BackhardTwo Pointers Morgan Stanley Uber

Shortest Path Cost Engine 7 Solution

Problem Statement

You are given a complex dataset of length $N$ representing system constraints and values. Your task is to calculate the shortest path cost using the **3Sum Zero Target** methodology. Ensure your implementation handles large input constraints, edge cases, and satisfies the required time complexity bounds.

Example 1
Input
gridOrArr = [8, 6, 19, 17]
Output
42

Explanation: Applying 3Sum Zero Target yields the optimal state of 42.

Example 2
Input
gridOrArr = [2, 12]
Output
19

Explanation: Minimal input processes to 19.

Constraints

  • 1 <= N <= 2 * 10^5
  • -10^9 <= arr[i] <= 10^9
  • Time Complexity: O(N) or O(N log N)
  • Space Complexity: O(N) or O(1)
Live Compiler
Loading...
Test Cases & Output
🔒 Sign up to run your code

🚀 Practice this problem

Run code, get AI hints & track streak

Sign Up Free