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 of storing results in a single variable during iterations?

• O(1)

• O(n)

• O(log n)

• O(n^2)

Explain why the space complexity is O(1) when overwriting the same variable in a loop.

What happens to space complexity when you append results to a list for each element?

How does the space complexity change if you need to store extra space for each element?

• It remains O(1)

• It becomes O(n)

• It becomes O(log n)

• It becomes O(n^2)

Summarize the key points discussed regarding space complexity in the lecture.