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Tree Traversal Postorder Left Right Root in DSA Go - Practice Problems & Challenges

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Challenge - 5 Problems
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Postorder Traversal Master
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❓ Predict Output
intermediate
2:00remaining
Output of Postorder Traversal on a Simple Binary Tree
What is the output of the postorder traversal (Left, Right, Root) for the given binary tree?
DSA Go
package main

import "fmt"

type Node struct {
    Val   int
    Left  *Node
    Right *Node
}

func postorder(root *Node, result *[]int) {
    if root == nil {
        return
    }
    postorder(root.Left, result)
    postorder(root.Right, result)
    *result = append(*result, root.Val)
}

func main() {
    root := &Node{Val: 1}
    root.Left = &Node{Val: 2}
    root.Right = &Node{Val: 3}
    root.Left.Left = &Node{Val: 4}
    root.Left.Right = &Node{Val: 5}

    var result []int
    postorder(root, &result)
    fmt.Println(result)
}
A[2, 4, 5, 3, 1]
B[1, 2, 3, 4, 5]
C[4, 2, 5, 3, 1]
D[4, 5, 2, 3, 1]
Attempts:
2 left
💡 Hint
Remember postorder means visit left subtree, then right subtree, then the root node.
🧠 Conceptual
intermediate
1:00remaining
Understanding Postorder Traversal Steps
Which of the following best describes the order of visiting nodes in postorder traversal?
ALeft, Right, Root
BRoot, Left, Right
CRight, Left, Root
DLeft, Root, Right
Attempts:
2 left
💡 Hint
Postorder traversal always visits the root last.
🔧 Debug
advanced
2:00remaining
Identify the Bug in Postorder Traversal Implementation
What error will this code produce when performing postorder traversal?
DSA Go
package main

import "fmt"

type Node struct {
    Val   int
    Left  *Node
    Right *Node
}

func postorder(root *Node, result *[]int) {
    if root == nil {
        return
    }
    postorder(root.Right, result)
    postorder(root.Left, result)
    *result = append(*result, root.Val)
}

func main() {
    root := &Node{Val: 1}
    root.Left = &Node{Val: 2}
    root.Right = &Node{Val: 3}

    var result []int
    postorder(root, &result)
    fmt.Println(result)
}
AOutput: [3, 2, 1] but order is incorrect for postorder
BOutput: [3, 2, 1]
COutput: [2, 3, 1]
DRuntime error: nil pointer dereference
Attempts:
2 left
💡 Hint
Check the order of recursive calls for left and right children.
🚀 Application
advanced
2:00remaining
Postorder Traversal Output for Unbalanced Tree
Given the following unbalanced binary tree, what is the postorder traversal output?
DSA Go
package main

import "fmt"

type Node struct {
    Val   int
    Left  *Node
    Right *Node
}

func postorder(root *Node, result *[]int) {
    if root == nil {
        return
    }
    postorder(root.Left, result)
    postorder(root.Right, result)
    *result = append(*result, root.Val)
}

func main() {
    root := &Node{Val: 10}
    root.Right = &Node{Val: 20}
    root.Right.Left = &Node{Val: 15}
    root.Right.Right = &Node{Val: 25}

    var result []int
    postorder(root, &result)
    fmt.Println(result)
}
A[15, 20, 25, 10]
B[10, 15, 25, 20]
C[15, 25, 20, 10]
D[20, 15, 25, 10]
Attempts:
2 left
💡 Hint
Remember to visit left subtree, then right subtree, then root.
🧠 Conceptual
expert
0:30remaining
Number of Nodes Visited in Postorder Traversal
If a binary tree has 7 nodes, how many nodes will be visited during a complete postorder traversal?
A6
B7
C8
DDepends on the tree structure
Attempts:
1 left
💡 Hint
Postorder traversal visits every node exactly once.

Practice

(1/5)
1. What is the order of nodes visited in a postorder tree traversal?
easy
A. Root node, Right subtree, Left subtree
B. Root node, Left subtree, Right subtree
C. Left subtree, Right subtree, Root node
D. Right subtree, Left subtree, Root node

Solution

  1. Step 1: Understand postorder traversal definition

    Postorder traversal visits the left subtree first, then the right subtree, and finally the root node.
  2. Step 2: Match the order with options

    Left subtree, Right subtree, Root node matches the order Left, Right, Root exactly.
  3. Final Answer:

    Left subtree, Right subtree, Root node -> Option C
  4. Quick Check:

    Postorder = Left, Right, Root [OK]
Hint: Remember postorder ends with root after children [OK]
Common Mistakes:
  • Confusing postorder with preorder or inorder
  • Visiting root before children
  • Swapping left and right subtree order
2. Which of the following Go function signatures correctly represents a recursive postorder traversal of a binary tree node root?
easy
A. func postorder(root *Node) { postorder(root.Left); postorder(root.Right); fmt.Println(root.Value) }
B. func postorder(root *Node) { fmt.Println(root.Value); postorder(root.Left); postorder(root.Right) }
C. func postorder(root *Node) { postorder(root.Right); postorder(root.Left); fmt.Println(root.Value) }
D. func postorder(root *Node) { fmt.Println(root.Value); postorder(root.Right); postorder(root.Left) }

Solution

  1. Step 1: Recall postorder traversal steps

    Postorder visits left subtree, then right subtree, then root node.
  2. Step 2: Check function calls and print order

    func postorder(root *Node) { postorder(root.Left); postorder(root.Right); fmt.Println(root.Value) } calls postorder on left, then right, then prints root value, matching postorder.
  3. Final Answer:

    func postorder(root *Node) { postorder(root.Left); postorder(root.Right); fmt.Println(root.Value) } -> Option A
  4. Quick Check:

    Calls: Left, Right, Print root [OK]
Hint: Print root after recursive calls to left and right [OK]
Common Mistakes:
  • Printing root before recursive calls
  • Swapping left and right recursive calls
  • Missing recursive calls for subtrees
3. Given the binary tree below, what is the output of the postorder traversal?

      1
     / \
    2   3
   / \
  4   5
func postorder(root *Node) { if root == nil { return } postorder(root.Left) postorder(root.Right) fmt.Print(root.Value, " ") }
medium
A. 4 2 5 3 1
B. 1 2 4 5 3
C. 2 4 5 3 1
D. 4 5 2 3 1

Solution

  1. Step 1: Traverse left subtree of root (1)

    Left subtree is rooted at 2. Postorder of subtree 2 is: left(4), right(5), root(2) -> 4 5 2.
  2. Step 2: Traverse right subtree and root

    Right subtree is 3 (leaf), so output 3. Then print root 1 last.
  3. Final Answer:

    4 5 2 3 1 -> Option D
  4. Quick Check:

    Postorder = Left, Right, Root = 4 5 2 3 1 [OK]
Hint: Visit left subtree fully, then right, then root [OK]
Common Mistakes:
  • Printing root before children
  • Mixing left and right subtree order
  • Skipping leaf nodes
4. The following Go code attempts a postorder traversal but produces incorrect output. What is the error?

func postorder(root *Node) {
  if root == nil {
    return
  }
  postorder(root.Right)
  postorder(root.Left)
  fmt.Print(root.Value, " ")
}
medium
A. The order of recursive calls is swapped; left should be before right
B. The base case is missing for nil nodes
C. The root value should be printed before recursive calls
D. The function should return a slice instead of printing

Solution

  1. Step 1: Analyze recursive call order

    The code calls postorder on right subtree first, then left subtree, which reverses the expected order.
  2. Step 2: Recall correct postorder sequence

    Postorder requires left subtree first, then right subtree, then root. Swapping left and right causes wrong output.
  3. Final Answer:

    The order of recursive calls is swapped; left should be before right -> Option A
  4. Quick Check:

    Left before Right in postorder [OK]
Hint: Left subtree call must come before right subtree call [OK]
Common Mistakes:
  • Swapping left and right subtree calls
  • Printing root before children
  • Ignoring base case for nil
5. You want to collect the values of a binary tree in postorder traversal into a slice instead of printing. Which Go function correctly implements this?
hard
A. func postorder(root *Node, res *[]int) { if root == nil { return } postorder(root.Right, res) postorder(root.Left, res) *res = append(*res, root.Value) }
B. func postorder(root *Node) []int { if root == nil { return []int{} } left := postorder(root.Left) right := postorder(root.Right) return append(left, append(right, root.Value)...) }
C. func postorder(root *Node, res *[]int) { if root == nil { return } *res = append(*res, root.Value) postorder(root.Left, res) postorder(root.Right, res) }
D. func postorder(root *Node) []int { if root == nil { return nil } return []int{root.Value} }

Solution

  1. Step 1: Understand collecting values in slice recursively

    We want a function returning a slice with postorder values: left subtree slice + right subtree slice + root value.
  2. Step 2: Check each option for correct order and slice handling

    func postorder(root *Node) []int { if root == nil { return []int{} } left := postorder(root.Left) right := postorder(root.Right) return append(left, append(right, root.Value)...) } correctly returns left slice, then appends right slice, then root value, matching postorder traversal.
  3. Final Answer:

    func postorder(root *Node) []int { if root == nil { return []int{} } left := postorder(root.Left) right := postorder(root.Right) return append(left, append(right, root.Value)...) } -> Option B
  4. Quick Check:

    Return slices: left + right + root [OK]
Hint: Return left + right + root slices combined [OK]
Common Mistakes:
  • Appending root before children slices
  • Not combining slices correctly
  • Returning nil instead of empty slice for nil node
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