4002 - Big-O

Maturity
Basic
Scope
Flow
Cycle

Big O notation is used to describe the time complexity of an algorithm. It represents the worst-case scenario of how an algorithm's performance scales with input size. Common notations include O(1) for constant time, O(n) for linear time, and O(n^2) for quadratic time. It helps analyze and compare algorithms' efficiency, focusing on the most significant factors impacting runtime, ignoring constants and lower-order terms.
To Center Best-Case
To Periphery Worst-Case

Links

:exclamation: :warning:
WARNING: This entry is marked as non-release and pending review.

:grey_exclamation: :page_with_curl:
This is the discussion topic for 4002 - Big-O.
Feel free to contribute or asking relevant questions.