Answer:
I'm pretty sure it's photogenic drawing.
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:
A dynamic model accounts for time-dependent changes in the state of the system,
while a static model calculates the system in equilibrium, and thus is time-invariant.
Dynamic models typically are represented by differential equations or difference equations
