Space Complexity – Part 1

The video tutorial explains space complexity, focusing on how additional memory is required to run a program. It provides examples of constant space complexity (O(1)) and linear space complexity (O(N)), illustrating how space requirements change with input size. The tutorial concludes with a summary of these concepts, emphasizing the importance of understanding space complexity in programming.

What additional memory is required in the second example when calculating the cube of elements?

Summarize the key points about space complexity discussed in the text.