
In this problem, we are tasked with finding the maximum possible sum of two distinct elements from a given array of integers, such that this sum is less than a provided threshold k. Specifically, we need to identify two indices i and j (with i < j) where the sum of nums[i] and nums[j] is the highest possible under the constraint that it must be less than k. If no such pair exists that conforms to these rules, the function should return -1.
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1 <= nums.length <= 1001 <= nums[i] <= 10001 <= k <= 2000To solve this problem, our goal is to maximize the sum of two numbers from the array while ensuring that their sum is less than the given limit k. Here's a systematic way to approach this:
nums. Sorting helps in efficiently finding pairs that satisfy the given condition by using a two-pointer technique.left) at the beginning of the array and the other (right) at the last element.max_sum to keep track of the maximum sum encountered that is also less than k.left and right pointers.k, compare it with max_sum and update max_sum if this sum is greater.k, increase the left pointer to try and get a larger sum.k, decrease the right pointer to reduce the sum.left pointer is not less than the right pointer.max_sum. If it has changed from its initial value (suggesting a valid sum was found), return it. Otherwise, return -1, indicating no valid pair was found.By following this method, we efficiently search for the highest pair sum under the given constraints without needing to check all possible pairs, thus optimizing the process.
The solution for the "Two Sum Less Than K" problem in C++ involves finding the maximum sum of pairs in an array whose sum is less than a specified value K (here indicated as limit). The given approach uses a two-pointer technique combined with a frequency array to efficiently solve the problem.
bestSum to -1, to handle cases where no valid pair sum exists.arr.arr.left and right, initially set to 1 and 1000 respectively, to explore potential pairs.left is greater than right.left and right is greater than or equal to limit or if there are no occurrences of right in arr, decrement right.left is sufficient (considering if left equals right, at least 2 occurrences are needed), update bestSum with the maximum of bestSum and the current sum of left and right. Then, increment left.bestSum, which holds the maximum sum of any pair with a sum less than limit found in the array.This method is efficient as it avoids the naive O(n^2) complexity associated with checking all possible pairs directly, leveraging the counting sort principle and two-pointer strategy to locate the optimal pair.
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