Big O(n!) Complexity

The video tutorial discusses the rare and impractical complexity of O(N!) or factorial time complexity. It explains that this complexity involves adding a nested loop for every element in an array, making it highly inefficient and almost impossible to encounter in real-world coding scenarios. The tutorial emphasizes the importance of being aware of this complexity, despite its impracticality, and concludes with a reminder of its significance in understanding scalability issues.

Why is ON factorial complexity considered rare and almost impossible to encounter?

Evaluate responses using AI:

OFF

What does ON factorial complexity imply in terms of nested loops?

Evaluate responses using AI:

OFF

How does the increase in the number of items affect the performance of a program with ON factorial complexity?

Evaluate responses using AI:

OFF

What is the significance of understanding the scalability issues related to ON factorial complexity?

Evaluate responses using AI:

OFF

What should one be aware of regarding ON factorial complexity, according to the lecture?

Evaluate responses using AI:

OFF