Moderate Recursion Question 138 of 224

How do you generate all subsets of a set of n distinct numbers?

DSA interview set · Speak this in 60–90 seconds · Faridabad & Delhi NCR

PICTURE THIS: JAVASCRIPT EVENT LOOP

Call stackRun now
Web APIsWait (timer/fetch)
QueueCallbacks wait
LoopPull when empty

Simple meaning

Backtrack: at each index either include nums[i] or skip it, recording a copy when i reaches n.

1

WHY — Recursion instead of guessing?

Why interviewers care about Recursion:

This is a process

question about Recursion.

Panels listen for order,

trade-offs, and what you would actually do on a DSA project - not buzzwords.

Stay structured

Name the idea, why it exists, then one short example.

Close cleanly

End with when you use it and one common pitfall.

2

STEPS — What happens step by step?

Before you speak the answer, walk the interviewer through these steps:

  1. 1
    Backtrack: at each index

    either include nums[i] or skip it, recording a copy when i reaches n.

  2. 2
    There are 2^n subsets,

    so time is O(n * 2^n) to copy lists and space is O(n) for the call stack besides the output.

  3. 3
    Bit masks from 0

    to 2^n-1 are the iterative twin.

  4. 4
    Give an example

    One tiny concrete case you can say aloud.

  5. 5
    Common mistake

    What juniors usually get wrong.

  6. 6
    Close

    When you pick this over the alternative.

3

EXAMPLE — See it in action

Here's a short line you can speak, broken into clear beats:

Say this line
“There are 2^n subsets, so time is O(n * 2^n) to copy lists and space is O(n) for”
Break into beats
Thereare2nsubsetsso
Speaking order
2987408337471632900

Note: Adapt this scaffold to your own project — keep it under 60–90 seconds.

Key takeaway

Backtrack: at each index either include nums[i] or skip it, recording a copy when i reaches n. There are 2^n subsets, so time is O(n * 2^n) to copy lists and space is O(n) for the call stack besides the output.

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