Simplex method, no feasible solution?

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csc2iffy
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Maximize Z = 4x + 5y + 3z
subject to
x + y + 2z ≥ 20
15x + 6y + 5z ≤ 50
x + 3y + 5z ≤ 30
and x ≥ 0, y ≥ 0, z ≥ 0

Work through the simplex method step by step to demonstrate that this problem does not possesses any feasible solutions
 
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... Is there a question somewhere?
 
  • #3
csc2iffy said:
Maximize Z = 4x + 5y + 3z
subject to
x + y + 2z ≥ 20
15x + 6y + 5z ≤ 50
x + 3y + 5z ≤ 30
and x ≥ 0, y ≥ 0, z ≥ 0

Work through the simplex method step by step to demonstrate that this problem does not possesses any feasible solutions

The question ai asking YOU to work through the method; that is the only way you will learn. Forum helpers have all passed their exams and don't need to prepare for their finals; you do.

RGV
 

1. What is the simplex method?

The simplex method is a mathematical technique used to solve linear programming problems. It involves creating a mathematical model of the problem and using a series of iterations to find the optimal solution.

2. What is a feasible solution?

A feasible solution is a solution to a linear programming problem that satisfies all of the given constraints. In other words, it is a solution that is both mathematically possible and meets all of the specified requirements.

3. What does it mean when the simplex method gives no feasible solution?

When the simplex method gives no feasible solution, it means that there is no solution to the given linear programming problem that satisfies all of the constraints. This could be due to conflicting constraints or an error in the problem formulation.

4. Can the simplex method always find a feasible solution?

No, the simplex method cannot always find a feasible solution. If the problem is infeasible, meaning there is no feasible solution, the simplex method will not be able to find a solution. It is important to check for infeasibility before using the simplex method.

5. What can be done if the simplex method gives no feasible solution?

If the simplex method gives no feasible solution, it may be necessary to re-evaluate the problem formulation to ensure that all constraints are correct and feasible. It may also be helpful to relax some of the constraints or adjust the objective function to make the problem feasible.

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