Which of the following would require that a linear programming mathematical model be restated and solved again when using QM?
Adding a new decision variable
Adding a new constraint
Changing just one coefficient in a constraint
All of the above
A and B only
Correct Answer: All of the above
Explanation: This because addition of a new variable, addition of a new constraints and changing of a coefficient will have an impact of final solution.
Which of the following would require that a linear programming mathematical model be restated and solved...
Which of the following mathematical relationships could be found in a linear programming model? Choose YES if the relationship could be, and NO if it could not.A. YES B. NO 1. B-2A + 7B = 45 2. 4A - B ¡Ü 103. A + 2B ¡Ý 224. 3A + 2B - AB = 125. 2A2 - 8B ¡Ý 14
The following linear programming problem has been solved by LINDO. Use the output to answer the questions. (Scroll down to see all). LINEAR PROGRAMMING PROBLEM MAX 41X1+52X2+21X3 S.T. C.1) 5X1 + 5X2 + 9X3 < 1200 C.2) 11X1 + 14X2 + 5X3 < 1500 END LP OPTIMUM FOUND AT STEP 1 OBJECTIVE FUNCTION VALUE 1) 5795.049 VARIABLE VALUE REDUCED COST X1 0.000 0.217822 X2 74.247 0.000000 X3 92.079 0.000000 ROW SLACK OR SURPLUS DUAL...
. Consider a Linear Programming (LP) problem with two decision variables. If the profit (cost) coefficient of one decision variable of the objective function is increased, then a. The feasible region will be increased b. There will be a redundant constraint c. The slope of the profit (cost) line will be changed d. The feasible region will be decreased e. None of the above
Interpreting an LP output after solving the problem using the software. The following linear programming problem has been solved using the software. Use the output to answer the questions below. LINEAR PROGRAMMING PROBLEM: MAX 25X1+30X2+15X3 S.T. 1) 4X1+5X2+8X3<1200 2) 9X1+15X2+3X3<1500 OPTIMAL SOLUTION: Objective Function Value = 4700.000 Variable Value Reduced Costs X1 140.000 0.000 X2 0.000 10.000 X3 80.000 0.000 Constraint Slack/Surplus Dual Prices 1 0.000 1.000 2 0.000 2.333 OBJECTIVE COEFFICIENT RANGES: Variable Lower Limit Current Value Upper Limit...
Which of the following is NOT true about linear programming problems: When dealing with extremely complex real problems, there is no such thing as the perfectly correct linear programming model for the problem Approximations and simplifying assumptions generally are required to have a workable linear programming model Linear programming problems can be formulated both algebraically as a mathematical model and on spreadsheets None of the answers are accurate
Kindly use excel solver to solve the following linear programming problem. Solve the following model: Min X^2 - 10 X + Y^2 - 6 Y + 34 subject to only non-negativity constraints. X Y Objective Function Value = Solve the model again with the additional constraints: X^2 - 8 X + Y^2 - 3 Y + 1020 <= 1111 (Constraint #1) 2X + 5 Y <= 15 (Constraint #2) together with non-negativity constraints. X Y Objective Function Value = LHS...
Use this output to answer these questions please, I
need to understand.
Interpreting an LP output after solving the problem using the software. The following linear programming problem has been solved using the software. Use the output to answer the questions below LINEAR PROGRAMMING PROBLEM MAX 25x1+30x2+15x3 ST. 1) 4X1+5X2+8X3<1200 2) 9x1+15X2+3X3c1500 OPTIMAL SOLUTION: Objective Function Value- 4700.000 Variable Value 140.000 duced Costs 0.000 10.000 0.000 x1 x2 X3 0.000 80.000 Slack/Surplus 0.000 0.000 1.000 2.333 2 OBJECTIVE COEFFICIENT RANGES:...
Which of the following components of a linear programming model is the overall performance measure? Multiple Choice O Constraints Decision variables O Parameters Objective
When formulating a linear programming problem on a spreadsheet, which of the following is true? Multiple Choice Parameters are called data cells. Decision variables are called changing cells. Right hand sides are part of the constraints. The objective function is called the objective cell. All of the answer choices are correct.
Assignment 1. Linear Programming Case Study Your instructor will assign a linear programming project for this assignment according to the following specifications. It will be a problem with at least three (3) constraints and at least two (2) decision variables. The problem will be bounded and feasible. It will also have a single optimum solution (in other words, it won’t have alternate optimal solutions). The problem will also include a component that involves sensitivity analysis and the use of the...