Exam 8: Non linear programming

If the slope of a graph never increases but sometimes decreases as the level of the activity increases,then it is said to have decreasing marginal returns

Separable programming is applicable when there are increasing or decreasing marginal returns

The measure of risk in a portfolio selection problem is called:

Separable programming will always find the optimal solution when the following is true:

Evolutionary Solver uses an algorithm based on genetics,evolution,and survival of the fittest

If the RSPE Model Analysis indicates that the model is a NSP,then the GRG Nonlinear search method is the best one to use

Excel's curve fitting method is used to graph a nonlinear equation

Mutation is the technique used to create the next generation of solutions in the Evolutionary Solver

Which of the following is an example of a nonlinear function?

The requirement that each term in the objective function only contains a single variable is in a linear program is referred to as:

The members of the population used to create the next generation are picked randomly by the Evolutionary Solver

In problems where the objective is to minimize the total cost of the activities,an activity is said to have decreasing marginal returns if the slope of its cost graph never increases but sometimes decreases as the level of the activity increases

Evolutionary Solver is often faster than the standard Solver at solving linear programming problems

Which of the following are advantages of the Evolutionary Solver?

If D1 is a data cell,and C1 and C2 are changing cells,then IF(D1 >= 2,C1,C2)is a linear function

In separable programming,each activity that violates the proportionality assumption is separated into parts with a new variable for each part

Which of the following can be part of a nonlinear profit graph?

If C1 is a changing cell,then ROUND(C1)is a linear function

The additivity assumption of linear programming states that each term in the objective function is the sum of two or more variables

The multistart feature in Solver can be used for nonlinear programming problems to systematically try a number of different starting points