Is Maximum Product Pair With Target Sum easy or hard?

It is an easy problem with an acceptance rate of about 43.5%. The core idea is a complement lookup, which you can learn quickly. The main challenge is handling duplicate values and making sure the two indices are distinct.

Maximum Product Pair With Target Sum Python solution?

In Python, create a set, loop through the array, and for each number check whether target - num is in the set. If it is, update the answer with num * (target - num) , then add num to the set. Return the maximum product, or -1 if no pair was found.

How to solve Maximum Product Pair With Target Sum in O(n)?

Iterate through the array while storing each value in a hash set. For every element x , compute target - x and check the set. If the complement exists, compute x * (target - x) and update the maximum. Handle the case where a value pairs with itself by requiring two occurrences.

What is the best approach for Maximum Product Pair With Target Sum?

The best approach is a hash map complement lookup. Scan the array once, store values you have seen, and check whether target - x already exists for each element x . This runs in O(n) time with O(n) extra space.

What data structure is used in Maximum Product Pair With Target Sum?

The optimal solution uses a hash set or hash map to store seen values for constant-time complement lookups. The sort and two pointer approach uses the array itself with pointers and needs no extra structure beyond sorting.

What is the time complexity of Maximum Product Pair With Target Sum?

The optimal hash map solution runs in O(n) time and O(n) space. The brute force version checks every pair in O(n²) time with O(1) space. The sort and two pointer version runs in O(n log n) time with O(1) extra space.

Is Maximum Product Pair With Target Sum asked at Google, Amazon, or Meta?

This problem is tagged as General in the source data, so it is not tied to a specific company list. It tests hash map usage and pair search logic, which appear in many interviews at Google, Amazon, and Meta. Practice the hash map pattern because it transfers to many similar questions.

4074. Maximum Product Pair With Target Sum - Practice Online

You are given an integer array nums and an integer target.

A pair of distinct indices (i, j) is valid if:

nums[i] + nums[j] == target
nums[i] > nums[j]

Return a valid pair [i, j] whose product nums[i] * nums[j] is maximum among all valid pairs. If no valid pair exists, return [-1, -1].

If multiple valid pairs achieve the maximum product, you may return any of them.

Example 1:

Input: nums = [1,2,3,4], target = 5

Output: [2,1]

Explanation:

There are 2 valid pairs:

No.	`(i, j)`	`nums[i]`	`nums[j]`	Sum	Product
1	(3, 0)	4	1	5	4
2	(2, 1)	3	2	5	6

Both pairs sum to 5 and satisfy nums[i] > nums[j]. The second pair has the larger product, 3 * 2 = 6, so the answer is [2, 1].

Example 2:

Input: nums = [-3,-1,4,2], target = 1

Output: [3,1]

Explanation:

There are 2 valid pairs:

No.	`(i, j)`	`nums[i]`	`nums[j]`	Sum	Product
1	(2, 0)	4	-3	1	-12
2	(3, 1)	2	-1	1	-2

Since -2 > -12, the pair at indices (3, 1) is chosen and the answer is [3, 1].

Example 3:

Input: nums = [3,3,5], target = 6

Output: [-1,-1]

Explanation:

No valid pair exists, since nums[0] and nums[1] sum to 6 but are equal.

Constraints:

2 <= nums.length <= 100
-100 <= nums[i], target <= 100