Data Structures and Algorithms The Complete Masterclass - Space Complexity – Part 2

The video tutorial discusses space complexity in coding, focusing on the difference between using a list and a single variable to store results. It explains that using a single variable results in O(1) space complexity, as it requires only one extra space regardless of the number of iterations. In contrast, using a list requires additional space for each element, leading to higher space complexity. The tutorial compares these approaches and concludes with a summary of the key points.

What is the space complexity when using a list to store results for each element?

• O(1)

• O(n)

• O(log n)

• O(n^2)

In the optimized approach, what is the space complexity when storing results in a single variable?

• O(log n)

• O(1)

• O(n^2)

• O(n)

Why does the optimized approach require only O(1) space complexity?

• Because it uses multiple variables for each result

• Because it uses a list to store results

• Because it stores all results in a single variable

• Because it does not store any results

What happens to the stored result in each iteration of the optimized approach?

• It is overwritten in the same variable

• It is stored in a new variable

• It is discarded

• It is appended to a list

How does the space complexity differ between the initial and optimized approaches?

• Both have O(n) complexity

• Both have O(1) complexity

• Initial is O(1) and optimized is O(n)

• Initial is O(n) and optimized is O(1)