Exam 13: Introduction to Optimization Modeling

The additivity property of LP models implies that the sum of the contributions from the various activities to a particular constraint equals the total contribution to that constraint.

(True/False)

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Question 21

There is often more than one objective in linear programming problems

(True/False)

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Question 22

Consider the following linear programming problem: Minimize $5 x _ { 1 } + 6 x _ { 2 }$ Subject to $x _ { 1 } + 2 x _ { 2 } \geq 12$ $3 x _ { 1 } + 2 x _ { 2 } \geq 24$ $3 x _ { 1 } + x _ { 2 } \geq 15$ $x _ { 1 } , x _ { 2 } \geq 0$ The above linear programming problem:

(Multiple Choice)

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Question 23

The equation of the line representing the constraint $20 x + 10 y \leq 1000$ Is:

(Multiple Choice)

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Question 24

It is often useful to perform sensitivity analysis to see how,or if,the optimal solution to a linear programming problem changes as we change one or more model inputs.

(True/False)

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Question 25

When formulating a linear programming spreadsheet model,there is a set of designated cells that play the role of the decision variables.These are called the objective cells.

(True/False)

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Question 26

The feasible region in all linear programming problems is bounded by:

(Multiple Choice)

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Question 27

In general,the complete solution of a linear programming problem involves three stages: formulating the model,invoking Solver to find the optimal solution,and performing sensitivity analysis.

(True/False)

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Question 28

The optimal solution to any linear programming model is:

(Multiple Choice)

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Question 29

Every linear programming problem involves optimizing a:

(Multiple Choice)

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Question 30

The divisibility property of LP models simply means that we allow only integer levels of the activities.

(True/False)

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Question 31

The divisibility property of linear programming means that a solution can have both:

(Multiple Choice)

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Question 32

Linear programming problems can always be formulated algebraically,but not always on spreadsheet.

(True/False)

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Question 33

One of the things that you can do with linear programming and a spreadsheet model is to develop a user interface to make it easier for someone who is not an expert in using linear programming.The output can be a report that explains the optimal policy in non-technical terms.The type of system being described is called a (n):

(Multiple Choice)

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Question 34

Suppose a firm must at least meet minimum expected demands of 60 for product x and 80 of product y.An algebraic formulation of these constraints is:

(Multiple Choice)

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Question 35

When there is a problem with Solver being able to find a solution,many times it is an indication of a (n):

(Multiple Choice)

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Question 36

In linear programming,sensitivity analysis involves examining how sensitive the optimal solution is to changes in:

(Multiple Choice)

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Question 37

Shadow prices are associated with nonbinding constraints,and show the change in the optimal objective function value when the right side of the constraint equation changes by one unit.

(True/False)

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Question 38

The term nonnegativity refers to the condition where:

(Multiple Choice)

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Question 39

In an optimization model,there can only be one:

(Multiple Choice)

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Question 40

Showing 21 - 40 of 70

The additivity property of LP models implies that the sum of the contributions from the various activities to a particular constraint equals the total contribution to that constraint.

There is often more than one objective in linear programming problems

Consider the following linear programming problem: Minimize $5 x _ { 1 } + 6 x _ { 2 }$ Subject to $x _ { 1 } + 2 x _ { 2 } \geq 12$ $3 x _ { 1 } + 2 x _ { 2 } \geq 24$ $3 x _ { 1 } + x _ { 2 } \geq 15$ $x _ { 1 } , x _ { 2 } \geq 0$ The above linear programming problem:

The equation of the line representing the constraint $20 x + 10 y \leq 1000$ Is:

It is often useful to perform sensitivity analysis to see how,or if,the optimal solution to a linear programming problem changes as we change one or more model inputs.

When formulating a linear programming spreadsheet model,there is a set of designated cells that play the role of the decision variables.These are called the objective cells.

The feasible region in all linear programming problems is bounded by:

In general,the complete solution of a linear programming problem involves three stages: formulating the model,invoking Solver to find the optimal solution,and performing sensitivity analysis.

The optimal solution to any linear programming model is:

Every linear programming problem involves optimizing a:

The divisibility property of LP models simply means that we allow only integer levels of the activities.

The divisibility property of linear programming means that a solution can have both:

Linear programming problems can always be formulated algebraically,but not always on spreadsheet.

Suppose a firm must at least meet minimum expected demands of 60 for product x and 80 of product y.An algebraic formulation of these constraints is:

When there is a problem with Solver being able to find a solution,many times it is an indication of a (n):

In linear programming,sensitivity analysis involves examining how sensitive the optimal solution is to changes in:

Shadow prices are associated with nonbinding constraints,and show the change in the optimal objective function value when the right side of the constraint equation changes by one unit.

The term nonnegativity refers to the condition where:

In an optimization model,there can only be one:

Introduction to Data Analysis and Decision Making

Describing the Distribution of a Single Variable

Finding Relationships Among Variables

Probability and Probability Distributions

Normal, Binomial, Poisson, and Exponential Distributions

Decision Making Under Uncertainty

Sampling and Sampling Distributions

Confidence Interval Estimation

Hypothesis Testing

Regression Analysis: Estimating Relationships

Regression Analysis: Statistical Inference

Time Series Analysis and Forecasting

Optimization Models

Introduction to Simulation Modeling

Simulation Models

Data Mining

Importing Data Into Excel

Analysis of Variance and Experimental Design

Statistical Process Control

Filters

Exam 13: Introduction to Optimization Modeling

The additivity property of LP models implies that the sum of the contributions from the various activities to a particular constraint equals the total contribution to that constraint.

There is often more than one objective in linear programming problems

The equation of the line representing the constraint 20x+10y≤100020 x + 10 y \leq 100020x+10y≤1000 Is:

It is often useful to perform sensitivity analysis to see how,or if,the optimal solution to a linear programming problem changes as we change one or more model inputs.

When formulating a linear programming spreadsheet model,there is a set of designated cells that play the role of the decision variables.These are called the objective cells.

The feasible region in all linear programming problems is bounded by:

In general,the complete solution of a linear programming problem involves three stages: formulating the model,invoking Solver to find the optimal solution,and performing sensitivity analysis.

The optimal solution to any linear programming model is:

Every linear programming problem involves optimizing a:

The divisibility property of LP models simply means that we allow only integer levels of the activities.

The divisibility property of linear programming means that a solution can have both:

Linear programming problems can always be formulated algebraically,but not always on spreadsheet.

Suppose a firm must at least meet minimum expected demands of 60 for product x and 80 of product y.An algebraic formulation of these constraints is:

When there is a problem with Solver being able to find a solution,many times it is an indication of a (n):

In linear programming,sensitivity analysis involves examining how sensitive the optimal solution is to changes in:

Shadow prices are associated with nonbinding constraints,and show the change in the optimal objective function value when the right side of the constraint equation changes by one unit.

The term nonnegativity refers to the condition where:

In an optimization model,there can only be one:

Introduction to Data Analysis and Decision Making

Describing the Distribution of a Single Variable

Finding Relationships Among Variables

Probability and Probability Distributions

Normal, Binomial, Poisson, and Exponential Distributions

Decision Making Under Uncertainty

Sampling and Sampling Distributions

Confidence Interval Estimation

Hypothesis Testing

Regression Analysis: Estimating Relationships

Regression Analysis: Statistical Inference

Time Series Analysis and Forecasting

Optimization Models

Introduction to Simulation Modeling

Simulation Models

Data Mining

Importing Data Into Excel

Analysis of Variance and Experimental Design

Statistical Process Control

Filters

The equation of the line representing the constraint $20 x + 10 y \leq 1000$ Is: