Q & A by Maninder Singh

Question:

QUESTION: How do you analyze the time and space complexity of an algorithm (Big O notation)?

Answer:

Big O notation is like a way to describe the efficiency of an algorithm in terms of its time and space requirements. It provides an upper bound on how an algorithm's performance scales with input size.