Donna Young would like to forecast the daily demand for pizza crust using the algorithm below. Apply the algorithm to the given inputs in the Table.

Inputs:

• C = an array of N integer variables
• N = the number of integer variables in array C
• v(i) = integer variable representing sales of the day i in the array

Algorithm:

• step 1: set min = 100, i = 1, and forecast = 0.
• step 2: select pizza crust sales of day i from the list.
• step 3: if v(i) < min, then set min = v(i). If v(i) > min, min = min.
• step 4: if i < N, then set i = i + 1 and go to step 2, otherwise go the step 5.
• step 5: forecast = (min + v(i)).
• end
• Output: forecast

Table. Daily pizza crust demand (in units) for the last 7 days

Day (i)	1	2	3	4	5	6	7
Pizza crust demand (in units) (v(i))	87	87	99	77	88	65	96

If the algorithm is applied to the data array in Table, what would be the output "forecast" Donna Young will get at the end of the algorithm?