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DSA Cprogramming~10 mins

BST Find Minimum Element in DSA C - Interactive Practice

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Practice - 5 Tasks
Answer the questions below
1fill in blank
easy

Complete the code to return the minimum value in the BST.

DSA C
int findMin(struct Node* root) {
    struct Node* current = root;
    while (current->[1] != NULL) {
        current = current->left;
    }
    return current->data;
}
Drag options to blanks, or click blank then click option'
Aparent
Bright
Cleft
Dchild
Attempts:
3 left
💡 Hint
Common Mistakes
Checking current->right instead of current->left
Returning root->data without traversing
Using recursion unnecessarily
2fill in blank
medium

Complete the code to handle the case when the BST is empty.

DSA C
int findMin(struct Node* root) {
    if (root == [1]) {
        return -1; // or some error code
    }
    struct Node* current = root;
    while (current->left != NULL) {
        current = current->left;
    }
    return current->data;
}
Drag options to blanks, or click blank then click option'
ANULL
Bfalse
Croot
D0
Attempts:
3 left
💡 Hint
Common Mistakes
Checking if root == 0 instead of root == NULL
Not handling empty tree case
Returning 0 as minimum which may be incorrect
3fill in blank
hard

Fix the error in the code to correctly find the minimum element.

DSA C
int findMin(struct Node* root) {
    struct Node* current = root;
    while (current->left != NULL) {
        current = current->[1];
    }
    return current->data;
}
Drag options to blanks, or click blank then click option'
Achild
Bright
Cparent
Dleft
Attempts:
3 left
💡 Hint
Common Mistakes
Moving to current->right instead of current->left
Using current->parent which is not always available
Returning root->data without traversal
4fill in blank
hard

Fill both blanks to complete the function that finds the minimum node pointer in the BST.

DSA C
struct Node* findMinNode(struct Node* root) {
    struct Node* current = root;
    while (current->[1] != [2]) {
        current = current->left;
    }
    return current;
}
Drag options to blanks, or click blank then click option'
Aleft
Bright
CNULL
Droot
Attempts:
3 left
💡 Hint
Common Mistakes
Checking current->right instead of current->left
Comparing to root instead of NULL
Returning data instead of node pointer
5fill in blank
hard

Fill all three blanks to complete the recursive function that finds the minimum value in the BST.

DSA C
int findMinRecursive(struct Node* root) {
    if (root == [1]) {
        return -1; // empty tree
    }
    if (root->[2] == [3]) {
        return root->data;
    }
    return findMinRecursive(root->left);
}
Drag options to blanks, or click blank then click option'
ANULL
Bleft
Dright
Attempts:
3 left
💡 Hint
Common Mistakes
Checking root->right instead of root->left
Returning root->data without checking left child
Not handling empty tree case

Practice

(1/5)
1. In a Binary Search Tree (BST), where is the minimum element always located?
easy
A. At the leftmost node
B. At the rightmost node
C. At the root node
D. At any leaf node

Solution

  1. Step 1: Understand BST property

    In a BST, left child nodes have smaller values than their parent nodes.
  2. Step 2: Locate minimum element

    Because smaller values go left, the minimum is at the leftmost node.
  3. Final Answer:

    At the leftmost node -> Option A
  4. Quick Check:

    Minimum element = leftmost node [OK]
Hint: Minimum is always the farthest left node in BST [OK]
Common Mistakes:
  • Thinking minimum is at root
  • Confusing leftmost with rightmost
  • Assuming minimum can be any leaf
2. Which of the following C code snippets correctly finds the minimum element in a BST?
easy
A. while(root->left != NULL) root = root->right; return root->data;
B. while(root->left != NULL) root = root->left; return root->data;
C. if(root == NULL) return INT_MAX; return root->data;
D. while(root->right != NULL) root = root->right; return root->data;

Solution

  1. Step 1: Check loop condition for minimum

    Minimum is found by moving left while left child exists.
  2. Step 2: Verify code correctness

    while(root->left != NULL) root = root->left; return root->data; moves left until no left child, then returns data correctly.
  3. Final Answer:

    while(root->left != NULL) root = root->left; return root->data; -> Option B
  4. Quick Check:

    Traverse left to find minimum [OK]
Hint: Traverse left child until NULL to find minimum [OK]
Common Mistakes:
  • Traversing right child instead of left
  • Returning root data without traversal
  • Incorrect loop condition
3. What will be the output of the following C code snippet for a BST?
struct Node {
  int data;
  struct Node* left;
  struct Node* right;
};

struct Node* findMin(struct Node* root) {
  while(root->left != NULL) {
    root = root->left;
  }
  return root;
}

// Assume BST is:
//       10
//      /  \
//     5    15
//    / 
//   2

int main() {
  struct Node n2 = {2, NULL, NULL};
  struct Node n5 = {5, &n2, NULL};
  struct Node n15 = {15, NULL, NULL};
  struct Node n10 = {10, &n5, &n15};
  struct Node* minNode = findMin(&n10);
  printf("%d", minNode->data);
  return 0;
}
medium
A. 10
B. 5
C. 2
D. 15

Solution

  1. Step 1: Trace findMin function

    Function moves left from root 10 to 5, then to 2, stops as 2 has no left child.
  2. Step 2: Identify returned node data

    Returned node is 2, so printf prints 2.
  3. Final Answer:

    2 -> Option C
  4. Quick Check:

    Leftmost node data = 2 [OK]
Hint: Output is leftmost node's data in BST [OK]
Common Mistakes:
  • Confusing leftmost with root
  • Assuming right child is minimum
  • Not following pointer traversal
4. Identify the error in the following C function that tries to find the minimum element in a BST:
struct Node* findMin(struct Node* root) {
  while(root->left == NULL) {
    root = root->left;
  }
  return root;
}
medium
A. Loop condition should be root->left != NULL
B. Function should return root->right
C. Missing check for root == NULL before loop
D. Should use recursion instead of loop

Solution

  1. Step 1: Analyze loop condition

    Loop runs while root->left == NULL, which means it stops if left child exists, so it never moves left.
  2. Step 2: Correct loop condition

    It should run while root->left != NULL to move left until no left child.
  3. Final Answer:

    Loop condition should be root->left != NULL -> Option A
  4. Quick Check:

    Traverse left while left child exists [OK]
Hint: Loop must continue while left child exists [OK]
Common Mistakes:
  • Using == NULL instead of != NULL in loop
  • Ignoring NULL root check
  • Confusing left and right pointers
5. Given a BST where some nodes have only right children, how would you modify the findMin function to safely find the minimum element without causing a runtime error if the tree is empty?
hard
A. Traverse right child instead of left child
B. Return root->data immediately without traversal
C. Use recursion without base case
D. Add a check at start: if(root == NULL) return NULL; then traverse left

Solution

  1. Step 1: Handle empty tree case

    Check if root is NULL at start to avoid dereferencing NULL pointer.
  2. Step 2: Traverse left children safely

    If root is not NULL, move left while left child exists to find minimum.
  3. Final Answer:

    Add a check at start: if(root == NULL) return NULL; then traverse left -> Option D
  4. Quick Check:

    Check NULL root before traversal [OK]
Hint: Always check for NULL root before traversal [OK]
Common Mistakes:
  • Not checking for empty tree causing crash
  • Traversing right child for minimum
  • Missing base case in recursion
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