1 Answer to Implement the following LP model in a spreadsheet. Use Solver to solve the problem and create a Sensitivity Report. Use this information to answer the following questions: a.. Write the algorithm for all-pairs shortest path.
at the top of the spreadsheet. Assign decision variable cells. decision variable cells: D6, F6, and H6 Construct table from data in problem. How you set up the table is a matter of personal preference. Not in table: the constraint which shows the sum is less than or equal to eleven.
ADVANTAGES AND DISADVANTAGES OF USING OPTIMIZATION MODELS. This type of model is called a linear programming model or a linear program. because the objective function is linear and functions in all the constraints are linear. The optimum solution for the Healthy Pet Food problem is M 50,000, Y 100,000, and z $77,500.
Statistics – Formulate as LP in a Spreadsheet and Solve A bank has $650,000 in assets to allocate among investments in bonds, home mortgages, car loans, and personal loans. Bonds are expected to produce a return of 10%, mortgages 8.5%, car loans 9.5%, and personal loans 12.5%.
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Formulating Linear Programming Models LP Example #1 (Diet Problem) A prison is trying to decide what to feed its prisoners. They would like to offer some combination of milk, beans, and oranges. Their goal is to minimize cost, subject to meeting the minimum nutritional requirements imposed by law. The cost
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THESE ARE THE QUESTIONS 1-5.THE EXCEL SPREADSHEET IS ATTACHEDWhat is the impact of the new point on the standard deviation? Do not just give a numerical value for the change. Explain in sentence form what happened to the standard deviation. (4 points)B. In the Questions 1-2 tab of Discussion Board Forum 1/Project 2.xls, use Question.
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All LP problems have four properties in common: 1. LP problems seek to maximize or minimize some quantity (usually profit or cost). We refer to this property as the objective function of an LP problem. The major objective of a typi- cal firm is to maximize dollar profits in the long run.