Question: 4 Multivariate derivatives and LP optimization 1 . Find the derivatives for the following function: a . = ( , ) = 2 + 2

4 Multivariate derivatives and LP optimization
1. Find the derivatives for the following function:
a.=(,)=2+24
Find the partial derivates
and
2. An agricultural supply company is developing a livestock feed mix that will consist of three
ingredients: ingredient A, ingredient B, and ingredient C. The table below displays nutrition and
cost information per ounce of each of these ingredients.
Ingredient Calories Fat grams %RDA
Vitamin A
%RDA
Vitamin D
%RDA
Protein
Cost
A 830435%5%35% $0.75
B 600625%41%21% $0.63
C 75034%15%22% $0.20
The company wants to create a mix that contains no more than 750 calories per ounce and no more
than 10 grams of fat. The desired mix should also meet at least 25% of the Recommended Daily
Allowance (RDA) of each of the following nutrients: Vitamin A, Vitamin D, and Protein. The
company wants to develop the feed mix as cheaply as possible.
A) Following the steps below formulate this problem as a linear programming model, and use the Excel
solver to find the optimal percentages of each ingredient to include in the feed mix. Submit your Excel
workbook together with your answer sheet.
Decision variables.
(We want to find out the percentage of each one the three ingredients in one ounce of the mix)
Objective function.
(How do we measure the cost of the mix in terms of percentages of the ingredients? What is the sense
of optimization?)
Constraints.
The total of the percentages of ingredients has to be equal to 100%.
Limits on the following nutrients in the mix.
(Left hand side: express the amount of nutrient in the mix in terms of percentages of ingredients
Right hand side: limit amount)
Calories
Fat
Vitamin A
Vitamin D
Protein
B) Inspect the sensitivity report and find out the change in the optimal cost if we reduce the calorie
limit from 750 to 700, and the fat limit from 10 to 8. Does the cost increase or decrease and by how
much?

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