BackeasySliding Window Accenture Swiggy

Minimized Capacity Window 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 minimized capacity window according to the target algorithm rules. Formally, analyze the data sequence, process edge cases, and return the exact optimal result.

Example 1
Input
arr = [1, 2, 3, 4]
Output
20

Explanation: By processing the sequence using Fixed Length Window, the computed optimal value is 20.

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

Explanation: Minimal sequence evaluated to 2.

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 Sliding Window Problems

Maximum Average SubsequenceeasyMax Average SubarrayeasyMinimized Capacity WindoweasyMinimized Range Extenteasy
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