Enqueue Operation in DSA Typescript - Time & Space Complexity
We want to understand how the time to add an item to a queue changes as the queue grows.
How does the enqueue operation's speed depend on the number of items already in the queue?
Analyze the time complexity of the enqueue operation in a queue implemented with a linked list.
class QueueNode {
value: number;
next: QueueNode | null = null;
constructor(value: number) {
this.value = value;
}
}
class Queue {
tail: QueueNode | null = null;
head: QueueNode | null = null;
enqueue(value: number): void {
const newNode = new QueueNode(value);
if (!this.tail) {
this.head = newNode;
this.tail = newNode;
return;
}
this.tail.next = newNode;
this.tail = newNode;
}
}
This code adds a new item to the end of the queue using a linked list.
Look for loops or repeated steps that grow with input size.
- Primary operation: Adding a new node and updating pointers.
- How many times: Exactly once per enqueue call, no loops involved.
Each enqueue adds one node by updating a few pointers, no matter how big the queue is.
| Input Size (n) | Approx. Operations |
|---|---|
| 10 | 3-4 pointer updates |
| 100 | 3-4 pointer updates |
| 1000 | 3-4 pointer updates |
Pattern observation: The number of steps stays the same regardless of queue size.
Time Complexity: O(1)
This means adding an item takes the same short time no matter how many items are already in the queue.
[X] Wrong: "Enqueue takes longer as the queue grows because it has to find the end each time."
[OK] Correct: The queue keeps a direct pointer to the end (tail), so it does not search; it just updates pointers quickly.
Understanding that enqueue is fast and constant time helps you explain efficient queue operations clearly in interviews.
What if the queue was implemented using an array without a tail pointer? How would the enqueue time complexity change?
Practice
enqueue operation do in a queue data structure?Solution
Step 1: Understand the queue structure
A queue works like a line where elements are added at the back and removed from the front.Step 2: Define the enqueue operation
Enqueue means adding a new element to the end of the queue, so it waits its turn.Final Answer:
Adds an element to the end of the queue -> Option AQuick Check:
Enqueue = Add at end [OK]
- Confusing enqueue with dequeue (removal)
- Thinking enqueue checks queue size
- Assuming enqueue removes elements
5 to a queue represented by an array queue?Solution
Step 1: Identify array methods for queue operations
In TypeScript,pushadds an element at the end, which matches enqueue.Step 2: Match enqueue with correct method
popremoves from end,shiftremoves from front,unshiftadds at front. So onlypushadds at the end.Final Answer:
queue.push(5); -> Option BQuick Check:
Enqueue uses push() to add at end [OK]
- Using pop() which removes instead of adds
- Using shift() or unshift() which affect front of queue
- Confusing push() with unshift()
let queue: number[] = [10, 20, 30]; queue.push(40); queue.push(50);
Solution
Step 1: Start with initial queue
The queue starts as [10, 20, 30].Step 2: Apply enqueue operations
First, push(40) adds 40 at the end: [10, 20, 30, 40]. Then push(50) adds 50 at the end: [10, 20, 30, 40, 50].Final Answer:
[10, 20, 30, 40, 50] -> Option AQuick Check:
push adds at end, final queue = [10,20,30,40,50] [OK]
- Thinking push adds at front
- Ignoring second push operation
- Confusing push with pop or shift
25 to a queue represented by an array queue:let queue: number[] = [5, 10, 15]; queue.pop(25);
Solution
Step 1: Understand pop() method behavior
pop() removes the last element from the array and does not accept any arguments.Step 2: Identify misuse of pop()
Calling pop(25) is incorrect because pop() cannot add elements; it only removes.Final Answer:
pop does not take arguments and removes from the end -> Option DQuick Check:
pop() removes, push() adds [OK]
- Using pop() to add elements
- Confusing shift() and pop()
- Passing arguments to pop()
Solution
Step 1: Understand push with multiple arguments
push() can take multiple arguments and adds them in order at the end of the array.Step 2: Analyze each option
queue.push(100, 200, 300); adds 100, 200, 300 in order at the end. queue.push([100, 200, 300]); adds a single array element, nesting the array. queue.unshift(100, 200, 300); adds elements at the front, reversing order. queue.pop(100); queue.pop(200); queue.pop(300); uses pop which removes elements, not adds.Final Answer:
queue.push(100, 200, 300); -> Option CQuick Check:
push(...items) adds all at end in order [OK]
- Using push with array argument nests array
- Using unshift adds at front, reversing order
- Using pop to add elements
Ready to prove it?
Pass the test and this pattern moves unknown
