Question 1

Can the dual simplex method be used for problems with no feasible solution?

Accepted Answer

No

Answer

Yes

Answer

Only sometimes

Answer

It depends on the problem

Question 2

What happens to the dual variables in each iteration of the dual simplex method?

Accepted Answer

They remain feasible

Answer

They remain infeasible

Answer

They are eliminated

Answer

They become infeasible

Question 3

What is the result when the dual simplex method is applied to a problem with no feasible solutions?

Accepted Answer

The process terminates with no feasible solution found

Answer

The process continues indefinitely

Answer

The process finds an approximate feasible solution

Answer

The process terminates with a feasible solution

Question 4

What is the key difference between the Simplex method and the Dual Simplex method?

Accepted Answer

Simplex method starts with a feasible solution unlike Dual Simplex

Answer

They use different optimization techniques

Answer

Dual Simplex is an extension of the Simplex method

Answer

There is no difference, they are the same

Question 5

What is a key advantage of the dual simplex method?

Accepted Answer

It finds an optimal solution faster for problems with infeasible starting solutions

Answer

It provides multiple optimal solutions

Answer

It simplifies complex problems

Answer

It works for problems without constraints

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