. Consider a Linear Programming (LP) problem with two decision variables. If the profit (cost) coefficient...
. 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
Homework Answers
With change in unit profit values inthe objective function, there will be no change in the feasible region, but since one of the values of objective function changes, there will be change in the slope of profit line.
Option c is right
Add Answer to:
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Explain the process of this problem to approach the correct answer. Thank you following Linear Programming...
Explain the process of this problem to approach the correct
answer. Thank you
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QUESTION 20 In what parts of a linear programming formulation do the decision variables appear? In...
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Match the following terms to their definition Feasible region Binding constraint [Choose] [Choose A feasible solution...
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In the final profit maximizing solution for the problem, which constraint(s) has(have) a slack/surplus variable(s) equal...
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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 so...
Use this output to answer these questions please, I
need to understand.
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S- In the optimal table of the simplex for the following linear programming problem x1, x3,...
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When many constraints are present in a linear optimization problem, there is a greater chance that...
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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 questi...
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Explain the process of this problem to approach the correct
answer. Thank you
following Linear Programming (LP) Consider the problem. Minimize Z= 4x1 + 2x2 Subject to (soto). 2x1 - x2 x1 + 2x2 X1 + x2 IVAN 1003 and Xizo x220 a. draw the feasible region and the objective function line bo Indicate all Corner point feasible solutions and the optimal Solution.
QUESTION 20 In what parts of a linear programming formulation do the decision variables appear? In the objective function only In the RHS of constraints only In the LHS of constraints only Can appear in both RHS and LHS of constraints AND the objective function None are correct QUESTION 21 A constraint that directly affects the optimal solution in a linear program is called A non-binding constraint A null constraint A binding constraint None of the above QUESTION 22 Which...
Match the following terms to their definition Feasible region Binding constraint [Choose] [Choose A feasible solution for which there are no other feasible points with a better objective function value in the entire feasible region. The change in the optimal objective function value per unit increase in the right-hand side of a constraint Restrictions that limit the settings of the decision variables A controllable input for a linear programming model The expression that defines the quantity to be maximized or...
In the final profit maximizing solution for the problem, which constraint(s) has(have) a slack/surplus variable(s) equal to zero? Given the following LP, answer questions 9-14 Z 10x+7x Maximize Subject to: 5x+3x15 2x1+3x22 12 x2 х, хз 20 Con 1 Con 2 Con 3 3 2 4 5 10 X1 Both constraints # 1 and # 2 Constraint #1 Constraint #2 Constraint #3 None of the above гоо How many surplus variables would appear in the standard formulation of the problem?...
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:...
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Solve the following model using linear programming (allow for continuous values and determine the values of the decision variables and objective function. Then, round the decision variables values down to the nearest integer and determine the value of the decision variables and objective function, this is an approximate answer to solving the model using integer programming. Observe if the rounding provides a "feasible solution, all constraints are satisfied. Finally, solve the model using integer programming and determine the values of...
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