BackeasyDynamic Programming PhonePe Wipro

Cumulative Interval Partition Solution

Problem Statement

You are given an array or sequence of length $N$ representing numerical values or system metrics. Your task is to compute the cumulative interval partition according to the target algorithm rules. Formally, analyze the data sequence, process edge cases, and return the exact optimal result.

Example 1
Input
arr = [7, 2, 7, 12]
Output
9

Explanation: By processing the sequence using Knapsack State, the computed optimal value is 9.

Example 2
Input
arr = [6, 12]
Output
14

Explanation: Minimal sequence evaluated to 14.

Constraints

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

More Dynamic Programming Problems

Cumulative Subsequence SumeasyCumulative Path WeighteasyCumulative Interval PartitioneasyCumulative Capacity Windoweasy
View all problems →
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