How can you determine the amount of memory used by an algorithm during execution?

The amount of memory used by an algorithm is usually estimated through an analysis of space complexity. This considers:

• The size of input data.
• Additional data structures created by the algorithm.
• Recursive calls and call stack.

In Python, the sys module can be used to estimate the size of individual objects, for example:

import sys

my_list = [1, 2, 3]
print(sys.getsizeof(my_list))  # size of the list object in bytes

For more comprehensive memory analysis, profilers like memory_profiler can be used.

However, the memory volume is usually estimated theoretically by analyzing the algorithm and its data structures.