Answer:
D. at the intersection of at least two constraints.
Explanation:
Linear programming is an optimization technique which is fine for the purpose of getting the best solution such as maximizing profit or certain o 4th era quantities. It is fine by modelling real life problems into mathematical models that have linear relationships or constraints such as in the form of objective functions. In linear programming, an objective function defines the formula for quantity optimization and the goal from this is to determine variable values that maximize or minimize the objective function depending on the problem robbery solved.
Answer:
Archiving data files manages the size of a mailbox for
✔ local
storage.
Creating an Outlook data file
✔ protects
data files in storage on a computer.
Explanation:
Because its right.
Answer:
name = []
price = []
for i in range(0,8):
item_name = input('name of item')
item_price = input('price of item')
name.append(item_name)
price.append(item_price)
for i in range(0, 8):
print(name[i], '_____', price[i])
Explanation:
Python code
Using the snippet Given :
Apples 2.10
Hamburger 3.25
Milk 3.49
Sugar 1.99
Bread 1.76
Deli Turkey 7.99
Pickles 3.42
Butter 2.79
name = []
price = []
#name and price are two empty lists
for i in range(0,8):
#Allows users to enter 8 different item and price choices
item_name = input('name of item')
item_price = input('price of item')
#user inputs the various item names and prices
#appends each input to the empty list
name.append(item_name)
price.append(item_price)
for i in range(0, 8):
print(name[i], '_____', price[i])
# this prints the name and prices of each item from the list.
It has allowed for better organization, faster communication, and more advanced actions that people can't complete
Te ajut eu daca vrei tu la refera