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Tree Traversal Postorder Left Right Root in DSA Go - Execution Trace

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Concept Flow - Tree Traversal Postorder Left Right Root
Start at root
↓
Traverse left subtree
↓
Traverse right subtree
↓
Visit root node
↓
Done
The traversal visits left subtree first, then right subtree, and finally the root node.
Execution Sample
DSA Go
func postorder(node *Node) {
  if node == nil {
    return
  }
  postorder(node.Left)
  postorder(node.Right)
  fmt.Println(node.Value)
}
This code prints nodes of a binary tree in postorder: left, right, then root.
Execution Table
StepOperationNode VisitedActionTree State (Visited Nodes)
1Start at rootATraverse left subtree[]
2Traverse left subtreeBTraverse left subtree[]
3Traverse left subtreeDTraverse left subtree[]
4Traverse left subtreenilReturn (no node)[]
5Traverse right subtreenilReturn (no node)[]
6Visit nodeDPrint D[D]
7Traverse right subtreeETraverse left subtree[D]
8Traverse left subtreenilReturn (no node)[D]
9Traverse right subtreenilReturn (no node)[D]
10Visit nodeEPrint E[D, E]
11Visit nodeBPrint B[D, E, B]
12Traverse right subtreeCTraverse left subtree[D, E, B]
13Traverse left subtreeFTraverse left subtree[D, E, B]
14Traverse left subtreenilReturn (no node)[D, E, B]
15Traverse right subtreenilReturn (no node)[D, E, B]
16Visit nodeFPrint F[D, E, B, F]
17Traverse right subtreeGTraverse left subtree[D, E, B, F]
18Traverse left subtreenilReturn (no node)[D, E, B, F]
19Traverse right subtreenilReturn (no node)[D, E, B, F]
20Visit nodeGPrint G[D, E, B, F, G]
21Visit nodeCPrint C[D, E, B, F, G, C]
22Visit nodeAPrint A[D, E, B, F, G, C, A]
💡 All nodes visited in postorder: left, right, root.
Variable Tracker
VariableStartAfter Step 6After Step 11After Step 16After Step 21Final
Visited Nodes[][D][D, E, B][D, E, B, F][D, E, B, F, G, C][D, E, B, F, G, C, A]
Current NodeABBCCA
Key Moments - 3 Insights
Why do we visit the root node last in postorder traversal?
Because postorder means left subtree first, then right subtree, and only then the root node is visited, as shown in steps 6, 11, 16, 21, and finally 22 in the execution_table.
What happens when the node is nil during traversal?
The function returns immediately without action, as seen in steps 4, 5, 8, 9, 14, 15, 18, and 19 where traversal hits nil nodes and returns.
How does the traversal know when to stop going deeper?
It stops when it reaches a nil node (no child), returning back to the previous call, as shown in the execution_table steps where nil nodes cause returns.
Visual Quiz - 3 Questions
Test your understanding
Look at the execution_table, what nodes have been visited after step 11?
A[D, E]
B[D, E, B]
C[D, E, B, F]
D[D, E, B, F, G]
💡 Hint
Check the 'Tree State (Visited Nodes)' column at step 11 in the execution_table.
At which step does the traversal visit node 'F'?
AStep 16
BStep 21
CStep 13
DStep 6
💡 Hint
Look for the 'Visit node' action with node 'F' in the execution_table.
If the left child of node 'B' was nil, how would the visited nodes change after step 6?
A[D]
B[]
C[E]
D[B]
💡 Hint
Step 6 visits node 'D' which is left child of 'B'; if nil, it would skip to right child 'E'.
Concept Snapshot
Postorder traversal visits nodes in this order:
1. Left subtree
2. Right subtree
3. Root node

Use recursion to traverse left, then right, then print root.
Stops when node is nil (no child).
Common for deleting trees or postfix expressions.
Full Transcript
Postorder traversal means visiting the left subtree first, then the right subtree, and finally the root node. The provided Go code recursively calls postorder on the left child, then the right child, and prints the node's value last. The execution table shows step-by-step how the traversal moves through the tree nodes, returning immediately when it hits a nil node (no child). The visited nodes accumulate in the order D, E, B, F, G, C, A, which matches the postorder sequence. Key moments clarify why the root is visited last, how nil nodes cause returns, and how traversal stops going deeper. The visual quiz tests understanding of visited nodes at specific steps and effects of missing children. The snapshot summarizes the traversal order and usage.

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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