Queue Using Two Stacks in DSA Javascript - Time & Space Complexity
We want to understand how fast operations run when we build a queue using two stacks.
Specifically, how does the time to add or remove items grow as the queue gets bigger?
Analyze the time complexity of the following code snippet.
class QueueUsingStacks {
constructor() {
this.stackIn = [];
this.stackOut = [];
}
enqueue(value) {
this.stackIn.push(value);
}
dequeue() {
if (this.stackOut.length === 0) {
while (this.stackIn.length > 0) {
this.stackOut.push(this.stackIn.pop());
}
}
return this.stackOut.pop();
}
}
This code uses two stacks to add items to the queue and remove them in the correct order.
- Primary operation: Moving all items from
stackIntostackOutwhenstackOutis empty. - How many times: This move happens only when
stackOutis empty, so not every dequeue triggers it. - Other operations: Pushing to
stackInand popping fromstackOuthappen once per enqueue or dequeue.
When we add items, each enqueue is quick and takes the same time no matter how many items are in the queue.
When we remove items, sometimes we move many items at once, but this happens rarely.
| Input Size (n) | Approx. Operations |
|---|---|
| 10 | About 10 pushes and pops, with occasional moves of up to 10 items. |
| 100 | About 100 pushes and pops, with occasional moves of up to 100 items. |
| 1000 | About 1000 pushes and pops, with occasional moves of up to 1000 items. |
Pattern observation: Most operations are quick, but some take longer when moving items. Overall, the average time per operation stays steady.
Time Complexity: O(1) amortized per operation
This means on average, each add or remove action takes a constant amount of time, even if some removals take longer.
[X] Wrong: "Each dequeue always takes time proportional to the number of items in the queue because of moving stacks."
[OK] Correct: The moving happens only when the output stack is empty, so most dequeues are fast. The cost spreads out over many operations.
Understanding this helps you explain how clever data structures can keep operations fast on average, even if some steps look slow.
What if we moved items from stackIn to stackOut on every dequeue, not only when stackOut is empty? How would the time complexity change?
Practice
Queue using two stacks?Solution
Step 1: Understand queue order
A queue follows FIFO (First In First Out), so the first element added should be the first removed.Step 2: Use two stacks to reverse order twice
One stack reverses the order when pushing elements, and the second stack reverses it back when popping, preserving FIFO.Final Answer:
Use two stacks to reverse the order twice to maintain queue order -> Option AQuick Check:
Two stacks reverse order twice = Queue order [OK]
- Thinking one stack alone can maintain queue order
- Confusing stack sorting with queue behavior
- Using stacks for odd/even separation incorrectly
x onto a stack named stack1 in JavaScript?Solution
Step 1: Recall JavaScript stack push method
JavaScript arrays usepush()to add elements at the end, simulating stack push.Step 2: Verify other options
add(),insert(), andenqueue()are not valid array methods for pushing.Final Answer:
stack1.push(x); -> Option AQuick Check:
Array push method = stack1.push(x) [OK]
- Using enqueue() which is for queues, not stacks
- Using add() or insert() which are not JavaScript array methods
- Confusing stack push with queue enqueue
class QueueTwoStacks {
constructor() {
this.stack1 = [];
this.stack2 = [];
}
enqueue(x) {
this.stack1.push(x);
}
dequeue() {
if (this.stack2.length === 0) {
while (this.stack1.length > 0) {
this.stack2.push(this.stack1.pop());
}
}
return this.stack2.pop();
}
}
const q = new QueueTwoStacks();
q.enqueue(10);
q.enqueue(20);
q.enqueue(30);
console.log(q.dequeue());
q.enqueue(40);
console.log(q.dequeue());Solution
Step 1: Trace enqueue operations
Elements 10, 20, 30 are pushed into stack1 in order: [10, 20, 30].Step 2: Trace first dequeue
stack2 is empty, so pop all from stack1 to stack2: stack2 becomes [30, 20, 10]. Then pop from stack2 returns 10.Step 3: Enqueue 40 and second dequeue
40 is pushed to stack1: [40]. stack2 still has [30, 20]. Dequeue pops from stack2 returning 20.Final Answer:
10 20 -> Option DQuick Check:
FIFO order maintained: 10 then 20 dequeued [OK]
- Assuming dequeue pops directly from stack1
- Not transferring all elements to stack2 before dequeue
- Mixing order of elements after transfer
dequeue() {
while (this.stack1.length > 0) {
this.stack2.push(this.stack1.pop());
}
return this.stack2.pop();
}Solution
Step 1: Analyze the transfer logic
The method transfers all elements from stack1 to stack2 every time dequeue is called, without checking if stack2 is empty.Step 2: Understand consequence
This causes new elements to be appended to stack2 (which may have remaining older elements), violating FIFO as new elements are popped before older ones.Final Answer:
It empties stack1 every dequeue without checking if stack2 is empty -> Option CQuick Check:
Transfer only if stack2.length === 0 [OK]
- Transferring elements every dequeue call
- Not checking if stack2 is empty before transfer
- Confusing which stack to pop from
enqueue and dequeue operations are both efficient. Which approach below achieves amortized O(1) time per operation?Solution
Step 1: Understand amortized O(1) with two stacks
Enqueue pushes to stack1 only. Dequeue pops from stack2. Transfer happens only when stack2 is empty, moving all elements from stack1 to stack2.Step 2: Analyze other options
Alternating pushes or pushing to both stacks simultaneously breaks queue order or wastes operations. Pushing all to stack2 and popping from stack1 is incorrect.Final Answer:
Push all elements to stack1 on enqueue; transfer to stack2 only when stack2 is empty during dequeue -> Option BQuick Check:
Lazy transfer on dequeue = amortized O(1) [OK]
- Transferring elements on every enqueue or dequeue
- Pushing to both stacks simultaneously
- Ignoring stack2 emptiness check before transfer
Ready to prove it?
Pass the test and this pattern moves unknown
