linear programing

slide 17 Evaluate the profit function at each vertex. P = 0.04x + 0.05y + 0.06(16 - x - y)

.79 .67 .84 .76

slide 7 Evaluate P = 50x + 80y at each vertex of the feasible region. (0, 0) P = (0, 15) P = (6, 12) P =

0 1200 1260

slide 14 Complete the constraints. A: x >= B: y >= and y <= C: 16 - x - y >= x 16 - x - y <= 16 - x - y <=

1 1 2 1 7 4

slide 9 The manufacturer can earn a maximum profit of $_________ by producing ________ chairs and______ sofas

1,260 6 12

slide 16

2 3 4 6

slide 11 The objective function is C =____ x + ____y.

22 25

slide 5 Use the objective function P = 50x + 80y to calculate the profit at each point (0, 5) P = (1, 12) P = (4, 10) P =

400 1010 1000

slide 11 The minimum cost is $___ and occurs at ___

546 (18,6)

You can earn a maximum profit of $ by investing $ in stock A, $ in stock B, and $ in stock C.

870 3,000 6,000 7,000

slide three Let x represent the number of chairs and y represent the number of sofas. Choose the function that represents the manufacturer's profit, P.

B

Let x represent the number of chairs and y represent the number of sofas. Choose the function that represents the manufacturer's profit, P. ( slide three )

B P = 50x + 80y

slide 16 Which graph shows the feasible region for constraints x mc001-1.jpg 1; y mc001-2.jpg 1; y mc001-3.jpg 2x; y mc001-4.jpg -x + 15; y mc001-5.jpg -5x + 16; and y mc001-6.jpg -x + 9?

c