Data Structures and Algorithms The Complete Masterclass - Simplifying Big O - Part 2

The lecture covers the concept of Big O complexity, focusing on simplification rules and identifying dominant terms. It explains how to handle nested loops and constants in complexity calculations. The session concludes with a preview of the next lecture on rare complexities like Big O of North factorial.

What is the Big O complexity of a single assignment operation?

• O(n)

• O(1)

• O(n^2)

• O(log n)

When simplifying Big O notation, what should be removed first?

• The dominant term

• The non-dominant terms

• The constants

• The variables

In the expression 3N^2 + 3N + 500, which term is considered dominant?

• 500

• None of the above

• 3N

• 3N^2

What is the final simplified Big O notation for the function discussed in the lecture?

• O(n)

• O(n^2)

• O(n^3)

• O(log n)

Which of the following complexities is considered rare and was introduced at the end of the lecture?

• O(n!)

• O(n log n)

• O(n^2)

• O(1)