Count Special Quadruplets
What is this problem about?
The "Count Special Quadruplets interview question" is an array-based counting problem. You are given an array of integers and need to find the number of distinct quadruplets of indices (a,b,c,d) such that a<b<c<d and nums[a] + nums[b] + nums[c] == nums[d]. This is a variation of the classic "3Sum" problem, but with the target value being an element of the array itself located at a later index.
Why is this asked in interviews?
Companies like Microsoft and Meta ask the "Count Special Quadruplets coding problem" to test a candidate's ability to optimize nested loops. While a brute-force O(N4) solution is possible for small arrays, interviewers often look for O(N3) or even O(N2) solutions using hash maps. It evaluates "Hash Table interview pattern" and "Enumeration" skills.
Algorithmic pattern used
This problem can be solved using Optimized Enumeration with a Hash Map.
- Iterative Search: The condition is nums[a]+nums[b]=nums[d]−nums[c].
- Reverse Pass Logic:
- Iterate through index b from right to left.
- For a fixed b, we look at all a<b to find sums nums[a]+nums[b].
- Simultaneously, we maintain a map of all differences nums[d]−nums[c] where d>c>b.
- Simplification (O(N3)): Most candidates solve this in O(N3) by fixing a,b,c and counting how many nums[d] equal the sum in the suffix of the array.
Example explanation
Array: [1, 2, 3, 6]
- a=0,b=1,c=2: 1+2+3=6.
- Check if index 3 is '6'. Yes.
Result: 1.
Array:
[1, 1, 1, 3, 5]
- a=0,b=1,c=2: 1+1+1=3. 3 is at index 3. (Count = 1)
- No other quadruplet sums to a value at a later index.
Result: 1.
Common mistakes candidates make
- Index Order: Forgetting the a<b<c<d constraint and including pairs that appear out of order.
- Brute Force TLE: Using four nested loops on an array of size 5000 (though usually the constraints for this specific problem are small enough for O(N3)).
- Duplicate Values: Failing to handle multiple occurrences of the same sum.
Interview preparation tip
Whenever you need to find a sum of elements matching another element, think about splitting the equation (A+B+C=DightarrowA+B=D−C). This "Two Sum" style transformation is a powerful way to reduce the complexity of counting problems.