Create by yourself a Linear Programming problem with at least 3 decision variables and 3 constraints....

Create by yourself a Linear Programming problem with at least 3 decision variables and 3 constraints.
Solve the problem using the simplex method

Expert Solution

orchestra answered 1 year ago

The optimal solution of the linear programming problem is at the intersection of constraints 1 and...

The optimal solution of the linear programming problem is at the intersection of constraints 1 and 2. Please answer the following questions by using graphical sensitivity analysis. Max s.t. Max 2x1 + x2 s.t. 4x1 +1x2 ≤8 4x1 +3x2 ≤12 1x1 +2x2 ≤6 x1 , x2 ≥ 0 Over what range can the coefficient of x1 vary before the current solution is no longer optimal? Over what range can the coefficient of x2 vary before the current solution is no...

Hi: I have a linear programming problem with 3 constraints (written as equalities): Constraint A: X...

Hi: I have a linear programming problem with 3 constraints (written as equalities): Constraint A: X + Y = 150,000 Constraint B: X = 75,000 Constraint C: Y = 60,000 How would the corner point method be utilized to complete the feasibility region (determine the corner points)? As can be seen, constraint B results in a horizontally bound line (to infinity) and contraint C results in a vertically bound line (to infinity). Thanks in advance!

1. The optimal solution of the linear programming problem is at the intersection of constraints 1...

1. The optimal solution of the linear programming problem is at the intersection of constraints 1 and 2. Please answer the following questions by using graphical sensitivity analysis. Max 2x1 + x2 s.t. 4x1 +1x2 ≤8 4x1 +3x2 ≤12 1x1 +2x2 ≤6 x1 , x2 ≥ 0 A. Over what range can the coefficient of x1 vary before the current solution is no longer optimal? B. Over what range can the coefficient of x2 vary before the current solution is...

The ________ property of linear programming models indicates that the decision variables cannot be restricted to...

The ________ property of linear programming models indicates that the decision variables cannot be restricted to integer values and can take on any fractional value. Question 5 options: divisibility unbounded certainty proportionality

create a supply & demand problem, that can be solved through defined decision variables using linear...

create a supply & demand problem, that can be solved through defined decision variables using linear programming & operations research -- simply provide a [interesting] problem to solve. Please make it challenging.

Formulate the situation as a linear programming problem by identifying the variables, the objective function, and...

Formulate the situation as a linear programming problem by identifying the variables, the objective function, and the constraints. Be sure to state clearly the meaning of each variable. Determine whether a solution exists, and if it does, find it. State your final answer in terms of the original question. A rancher raises goats and llamas on his 400-acre ranch. Each goat needs 2 acres of land and requires $100 of veterinary care per year, and each llama needs 5 acres...

Develop a LP problem with at least 7 constraints (including two integer variables) to solve it...

Develop a LP problem with at least 7 constraints (including two integer variables) to solve it using any solver. we have to create a problem. any problem should be fine. please take any problem.

Part a (worth 60 pts): Formulate a linear programming model (identify and define decision variables, objective...

Part a (worth 60 pts): Formulate a linear programming model (identify and define decision variables, objective function and constraints) that can be used to determine the amount (in pounds) of Brazilian Natural and Colombian Mild that will maximize the total contribution to profit. For “Part a” you do NOT need to solve this problem using Excel, you just need to do the LP formulation in the standard mathematical format. Part b (bonus worth 20 pts): Solve the LP problem that...

Question 3 Below is the linear programming for the Shortest Path Problem. Considering the second contraint...

Question 3 Below is the linear programming for the Shortest Path Problem. Considering the second contraint in the mathematical model : ∑ i x ji −∑ i x ij =0∀j≠s,j≠t What is the logic behind this contraint? 1) To make sure there is only one solution 2) To make sure that the path is connected between the nodes 3) To make sure the variable stays binary 4) This contraint is redundant and not necessary Question 4 Which of the following...

Explain the meaning of the following terms: constraints, decision variables, feasible region and objective function. Explain...

Explain the meaning of the following terms: constraints, decision variables, feasible region and objective function. Explain their relevance to product mix decisions.

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