Big O for Proposed Algorithm

MediumPython

Problem

Explain the Big O notation for your proposed algorithm.

Implement explain_big_o(time_complexity, space_complexity) to return a concise explanation that identifies the algorithm's time and auxiliary-space growth, explains why Big O ignores constants and lower-order terms, and mentions worst-case analysis.

time_complexity and space_complexity are strings such as "O(n)" or "O(1)"; return a string.

Constraints

time_complexity is a non-empty string
space_complexity is a non-empty string
Complexity strings use standard Big O notation

Function Signature

def explain_big_o(time_complexity, space_complexity):

CodePython 3

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