QMB 3602 Final Exam Already Graded A+
which of the following represents the marginal gain in the objective value that would occur if one more
unit of a resource were added? ✔️shadow price
the process of determining the effect of changing objective function coefficients, right hand side values
of constraints, and decision variable values on a linear program is known as ✔️what-if analysis
For a problem with two decision variables, which of the following statements about what-if analysis is
true?
I. What if analysis can be done graphically
II. Solver will generate reports to assist with what if analysis
III. Shadow prices will not be valid with only two decision variables ✔️Only I and II are true
A parameter in a linear programming problem is said to be "sensitive" when ✔️small changes in the
parameter lead to changes in the optimal solution
If the objective function coefficient for a product is increased to a value above the allowable increase
✔️the optimal solution would change
and
the product would enter the solution (final value of the variable product would be greater than zero)
if the objective function coefficient for a product decreased within the allowable range ✔️the optimal
objective function value would stay the same
in robust optimization, a constraint that cannot be violated is known as a ✔️hard constraint
to determine if an increase in an objective function coefficient will lead to a change in final values for
decision variables, an analyst can do which of the following?
which of the following represents the marginal gain in the objective value that would occur if one more
unit of a resource were added? ✔️shadow price
the process of determining the effect of changing objective function coefficients, right hand side values
of constraints, and decision variable values on a linear program is known as ✔️what-if analysis
For a problem with two decision variables, which of the following statements about what-if analysis is
true?
I. What if analysis can be done graphically
II. Solver will generate reports to assist with what if analysis
III. Shadow prices will not be valid with only two decision variables ✔️Only I and II are true
A parameter in a linear programming problem is said to be "sensitive" when ✔️small changes in the
parameter lead to changes in the optimal solution
If the objective function coefficient for a product is increased to a value above the allowable increase
✔️the optimal solution would change
and
the product would enter the solution (final value of the variable product would be greater than zero)
if the objective function coefficient for a product decreased within the allowable range ✔️the optimal
objective function value would stay the same
in robust optimization, a constraint that cannot be violated is known as a ✔️hard constraint
to determine if an increase in an objective function coefficient will lead to a change in final values for
decision variables, an analyst can do which of the following?
