How do you solve 4Sum II: count tuples from four arrays whose values sum to zero?
PICTURE THIS: ARRAY IN MEMORY
Index starts at 0. Scan once for max — O(n).
Simple meaning
Hash all sums of A[i]+B[j], then for each C[k]+D[l] add the count of the negated sum.
WHY — Hashing instead of guessing?
Why interviewers care about Hashing:
question about Hashing.
trade-offs, and what you would actually do on a DSA project - not buzzwords.
Name the idea, why it exists, then one short example.
End with when you use it and one common pitfall.
STEPS — What happens step by step?
Before you speak the answer, walk the interviewer through these steps:
- 1Hash all sums of
A[i]+B[j], then for each C[k]+D[l] add the count of the negated sum.
- 2Time is O(n^2) and
space is O(n^2), which beats O(n^4) brute force.
- 3Splitting four arrays into
two pairs is the key insight to mention.
- 4Give an example
One tiny concrete case you can say aloud.
- 5Common mistake
What juniors usually get wrong.
- 6Close
When you pick this over the alternative.
EXAMPLE — See it in action
Here's a short line you can speak, broken into clear beats:
Note: Adapt this scaffold to your own project — keep it under 60–90 seconds.
Key takeaway
Hash all sums of A[i]+B[j], then for each C[k]+D[l] add the count of the negated sum. Time is O(n^2) and space is O(n^2), which beats O(n^4) brute force.