Lowest Common Ancestor Of A Binary Tree

Explanation

To solve this coding challenge, we need to find the Lowest Common Ancestor (LCA) of two nodes in a binary tree. The LCA of two nodes p and q in a binary tree is defined as the deepest (lowest) node that has both p and q as descendants. This challenge involves traversal of the binary tree and needs an approach that explores all possible paths to identify the relationship between the nodes. We will employ a recursive depth-first search (DFS) strategy that allows us to explore every node in the tree. Below is a detailed explanation of the algorithm we can use to solve this problem:
  1. Base Case:
    • If the current node is
      null
      (None), return
      null
      . This signifies that we have reached a leaf node and didn't find either of the nodes
      p
      or
      q
      .
    • If the current node matches either
      p
      or
      q
      , return the current node. This indicates that one of the target nodes has been found.
  2. Recursive Search:
    • Recursively search the left and right subtrees for the nodes
      p
      and
      q
      .
    • If both the left and right subtrees return non-null values, it means both
      p
      and
      q
      have been found in different branches, hence the current node is the LCA.
    • If only one of the subtrees returns a non-null value, return that non-null value as it indicates that both
      p
      and
      q
      are located in the same subtree or one is a descendant of the other.
  3. The algorithm continues this recursive search until the entire tree is traversed.
  4. Detailed Steps in Pseudocode

  5. Recursive function definition: Define a function
    findLCA
    which accepts the current
    node
    , and target nodes
    p
    and
    q
    .
  6. Base conditions:
    • If
      node is None
      , return
      None
      .
    • If
      node is p or q
      , return
      node
      .
  7. Recursive search:
    • Search the left subtree:
      leftResult = findLCA(node.left, p, q)
    • Search the right subtree:
      rightResult = findLCA(node.right, p, q)
    • If both
      leftResult
      and
      rightResult
      are non-null, then
      node
      is the LCA.
    • If only one of
      leftResult
      or
      rightResult
      is non-null, return that result.
    • If both are null, return
      None
      .
Here is the pseudocode with comments:
                                            
# Recursive function to find the lowest common ancestor of nodes p and q
def findLCA(node, p, q):
    # Base Case: if the current node is None, return None
    if node is None:
        return None
    
    # If the current node matches p or q, return the current node
    if node == p or node == q:
        return node
    
    # Recursively search for LCA in the left subtree
    leftResult = findLCA(node.left, p, q)
    
    # Recursively search for LCA in the right subtree
    rightResult = findLCA(node.right, p, q)

    # If both leftResult and rightResult are non-null, the current node is the LCA
    if leftResult is not None and rightResult is not None:
        return node
    
    # If either leftResult or rightResult is non-null, return the non-null result
    if leftResult is not None:
        return leftResult
    else:
        return rightResult

# Function to initiate the LCA finding process
def lowestCommonAncestor(root, p, q):
    return findLCA(root, p, q)

                                        
The above pseudocode provides a detailed recursive solution for finding the lowest common ancestor in a binary tree. This solution ensures that every necessary possible path is explored, guaranteeing the correct result for the LCA identification problem. The comments within the code explain each step to make sure the logic is clear and understandable.