable references unnecessarily
      3. Given the following Rust code snippet for LCA, what will be the output if nodes p=5 and q=1 are searched in the tree?
      struct TreeNode {
          val: i32,
          left: Option,
          right: Option,
      }
      
      // Tree structure:
      //       3
      //      / \
      //     5   1
      //    / \ / \
      //   6  2 0  8
      
      // Calling lowest_common_ancestor(root, &p, &q) returns node with value:
      let lca = lowest_common_ancestor(&root, &p, &q);
      println!("{}", lca.unwrap().val);
      medium
      A. 5
      B. 3
      C. 1
      D. 2

      Solution

      1. Step 1: Visualize the tree and nodes p and q

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

        The lowest node that has both 5 and 1 as descendants is the root node 3.
      3. Final Answer:

        3 -> Option B
      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. Identify the bug in this Rust function snippet for finding LCA:
      fn lowest_common_ancestor(root: &Option, p: &TreeNode, q: &TreeNode) -> Option<&TreeNode> {
          if root.is_none() { return None; }
          let node = root.as_ref().unwrap();
          if node.val == p.val || node.val == q.val {
              return Some(node);
          }
          let left = lowest_common_ancestor(&node.left, p, q);
          let right = lowest_common_ancestor(&node.right, p, q);
          if left.is_some() && right.is_some() {
              return Some(node);
          }
          if left.is_some() {
              return left;
          }
          right;
      }
      medium
      A. Missing return statement in last line
      B. Incorrect use of unwrap causing panic
      C. Function returns owned TreeNode instead of reference
      D. Function does not handle None cases properly

      Solution

      1. Step 1: Trace the control flow paths

        The function handles empty root, current node matching p/q, and both subtrees containing descendants.
      2. Step 2: Analyze the final path

        When neither both-some nor left-some conditions trigger (left None), it reaches right;. The semicolon turns it into a statement that evaluates right but discards it, ending the function without returning a value. Thus, missing return statement.
      3. Final Answer:

        Missing return statement in last line -> Option A
      4. Quick Check:

        right; discards result instead of returning [OK]
      Hint: Semicolon on last expression prevents implicit return [OK]
      Common Mistakes:
      • Adding semicolon to last line discarding result
      • Thinking unwrap causes panic without checking is_none
      • Confusing ownership with references
      5. You have a binary tree where nodes can have duplicate values. How would you modify the LCA function in Rust to correctly find the LCA of two nodes given their references (not values)?
      hard
      A. Return the first node found with matching value as LCA
      B. Use node values for comparison as usual, duplicates won't affect result
      C. Convert tree to a binary search tree first to avoid duplicates
      D. Compare nodes by their memory addresses or references instead of values

      Solution

      1. Step 1: Understand the problem with duplicates

        When nodes have duplicate values, comparing by value is ambiguous and can return wrong LCA.
      2. Step 2: Use node references for comparison

        Comparing nodes by their memory addresses or references ensures exact node identity, avoiding confusion from duplicates.
      3. Step 3: Choose the correct approach

        Compare nodes by their memory addresses or references instead of values correctly suggests comparing nodes by references, which is the safe and correct method in Rust.
      4. Final Answer:

        Compare nodes by their memory addresses or references instead of values -> Option D
      5. Quick Check:

        Use references, not values, to handle duplicates [OK]
      Hint: Use node references, not values, to handle duplicates [OK]
      Common Mistakes:
      • Comparing nodes by value causing wrong LCA
      • Trying to convert tree to BST unnecessarily
      • Returning first matching value node ignoring duplicates
      Recommended

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      10 questions~5 mineasy hard