Maximum Path Sum in Binary Tree in DSA Javascript - Practice Problems & Challenges

Challenge - 5 Problems

❓ Predict Output

intermediate

Output of Maximum Path Sum Calculation

What is the output of the following code that calculates the maximum path sum in a binary tree?

DSA Javascript

class TreeNode {
  constructor(val, left = null, right = null) {
    this.val = val;
    this.left = left;
    this.right = right;
  }
}

function maxPathSum(root) {
  let maxSum = -Infinity;
  function dfs(node) {
    if (!node) return 0;
    const left = Math.max(dfs(node.left), 0);
    const right = Math.max(dfs(node.right), 0);
    maxSum = Math.max(maxSum, node.val + left + right);
    return node.val + Math.max(left, right);
  }
  dfs(root);
  return maxSum;
}

const root = new TreeNode(-10,
  new TreeNode(9),
  new TreeNode(20, new TreeNode(15), new TreeNode(7))
);
console.log(maxPathSum(root));

A 20

B 35

C 42

D 27

💡 Hint

Think about the path that includes the root's right subtree and its children.

The maximum path sum is 42, coming from the path 15 -> 20 -> 7. The root's value -10 is not included because it lowers the sum. The path 9 alone is smaller. The function correctly calculates the max path sum by considering left and right children and ignoring negative sums.

🧠 Conceptual

intermediate

Understanding Maximum Path Sum Definition

Which of the following best describes the maximum path sum in a binary tree?

A The largest sum of values from any path starting at the root and ending at any leaf.

B The sum of all node values in the tree.

C The largest sum of values from any path that starts at a leaf and ends at the root.

D The largest sum of values from any path between any two nodes in the tree, where the path can start and end at any node.

💡 Hint

The path does not have to start or end at the root or a leaf.

The maximum path sum is the largest sum of values from any path between any two nodes in the tree. The path can start and end at any node and does not have to pass through the root.

❓ Predict Output

advanced

Output of Maximum Path Sum with Negative Values

What is the output of this code that calculates the maximum path sum in a binary tree containing negative values?

DSA Javascript

class TreeNode {
  constructor(val, left = null, right = null) {
    this.val = val;
    this.left = left;
    this.right = right;
  }
}

function maxPathSum(root) {
  let maxSum = -Infinity;
  function dfs(node) {
    if (!node) return 0;
    const left = Math.max(dfs(node.left), 0);
    const right = Math.max(dfs(node.right), 0);
    maxSum = Math.max(maxSum, node.val + left + right);
    return node.val + Math.max(left, right);
  }
  dfs(root);
  return maxSum;
}

const root = new TreeNode(-3);
console.log(maxPathSum(root));

A 0

B -3

C 3

D null

💡 Hint

Consider that the path can be a single node.

The maximum path sum is -3 because the tree has only one node with value -3. The function returns the maximum sum considering single nodes as paths.

🔧 Debug

advanced

Identify the Error in Maximum Path Sum Implementation

What error will this code produce when calculating the maximum path sum?

DSA Javascript

class TreeNode {
  constructor(val, left = null, right = null) {
    this.val = val;
    this.left = left;
    this.right = right;
  }
}

function maxPathSum(root) {
  let maxSum = -Infinity;
  function dfs(node) {
    if (!node) return 0;
    const left = dfs(node.left);
    const right = dfs(node.right);
    maxSum = Math.max(maxSum, node.val + left + right);
    return node.val + Math.max(left, right);
  }
  dfs(root);
  return maxSum;
}

const root = new TreeNode(1, new TreeNode(2), new TreeNode(3));
console.log(maxPathSum(root));

A No error, output is 6

B Output is 7, which is incorrect

C Stack overflow error due to infinite recursion

D Output is 4, which is incorrect

💡 Hint

Check if negative values are handled correctly.

The code does not ignore negative sums, but since all values are positive, the output is correct and equals 6 (2 + 1 + 3). No error occurs.

🚀 Application

expert

Maximum Path Sum in a Complex Tree

Given the following binary tree, what is the maximum path sum?

DSA Javascript

class TreeNode {
  constructor(val, left = null, right = null) {
    this.val = val;
    this.left = left;
    this.right = right;
  }
}

const root = new TreeNode(10,
  new TreeNode(2,
    new TreeNode(20),
    new TreeNode(1)
  ),
  new TreeNode(10,
    null,
    new TreeNode(-25,
      new TreeNode(3),
      new TreeNode(4)
    )
  )
);

function maxPathSum(root) {
  let maxSum = -Infinity;
  function dfs(node) {
    if (!node) return 0;
    const left = Math.max(dfs(node.left), 0);
    const right = Math.max(dfs(node.right), 0);
    maxSum = Math.max(maxSum, node.val + left + right);
    return node.val + Math.max(left, right);
  }
  dfs(root);
  return maxSum;
}

console.log(maxPathSum(root));

A 42

B 55

C 48

D 60

💡 Hint

Consider the path that includes 20, 2, 10, 10, and ignore negative branches.

The maximum path sum is 42, coming from the path 20 -> 2 -> 10 -> 10, ignoring the negative branch -25. The function correctly calculates this by ignoring negative sums and combining left and right children.

Practice

1. What does the "Maximum Path Sum in Binary Tree" problem ask you to find?

easy

A. The sum of all node values in the tree

B. The longest path length in the binary tree

C. The highest sum of values along any path between two nodes in the tree

D. The maximum value of a single node in the tree

Solution

1. Step 1: Understand the problem definition

   The problem asks for the maximum sum of node values along any path in the binary tree. A path can start and end at any nodes, but must be connected.

2. Step 2: Differentiate from other path problems

   This is not about longest path length or total sum of all nodes, but the maximum sum of values on any path.

3. Final Answer:

   The highest sum of values along any path between two nodes in the tree -> Option C

4. Quick Check:

   Maximum path sum = highest sum path [OK]

Hint: Focus on sum of connected nodes, not length or single node [OK]

Common Mistakes:

• Confusing maximum path sum with longest path length
• Thinking path must start at root
• Summing all nodes instead of a path

2. Which of the following is the correct base case return value for a recursive function computing maximum path sum in a binary tree node when the node is null?

easy

A. -Infinity

B. 1

C. null

D. 0

Solution

1. Step 1: Consider the meaning of base case for null node

   When the node is null, the maximum gain from this subtree is 0 (choose not to extend path here).

2. Step 2: Why not others?

   -Infinity works only with Math.max(0, result) but 0 is standard and cleaner. Returning 0 allows proper clamping in parent. null or 1 cause type/math errors.

3. Final Answer:

   0 -> Option D

4. Quick Check:

   Base case for null = 0 [OK]

Hint: Return 0 for null to represent zero contribution [OK]

Common Mistakes:

• Returning -Infinity without Math.max(0, ·)
• Returning null causing type errors
• Returning positive values skewing max

3. What is the output of the following code snippet for maximum path sum?

class TreeNode {
  constructor(val, left = null, right = null) {
    this.val = val;
    this.left = left;
    this.right = right;
  }
}

function maxPathSum(root) {
  let maxSum = -Infinity;
  function dfs(node) {
    if (!node) return 0;
    let left = Math.max(dfs(node.left), 0);
    let right = Math.max(dfs(node.right), 0);
    maxSum = Math.max(maxSum, node.val + left + right);
    return node.val + Math.max(left, right);
  }
  dfs(root);
  return maxSum;
}

const root = new TreeNode(-10, new TreeNode(9), new TreeNode(20, new TreeNode(15), new TreeNode(7)));
console.log(maxPathSum(root));

medium

A. 42

B. 35

C. 27

D. 20

Solution

1. Step 1: Trace dfs on left subtree

   Left child 9: left=0, right=0, maxSum = 9, returns 9.

2. Step 2: Trace dfs on right subtree

   dfs(15)=15 updates maxSum=15; dfs(7)=7 keeps 15; at 20: left=15, right=7, maxSum = max(15, 20+15+7=42)=42, returns 20+15=35.

3. Step 3: Calculate root node max sum

   Root: left=9, right=35, path sum -10+9+35=34 <42, maxSum remains 42.

4. Final Answer:

   42 -> Option A

5. Quick Check:

   Max path sum = 42 [OK]

Hint: Add node + max(left, right) and update maxSum with both sides [OK]

Common Mistakes:

• Not ignoring negative sums by using Math.max with 0
• Adding left and right children incorrectly
• Confusing return value with maxSum update

4. Identify the bug in this maximum path sum function and select the fix:

function maxPathSum(root) {
  let maxSum = -Infinity;
  function dfs(node) {
    if (!node) return -Infinity;
    let left = dfs(node.left);
    let right = dfs(node.right);
    maxSum = Math.max(maxSum, node.val + left + right);
    return node.val + Math.max(left, right);
  }
  dfs(root);
  return maxSum;
}

medium

A. Add check to ignore negative sums with Math.max(left, 0)

B. Change base case return from -Infinity to 0

C. Initialize maxSum to 0 instead of -Infinity

D. Return maxSum inside dfs instead of outside

Solution

1. Step 1: Analyze base case and recursive calls

   Returning -Infinity for null nodes causes left and right to be -Infinity, which breaks addition and max calculations.

2. Step 2: Fix by ignoring negative sums

   Use Math.max(dfs(node.left), 0) and Math.max(dfs(node.right), 0) to ignore negative paths and avoid incorrect sums.

3. Final Answer:

   Add check to ignore negative sums with Math.max(left, 0) -> Option A

4. Quick Check:

   Ignore negative sums with Math.max(..., 0) [OK]

Hint: Ignore negative child sums by max with 0 to fix bugs [OK]

Common Mistakes:

• Returning -Infinity breaks addition
• Not ignoring negative sums from children
• Changing maxSum initialization wrongly

5. Given a binary tree where some nodes have negative values, how would you modify the maximum path sum algorithm to handle the case where all values are negative?

hard

A. Allow paths to be empty and return 0 if all sums are negative

B. Track the maximum single node value separately and compare with path sums

C. Use Math.max with 0 on child sums to ignore negatives

D. Initialize maxSum to -Infinity and do not ignore negative child sums

Solution

1. Step 1: Understand all-negative case

   The max path sum is the highest (least negative) single node value. Paths must include at least one node.

2. Step 2: Key modification

   Tracking the maximum single node value separately ensures that if all child sums are negative, the algorithm still returns the maximum node value. Using Math.max(0, dfs(child)) ignores negative child sums but can miss the max single node if all are negative.

3. Final Answer:

   Track the maximum single node value separately and compare with path sums -> Option B

4. Quick Check:

   Separate max node tracking handles all-negative correctly [OK]

Hint: Track max single node separately to handle all-negative cases [OK]

Common Mistakes:

• Allowing empty path return 0 (invalid)
• Not tracking max node separately (misses max negative node)
• Not ignoring negative child sums (misses single nodes)