BackhardDynamic Programming Cred Google

Monotonic Threshold Span Resolver Solution

Problem Statement

Given a high-dimensional input dataset or state graph of length $N$, calculate the optimal result using the **Divide and Conquer DP** algorithm. Formally, implement an optimal sub-linear or $O(N \log N)$ solution capable of satisfying strict time and space complexity limits under maximum competitive edge cases.

Example 1
Input
arr = [12, 6, 20, 14]
Output
17

Explanation: By applying Divide and Conquer DP, the optimal hard constraint value evaluates to 17.

Example 2
Input
arr = [4, 11]
Output
28

Explanation: Minimal edge input evaluates to 28.

Constraints

  • 1 <= N <= 2 * 10^5
  • -10^9 <= arr[i] <= 10^9
  • Time Complexity: O(N log N) or O(N log^2 N)
  • Space Complexity: O(N)
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