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DSA Cprogramming~5 mins

BST Insert Operation in DSA C - Cheat Sheet & Quick Revision

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Recall & Review
beginner
What is a Binary Search Tree (BST)?
A BST is a tree where each node has at most two children. The left child's value is less than the parent's value, and the right child's value is greater than the parent's value.
Click to reveal answer
beginner
What is the main rule to follow when inserting a new value into a BST?
Compare the new value with the current node's value. If smaller, go to the left child; if larger, go to the right child. Repeat until you find an empty spot to insert the new node.
Click to reveal answer
intermediate
What happens if you try to insert a value that already exists in the BST?
Usually, BSTs do not allow duplicate values. The insert operation will ignore the new value or handle duplicates based on specific rules, but commonly it does not insert duplicates.
Click to reveal answer
beginner
Show the steps to insert the value 7 into this BST: 5 -> left: 3, right: 8
Start at root 5. Since 7 > 5, move right to 8. Since 7 < 8, move left which is empty. Insert 7 as left child of 8.
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intermediate
What is the time complexity of inserting a node in a BST?
The average time complexity is O(log n) because you halve the search space each step. In the worst case (unbalanced tree), it can be O(n).
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When inserting a value into a BST, where do you go if the value is less than the current node?
AGo to the left child
BGo to the right child
CReplace the current node
DStop insertion
What do you do if you reach a null (empty) child while inserting a value in a BST?
AInsert the new node here
BGo back to the root
CIgnore the value
DDelete the parent node
What is the worst-case time complexity of BST insert operation?
AO(1)
BO(log n)
CO(n log n)
DO(n)
If the BST is empty, what happens when you insert the first value?
AIt becomes the left child
BIt becomes the root node
CInsertion fails
DIt becomes the right child
Which traversal order is best to print BST values in sorted order?
APost-order
BPre-order
CIn-order
DLevel-order
Explain the step-by-step process of inserting a new value into a BST.
Think about how you decide where to put the new value by comparing it to nodes.
You got /5 concepts.
    Describe how the BST property helps in efficient insertion.
    Consider how the tree structure guides where to insert.
    You got /4 concepts.

      Practice

      (1/5)
      1. What is the main purpose of the insert operation in a Binary Search Tree (BST)?
      easy
      A. To find the height of the BST
      B. To delete a node from the BST
      C. To add a new node while keeping the BST property intact
      D. To traverse the BST in order

      Solution

      1. Step 1: Understand BST property

        A BST keeps nodes ordered so that left child is smaller and right child is larger than the parent.
      2. Step 2: Purpose of insert operation

        Insert adds a new node in the correct position to maintain this order.
      3. Final Answer:

        To add a new node while keeping the BST property intact -> Option C
      4. Quick Check:

        Insert = Add node correctly [OK]
      Hint: Insert means add node keeping order [OK]
      Common Mistakes:
      • Confusing insert with delete operation
      • Thinking insert changes tree traversal
      • Assuming insert changes tree height always
      2. Which of the following is the correct way to declare a BST node structure in C for insertion?
      easy
      A. typedef struct Node { int data; struct Node* left; struct Node* right; } Node;
      B. struct Node { int data; int left; int right; };
      C. typedef struct Node { int data; Node left; Node right; } Node;
      D. struct Node { int data; struct Node left; struct Node right; };

      Solution

      1. Step 1: Check pointer usage in struct

        BST nodes must have pointers to left and right child nodes, not direct structs or ints.
      2. Step 2: Validate correct syntax

        typedef struct Node { int data; struct Node* left; struct Node* right; } Node; uses pointers to struct Node correctly, others use wrong types or missing pointers.
      3. Final Answer:

        typedef struct Node { int data; struct Node* left; struct Node* right; } Node; -> Option A
      4. Quick Check:

        Node pointers needed for children [OK]
      Hint: Use pointers for left and right child nodes [OK]
      Common Mistakes:
      • Using int instead of pointers for children
      • Missing struct keyword before Node*
      • Declaring children as struct instead of pointers
      3. Given the following BST and insertion code snippet, what will be the inorder traversal output after inserting 25?
          20
         /  \
       10   30
      
      // Insert function called with root and 25
      
      medium
      A. [10, 20, 25, 30]
      B. [10, 20, 30, 25]
      C. [10, 25, 20, 30]
      D. [20, 10, 25, 30]

      Solution

      1. Step 1: Insert 25 in BST

        25 is greater than 20, so move right to 30. 25 is less than 30, so insert as left child of 30.
      2. Step 2: Inorder traversal after insertion

        Inorder visits left, root, right: 10, 20, 25, 30.
      3. Final Answer:

        [10, 20, 25, 30] -> Option A
      4. Quick Check:

        Inorder sorted = [10, 20, 25, 30] [OK]
      Hint: Inorder traversal of BST is sorted list [OK]
      Common Mistakes:
      • Inserting 25 as right child of 30
      • Misordering inorder traversal
      • Confusing preorder with inorder
      4. Identify the error in the following BST insert function snippet:
      Node* insert(Node* root, int val) {
        if (root == NULL) {
          Node* newNode = malloc(sizeof(Node));
          newNode->data = val;
          newNode->left = NULL;
          newNode->right = NULL;
          return newNode;
        }
        if (val < root->data) {
          root->left = insert(root->left, val);
        } else {
          root->right = insert(root->right, val);
        }
        return root;
      }
      medium
      A. Incorrect comparison operator for val and root->data
      B. Missing return statement after creating new node
      C. Using malloc instead of calloc
      D. Not freeing memory of old nodes

      Solution

      1. Step 1: Check base case return

        When root is NULL, new node is created but not returned, so function returns garbage.
      2. Step 2: Fix missing return

        Must return newNode immediately after creation to link it properly.
      3. Final Answer:

        Missing return statement after creating new node -> Option B
      4. Quick Check:

        Return new node in base case [OK]
      Hint: Always return new node after malloc in base case [OK]
      Common Mistakes:
      • Forgetting to return new node in base case
      • Incorrect pointer assignments
      • Ignoring memory allocation errors
      5. You have a BST with nodes 15, 10, 20, 8, 12, 17, 25. You want to insert 16. After insertion, what is the preorder traversal of the BST?
      hard
      A. [15, 10, 8, 12, 20, 17, 25, 16]
      B. [15, 10, 8, 12, 20, 16, 17, 25]
      C. [15, 10, 8, 12, 20, 25, 17, 16]
      D. [15, 10, 8, 12, 20, 17, 16, 25]

      Solution

      1. Step 1: Insert 16 in BST

        16 is less than 17, so it becomes left child of 17.
      2. Step 2: Preorder traversal after insertion

        Preorder visits root, left, right: 15, 10, 8, 12, 20, 17, 16, 25.
      3. Final Answer:

        [15, 10, 8, 12, 20, 17, 16, 25] -> Option D
      4. Quick Check:

        Preorder = root-left-right [OK]
      Hint: Preorder = root, left subtree, then right subtree [OK]
      Common Mistakes:
      • Inserting 16 as right child of 17
      • Mixing preorder with inorder or postorder
      • Skipping the new node in traversal
      Recommended

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