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DSA C++programming~5 mins

Dequeue Using Linked List in DSA C++ - Cheat Sheet & Quick Revision

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Recall & Review
beginner
What is a Dequeue (Double-Ended Queue)?
A Dequeue is a data structure where elements can be added or removed from both the front and the rear ends.
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beginner
Why use a linked list to implement a Dequeue?
A linked list allows efficient insertion and deletion at both ends without shifting elements, unlike arrays.
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beginner
What are the main operations of a Dequeue using a linked list?
The main operations are: insertFront, insertRear, deleteFront, deleteRear, and display.
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intermediate
How does deleteRear work in a singly linked list based Dequeue?
To delete from rear, traverse to the second last node, update its next pointer to null, and delete the last node.
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intermediate
What is the time complexity of insertFront and insertRear in a linked list Dequeue?
Both insertFront and insertRear operations take O(1) time if a tail pointer is maintained.
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Which operation is NOT supported by a Dequeue?
AInsert in the middle
BDelete from rear
CInsert at front
DDelete from front
What is the advantage of using a linked list for Dequeue over an array?
AFixed size
BUses less memory always
CFaster random access
DDynamic size and no shifting needed
In a singly linked list Dequeue, what pointer is helpful to make insertRear O(1)?
AMiddle pointer
BHead pointer
CTail pointer
DNull pointer
What happens if you deleteFront on an empty Dequeue?
ADeletes last element
BThrows error or returns underflow
CDeletes from rear instead
DInserts a new element
Which of these is true about Dequeue implemented with linked list?
AInsertion at rear is O(1) if tail pointer is used
BDeletion at rear is O(1) always
CInsertion at front is O(n)
DIt cannot be empty
Explain how to insert an element at the front of a Dequeue implemented using a linked list.
Think about how linked list insertion at front works.
You got /4 concepts.
    Describe the steps to delete an element from the rear of a singly linked list based Dequeue.
    Remember singly linked list does not have backward pointers.
    You got /4 concepts.

      Practice

      (1/5)
      1. What is the main advantage of implementing a Dequeue using a linked list over an array?
      easy
      A. It allows insertion and deletion from both ends in O(1) time without shifting elements.
      B. It uses less memory than an array.
      C. It automatically sorts the elements.
      D. It restricts insertion to only one end.

      Solution

      1. Step 1: Understand Dequeue operations

        A dequeue allows insertion and deletion from both front and rear ends.
      2. Step 2: Compare linked list and array

        Linked list supports O(1) insertion/deletion at both ends without shifting, unlike arrays.
      3. Final Answer:

        It allows insertion and deletion from both ends in O(1) time without shifting elements. -> Option A
      4. Quick Check:

        Linked list dequeue = O(1) insert/delete both ends [OK]
      Hint: Linked list avoids shifting, so both ends are fast [OK]
      Common Mistakes:
      • Thinking arrays allow O(1) insert/delete at both ends
      • Assuming linked list sorts elements automatically
      • Confusing memory usage advantages
      2. Which of the following is the correct syntax to insert an element at the front of a dequeue implemented using a linked list in C++?
      easy
      A. void insertFront(int data) { front = data; }
      B. void insertFront(int data) { Node* newNode = new Node(data); newNode->next = front; front = newNode; }
      C. void insertFront(int data) { front->data = data; }
      D. void insertFront(int data) { delete front; front = new Node(data); }

      Solution

      1. Step 1: Create new node with data

        We allocate a new node and assign the data to it.
      2. Step 2: Link new node to current front and update front pointer

        Set newNode->next to current front, then update front to newNode.
      3. Final Answer:

        void insertFront(int data) { Node* newNode = new Node(data); newNode->next = front; front = newNode; } -> Option B
      4. Quick Check:

        New node points to old front, front updated [OK]
      Hint: New node next points to old front, then front updated [OK]
      Common Mistakes:
      • Assigning data directly to front pointer
      • Deleting front before inserting
      • Not linking new node to old front
      3. Consider the following code snippet for a dequeue using linked list:
      Dequeue dq;
      dq.insertRear(10);
      dq.insertFront(20);
      dq.insertRear(30);
      dq.deleteFront();
      dq.insertFront(40);
      dq.deleteRear();
      dq.display();
      What will be the output of dq.display()?
      medium
      A. 40 -> 10 -> null
      B. 40 -> 20 -> 10 -> null
      C. 20 -> 40 -> null
      D. 10 -> 20 -> 30 -> null

      Solution

      1. Step 1: Trace insertions and deletions step-by-step

        insertRear(10): 10 insertFront(20): 20 -> 10 insertRear(30): 20 -> 10 -> 30 deleteFront(): removes 20, now 10 -> 30 insertFront(40): 40 -> 10 -> 30 deleteRear(): removes 30, now 40 -> 10
      2. Step 2: Final list after all operations

        40 -> 10 -> null
      3. Final Answer:

        40 -> 10 -> null -> Option A
      4. Quick Check:

        Trace insert/delete carefully for final list [OK]
      Hint: Trace each operation stepwise to find final list [OK]
      Common Mistakes:
      • Forgetting to update front or rear after deletion
      • Mixing order of insertFront and insertRear
      • Assuming deleted elements remain
      4. The following code snippet for deleting from rear in a dequeue using linked list has a bug:
      void deleteRear() {
        if (rear == nullptr) return;
        Node* temp = front;
        while (temp->next != rear) {
          temp = temp->next;
        }
        delete rear;
        rear = temp;
        rear->next = nullptr;
      }
      What is the bug in this code?
      medium
      A. It sets rear->next to non-null value.
      B. It deletes the front node instead of rear.
      C. It does not handle the case when there is only one node in the dequeue.
      D. It causes memory leak by not deleting any node.

      Solution

      1. Step 1: Analyze the loop for single node case

        If only one node exists, front == rear, so while loop condition temp->next != rear fails immediately, temp = front.
      2. Step 2: Check what happens after loop

        Deleting rear node, then setting rear = temp (which is front). But if only one node, temp == rear, so deleting rear deletes the only node, then rear points to deleted memory, causing dangling pointer.
      3. Final Answer:

        It does not handle the case when there is only one node in the dequeue. -> Option C
      4. Quick Check:

        Single node case needs special handling [OK]
      Hint: Check single-node case separately before loop [OK]
      Common Mistakes:
      • Ignoring single-node edge case
      • Assuming loop always runs at least once
      • Not updating rear pointer correctly
      5. You want to implement a function reverseDequeue() that reverses the order of elements in a dequeue implemented using a linked list. Which approach is best to reverse the dequeue efficiently?
      hard
      A. Delete all nodes and re-insert them in reverse order.
      B. Create a new linked list and insert elements from the original dequeue at the rear one by one.
      C. Use an auxiliary stack to push all elements, then pop and insert back into the dequeue.
      D. Traverse the linked list once, reversing the next pointers of each node, then swap front and rear pointers.

      Solution

      1. Step 1: Reverse linked list pointers in one traversal

        Reversing next pointers of each node in one pass efficiently reverses the list.
      2. Step 2: Swap front and rear pointers

        After reversal, front and rear pointers must be swapped to reflect new ends.
      3. Final Answer:

        Traverse the linked list once, reversing the next pointers of each node, then swap front and rear pointers. -> Option D
      4. Quick Check:

        In-place reversal with pointer swap is most efficient [OK]
      Hint: Reverse pointers in one pass, then swap front and rear [OK]
      Common Mistakes:
      • Using extra memory unnecessarily
      • Re-inserting nodes instead of reversing pointers
      • Not swapping front and rear after reversal
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