Path Sum Ii

To solve this coding challenge of finding all root-to-leaf paths in a binary tree where the sum of node values equals a given targetSum, let's utilize Depth-First Search (DFS). We'll traverse the tree from the root to each leaf, keeping track of the cumulative path sum. If we reach a leaf node and the cumulative sum equals targetSum, we store that path. Let's break down the process in a detailed manner to understand each step.

Explanation

  1. Understanding the Binary Tree Structure :
    • Each node in the tree has a value.
    • Each node can have a left child, a right child, both, or neither.
  2. Concept of Root-to-Leaf Path :
    • A root-to-leaf path starts at the root node and proceeds downward to any leaf node.
    • A leaf node is defined as a node with no children.
  3. Cumulative Path Sum :
    • As we traverse from the root to each leaf node, we accumulate the sum of the node values along the path.
  4. Depth-First Search (DFS) Approach :
    • Using DFS, we explore each potential path from the root to a leaf.
    • We keep track of the current path and its accumulated sum.
    • If we reach a leaf node and the accumulated sum equals the targetSum, we store the path.
  5. Handling Edge Cases :
    • If the tree is empty (root is null), there are no paths to consider.
    • Given the constraints, handle potentially large tree sizes efficiently.
    Let's write out the detailed steps in pseudocode and include comments to explain each part:

    Detailed Steps in Pseudocode

    Initialization
  6. Initialize Result Container :
    • Create a container (e.g., list) to store valid paths that meet the targetSum.
    •                                             
      result = []
      
                                              
  7. Define DFS Helper Function :
    • This function will take a node, remaining sum, and the current path as input parameters.
    Defining the DFS Function
  8. Base Case (Node is Null) :
    • If the current node is null, return immediately as there is nothing to process.
    •                                             
      function DFS(node, remainingSum, currentPath):
      if node is null:
      return
      
                                              
  9. Include Current Node in Path :
    • Append the current node's value to the current path.
    •                                             
      add node.val to currentPath
      
                                              
  10. Leaf Node Check :
    • Determine if the current node is a leaf node (no children).
    • Check if the remaining sum matches the current node's value.
  11. Valid Path Condition :
    • If it’s a leaf node and the remaining sum equals the node’s value, store the current path.
    •                                             
      if node is a leaf and remainingSum equals node.val:
      append a copy of currentPath to result
      
                                              
  12. Recursive DFS Calls :
    • Recursively invoke DFS on the left child and right child, adjusting the remaining sum.
    •                                             
      DFS(node.left, remainingSum - node.val, currentPath)
      DFS(node.right, remainingSum - node.val, currentPath)
      
                                              
  13. Backtrack :
    • Remove the current node value from the path to backtrack for other potential paths.
    •                                             
      remove the last element from currentPath
      
                                              
    Main Function
  14. Invoke DFS from Root :
    • Call the DFS helper function starting from the root node.
    • Return the result container storing all valid paths.
    •                                             
      function pathSum(root, targetSum):
      call DFS(root, targetSum, [])
      return result
      
                                              

Complete Pseudocode

                                            
# Initialize result container to store all valid paths
result = []

# Define the DFS helper function
function DFS(node, remainingSum, currentPath):
    # Base case: if current node is null, return
    if node is null:
        return
    
    # Include current node's value in the path
    add node.val to currentPath
    
    # Check if the current node is a leaf node and if the remaining sum matches the node's value
    if node.left is null and node.right is null and remainingSum equals node.val:
        # Store the current path as a valid path
        append a copy of currentPath to result
    else:
        # Recurse on the left and right children with adjusted remaining sum
        DFS(node.left, remainingSum - node.val, currentPath)
        DFS(node.right, remainingSum - node.val, currentPath)
    
    # Backtrack: remove the current node's value from the path
    remove the last element from currentPath

# Define the main function to solve the problem
function pathSum(root, targetSum):
    # Start DFS from the root node with the targetSum
    call DFS(root, targetSum, [])
    # Return the collected valid paths
    return result

                                        
By following this detailed approach, we ensure that we explore all possible root-to-leaf paths, properly handle edge cases, and recursively traverse the tree with DFS while maintaining and backtracking the path as needed.