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INTEGRATED MATH 2 INEQUALITIES: LINEAR PROGRAMMING 1. Linear Programming: Mathematical procedure to find values of variables that satisfy a set of linear constraints and optimize the value of a linear objective function.

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Page 1: INTEGRATED MATH 2 INEQUALITIES: LINEAR PROGRAMMING 1.Linear Programming: Mathematical procedure to find values of variables that satisfy a set of linear

INTEGRATED MATH 2INEQUALITIES: LINEAR

PROGRAMMING1. Linear Programming:

Mathematical procedure to find values of variables that satisfy a set of linear constraints and optimize the value of a linear objective function.

Page 2: INTEGRATED MATH 2 INEQUALITIES: LINEAR PROGRAMMING 1.Linear Programming: Mathematical procedure to find values of variables that satisfy a set of linear

2. Constraint: A limitation on values that variables may assume in a problem situation.

3. Objective function: An algebraic expression whose value is to be optimized within the constraints of the problem.

Page 3: INTEGRATED MATH 2 INEQUALITIES: LINEAR PROGRAMMING 1.Linear Programming: Mathematical procedure to find values of variables that satisfy a set of linear

BALANCING ASTRONAUT DIETS

For some people, athletes and astronauts in particular,

selection of a good diet is a carefully planned scientific process. The goal might be minimal total food weight onboard the spacecraft.

Page 4: INTEGRATED MATH 2 INEQUALITIES: LINEAR PROGRAMMING 1.Linear Programming: Mathematical procedure to find values of variables that satisfy a set of linear

Consider the following version of the problem facing NASA

flight planners who must provide food for astronauts.

Suppose there are two kinds of food to be carried on a space shuttle trip, special food bars and cartons of a special drink.

Page 5: INTEGRATED MATH 2 INEQUALITIES: LINEAR PROGRAMMING 1.Linear Programming: Mathematical procedure to find values of variables that satisfy a set of linear

• Each food bar provide 5 grams of fat, 40 grams of carbohydrate, and 8 grams of protein.• Each drink carton provide 6

grams of fat, 25 grams of carbohydrate, and 15 grams of protein.

Page 6: INTEGRATED MATH 2 INEQUALITIES: LINEAR PROGRAMMING 1.Linear Programming: Mathematical procedure to find values of variables that satisfy a set of linear

• Minimum daily requirements for each astronaut are at least 61 grams of fat, 350 grams of carbohydrates and 103 grams of protein.• Each food bar weighs 65

grams and each drink weighs 118 grams.

Page 7: INTEGRATED MATH 2 INEQUALITIES: LINEAR PROGRAMMING 1.Linear Programming: Mathematical procedure to find values of variables that satisfy a set of linear

The goal is to find a combination of food bars and drinks that will fulfill daily requirements of fat, carbohydrate, and protein with minimum total weight onboard the spacecraft.

Page 8: INTEGRATED MATH 2 INEQUALITIES: LINEAR PROGRAMMING 1.Linear Programming: Mathematical procedure to find values of variables that satisfy a set of linear

a. For each of these numbers of food bars and drink cartons, check to see if they provide at least the daily minimums of fat, carbohydrate, and protein. Then find the total weight of each feasible combination.

Page 9: INTEGRATED MATH 2 INEQUALITIES: LINEAR PROGRAMMING 1.Linear Programming: Mathematical procedure to find values of variables that satisfy a set of linear

i. 4 food bars and 10 cartons of drink

ii. 10 food bars and 4 cartons of drink

iii. 4 food bars and 4 cartons of drink

iv. 10 food bars and 10 cartons of drink

Page 10: INTEGRATED MATH 2 INEQUALITIES: LINEAR PROGRAMMING 1.Linear Programming: Mathematical procedure to find values of variables that satisfy a set of linear

b. Record your findings on a copy of the graph included in the materials for this lesson on the learning platform. The case of 4 food bars and 10 drink cartons has been plotted already.

Page 11: INTEGRATED MATH 2 INEQUALITIES: LINEAR PROGRAMMING 1.Linear Programming: Mathematical procedure to find values of variables that satisfy a set of linear

c. Collaborate with others to test the remaining lattice points on the grid to get a picture of the feasible region, the points with coordinates that meet all constraints.

Page 12: INTEGRATED MATH 2 INEQUALITIES: LINEAR PROGRAMMING 1.Linear Programming: Mathematical procedure to find values of variables that satisfy a set of linear

Problems that can be solved by linear programming have several common features: variables, constraints, and an objective.A. What are the variables,

constraints, and objective in the astronaut diet problem?

Page 13: INTEGRATED MATH 2 INEQUALITIES: LINEAR PROGRAMMING 1.Linear Programming: Mathematical procedure to find values of variables that satisfy a set of linear

B. What are feasible points and the feasible region in a linear programming problem?

C. What do coordinates of the feasible points and the “not feasible” points tell you in the astronaut diet problem?

Page 14: INTEGRATED MATH 2 INEQUALITIES: LINEAR PROGRAMMING 1.Linear Programming: Mathematical procedure to find values of variables that satisfy a set of linear

A. The variables for the astronaut diet problem are the number of food bars and the number of drink cartons. The constraints of the problem are the amounts of fat, carbohydrate and protein that are required. The objective is to minimize the weight of the food onboard the spacecraft.

Page 15: INTEGRATED MATH 2 INEQUALITIES: LINEAR PROGRAMMING 1.Linear Programming: Mathematical procedure to find values of variables that satisfy a set of linear

B. A feasible point is a point that satisfies all of the constraints of the problem. The feasible region contains all of the feasible points.

Page 16: INTEGRATED MATH 2 INEQUALITIES: LINEAR PROGRAMMING 1.Linear Programming: Mathematical procedure to find values of variables that satisfy a set of linear

C. The coordinates of feasible points tell a combination of food bars and drinks that will meet the nutrition requirements. A “not feasible” point does not satisfy at least one of the constraints. It tells you that the food bars and drinks should not be considered a solution.

Page 17: INTEGRATED MATH 2 INEQUALITIES: LINEAR PROGRAMMING 1.Linear Programming: Mathematical procedure to find values of variables that satisfy a set of linear

HOMEWORK PROBLEM:

The Junior Class of Oakland Mills High School sells drinks at the Columbia Fair to raise funds for the Junior Prom. The juniors mix and sell two drinks, Carnival Juice and Lemon Punch.

Page 18: INTEGRATED MATH 2 INEQUALITIES: LINEAR PROGRAMMING 1.Linear Programming: Mathematical procedure to find values of variables that satisfy a set of linear

• Each batch of Carnival Juice uses two liters of orange juice and two liters of lemonade.• Each batch of Lemon Punch

uses one liter of orange juice and three liters of lemonade.• The students have 120 liters

of orange juice and 200 liters of lemonade to use.

Page 19: INTEGRATED MATH 2 INEQUALITIES: LINEAR PROGRAMMING 1.Linear Programming: Mathematical procedure to find values of variables that satisfy a set of linear

• The profit is $9 per batch on the Carnival Juice and $12 per batch on the Lemon Punch.

A. Test the feasibility of these plans for mixing Carnival Juice and Lemon Punch.

Page 20: INTEGRATED MATH 2 INEQUALITIES: LINEAR PROGRAMMING 1.Linear Programming: Mathematical procedure to find values of variables that satisfy a set of linear

Plan 1: 40 batches of Carnival Juice and 20 batches of Lemon Punch

Plan 2: 30 batches of Carnival Juice and 30 batches of Lemon Punch

Plan 3: 40 batches of Carnival Juice and 50 batches of Lemon Punch

Page 21: INTEGRATED MATH 2 INEQUALITIES: LINEAR PROGRAMMING 1.Linear Programming: Mathematical procedure to find values of variables that satisfy a set of linear

Plan 4: 50 batches of Carnival Juice and 20 batches of Lemon Punch

B. Find the profit that the Junior Class will earn from each feasible combination of batches of Carnival Juice and Lemon Punch in Part A.

Page 22: INTEGRATED MATH 2 INEQUALITIES: LINEAR PROGRAMMING 1.Linear Programming: Mathematical procedure to find values of variables that satisfy a set of linear

C. See if you can find a feasible combination of drink batches that results in higher profit than any of those in Part a.

Page 23: INTEGRATED MATH 2 INEQUALITIES: LINEAR PROGRAMMING 1.Linear Programming: Mathematical procedure to find values of variables that satisfy a set of linear

There is no more homework!!!I hope you have a great day and enjoy your day with no homework or quizzes. I will see you soon.