Answer:
O(n) which is a linear space complexity
Explanation:
Space complexity is the amount of memory space needed for a program code to be executed and return results. Space complexity depends on the input space and the auxiliary space used by the algorithm.
The list or array is an integer array of 'n' items, with the memory size 4*n, which is the memory size of an integer multiplied by the number of items in the list. The listSize, i, and arithmeticSum are all integers, the memory space is 4(3) = 12. The return statement passes the content of the arithmetic variable to another variable of space 4.
The total space complexity of the algorithm is "4n + 16" which is a linear space complexity.
Answer:
Option A is correct
Explanation:
It would help in building the right architecture and configuration that would decrease those operations times by a large magnitude like uploading or updating large number of records.
Answer:
The code:
# Import math Library
import math
# Print the value of 2pi
print (math.pi * 2) ## output would be: 6.28318530718
Explanation:
