BST Inorder Successor in DSA Go - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is the inorder successor of a node in a Binary Search Tree (BST)?

The inorder successor of a node in a BST is the node with the smallest key greater than the given node's key. It is the next node visited in an inorder traversal.

beginner

How do you find the inorder successor if the node has a right child?

If the node has a right child, the inorder successor is the leftmost node in the node's right subtree.

intermediate

How do you find the inorder successor if the node has no right child?

If the node has no right child, the inorder successor is one of its ancestors. Specifically, it is the lowest ancestor of the node whose left child is also an ancestor of the node.

intermediate

What is the time complexity of finding the inorder successor in a BST?

The time complexity is O(h), where h is the height of the BST, because you may need to traverse up or down the tree along the height.

beginner

In Go, what data structure is typically used to represent a BST node for inorder successor problems?

A struct with fields for the node's value, left child pointer, right child pointer, and optionally a parent pointer to help find ancestors.

What is the inorder successor of the maximum node in a BST?

A The root node

B The node itself

C The minimum node in the BST

D Nil (no successor)

The maximum node has no inorder successor because there is no node with a greater key.

If a node has a right child, where do you look to find its inorder successor?

A Right child's leftmost descendant

B Right child's right subtree

C Left child's rightmost descendant

D Parent node

The inorder successor is the leftmost node in the right subtree.

If a node has no right child, how do you find its inorder successor?

A Go to the left child

B Go up to the lowest ancestor whose left child is also an ancestor of the node

C Go to the right child

D There is no successor

You move up the tree to find the lowest ancestor where the node is in the left subtree.

What is the worst-case time complexity to find the inorder successor in a BST?

A O(1)

B O(log n)

C O(h)

D O(n)

The time depends on the height h of the BST, which can be up to O(n) in worst case but generally O(log n).

Which of these is NOT needed to find the inorder successor of a node in a BST?

A Root of the BST

B Node's parent pointer

C Node's right child

D Node's left child

You do not need the root to find the inorder successor if you have the node and its parent pointers.

Explain how to find the inorder successor of a node in a BST when the node has a right child.

Think about the next bigger value in the tree.

Describe the steps to find the inorder successor when the node has no right child.

Consider the path from node to root.

Practice

1. What is the inorder successor of a node in a Binary Search Tree (BST)?

easy

A. The node with the largest key smaller than the given node's key

B. The node with the smallest key greater than the given node's key

C. The root node of the BST

D. The left child of the given node

Solution

1. Step 1: Understand inorder traversal order

   Inorder traversal visits nodes in ascending order of their keys in a BST.

2. Step 2: Define inorder successor

   The inorder successor of a node is the next node visited after it in inorder traversal, which is the smallest node with a key greater than the current node's key.

3. Final Answer:

   The node with the smallest key greater than the given node's key -> Option B

4. Quick Check:

   Inorder successor = next larger node [OK]

Hint: Inorder successor is next bigger node in BST [OK]

Common Mistakes:

• Confusing successor with predecessor
• Thinking successor is always right child
• Assuming successor is parent node

2. Which of the following Go function signatures correctly represents a function to find the inorder successor of a BST node?

easy

A. func inorderSuccessor(root *Node, p *Node) *Node

B. func inorderSuccessor(p *Node) *Node

C. func inorderSuccessor(root Node, p Node) Node

D. func inorderSuccessor(root *Node) int

Solution

1. Step 1: Analyze function parameters

   To find the inorder successor, we need the BST root and the target node pointer, both as pointers to Node structs.

2. Step 2: Check return type

   The function should return a pointer to the successor node, so return type is *Node.

3. Final Answer:

   func inorderSuccessor(root *Node, p *Node) *Node -> Option A

4. Quick Check:

   Function needs root and target node pointers, returns node pointer [OK]

Hint: Function needs root and target node pointers [OK]

Common Mistakes:

• Passing nodes by value instead of pointer
• Returning int instead of node pointer
• Missing root parameter

3. Given the following BST and code snippet, what will be printed?

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

func inorderSuccessor(root, p *Node) *Node {
    var successor *Node
    for root != nil {
        if p.Val < root.Val {
            successor = root
            root = root.Left
        } else {
            root = root.Right
        }
    }
    return successor
}

// BST structure:
//       20
//      /  \
//    10    30
//      \
//      15

p := &Node{Val: 15}
succ := inorderSuccessor(root, p)
if succ != nil {
    fmt.Println(succ.Val)
} else {
    fmt.Println("nil")
}

medium

A. 20

B. 30

C. 15

D. nil

Solution

1. Step 1: Trace inorderSuccessor function for p=15

   Start at root=20: 15 < 20, successor=20, move left to 10. At 10: 15 >= 10, move right to 15. At 15: 15 >= 15, move right (nil). Loop ends.

2. Step 2: Return successor node

   Successor is 20, so succ.Val = 20 is printed.

3. Final Answer:

   20 -> Option A

4. Quick Check:

   Next bigger node after 15 is 20 [OK]

Hint: Successor is smallest node bigger than p [OK]

Common Mistakes:

• Returning p itself as successor
• Returning nil when right subtree is empty
• Confusing successor with predecessor

4. The following Go code tries to find the inorder successor of a node in a BST but has a bug. What is the bug?

func inorderSuccessor(root, p *Node) *Node {
    if p.Right != nil {
        curr := p.Right
        for curr.Left != nil {
            curr = curr.Left
        }
        return curr
    }
    var successor *Node
    for root != nil {
        if p.Val < root.Val {
            successor = root
            root = root.Left
        } else {
            root = root.Right
        }
    }
    return successor
}

medium

A. It does not handle the case when p has no right child

B. It incorrectly returns p.Right when p.Right is nil

C. It does not update successor when p.Val equals root.Val

D. It assumes root is always the BST root, which may not be true

Solution

1. Step 1: Understand the logic for successor search

   The code tries to find successor by checking right subtree or walking from root to find successor.

2. Step 2: Identify the bug in root traversal

   The code assumes root is the BST root, but if root is not the actual BST root or p is not reachable from root, the successor found may be incorrect.

3. Final Answer:

   It assumes root is always the BST root, which may not be true -> Option D

4. Quick Check:

   Root must be BST root to find correct successor [OK]

Hint: Ensure root is BST root, not arbitrary node [OK]

Common Mistakes:

• Passing a root that is not the BST root
• Not checking if p.Right is nil before access
• Ignoring case when p has no right subtree

5. You have a BST where each node has a parent pointer in addition to left and right children. How can you find the inorder successor of a node p efficiently using this parent pointer? Choose the correct approach.

hard

A. Always move to the root and perform full inorder traversal to find successor

B. If p has left child, successor is rightmost node in left subtree; else move down to left child

C. If p has right child, successor is leftmost node in right subtree; else move up using parent until node is left child of its parent

D. Successor is always the parent node regardless of children

Solution

1. Step 1: Check if p has right child

   If yes, successor is the leftmost node in p's right subtree.

2. Step 2: If no right child, move up using parent pointer

   Keep moving up until current node is left child of its parent; that parent is the successor.

3. Final Answer:

   If p has right child, successor is leftmost node in right subtree; else move up using parent until node is left child of its parent -> Option C

4. Quick Check:

   Use right subtree or climb parents to find successor [OK]

Hint: Use right subtree or climb parents via left child check [OK]

Common Mistakes:

• Confusing left and right subtree roles
• Always returning parent as successor
• Performing full traversal instead of using parent pointer