If there is a maximum of 4,000 hours of labor available per month and 300 ping-pong balls (x1)or 125 wiffle balls (x2)can be produced per hour of labor,which of the following constraints reflects this situation?

A) 300x1 + 125x2 > 4,000 B) 300x1 + 125x2 1 + x2)1 + 125x2 = 4,000 A) 300x1 + 125x2 > 4,000 B) 300x1 + 125x2 1 + x2)1 + 125x2 = 4,000

Exam 7: Intro to Linear Programming

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Use a graph to illustrate why a change in an objective function coefficient does not necessarily lead to a change in the optimal values of the decision variables,but a change in the right-hand sides of a binding constraint does lead to new values.

(Essay)

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Question 41

The point (3,2)is feasible for the constraint 2x₁ + 6x₂ ≤ 30.

(True/False)

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Question 42

An unbounded feasible region might not result in an unbounded solution for a minimization or maximization problem.

(True/False)

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Question 43

If there is a maximum of 4,000 hours of labor available per month and 300 ping-pong balls (x₁)or 125 wiffle balls (x₂)can be produced per hour of labor,which of the following constraints reflects this situation?

(Multiple Choice)

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Question 44

In a feasible problem,an equal-to constraint cannot be nonbinding.

(True/False)

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Question 45

Explain the difference between profit and contribution in an objective function.Why is it important for the decision maker to know which of these the objective function coefficients represent?

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Question 46

A solution that satisfies all the constraints of a linear programming problem except the nonnegativity constraints is called

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Question 47

All linear programming problems have all of the following properties EXCEPT

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Question 48

The maximization or minimization of a quantity is the

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Question 49

Showing 41 - 49 of 49

Use a graph to illustrate why a change in an objective function coefficient does not necessarily lead to a change in the optimal values of the decision variables,but a change in the right-hand sides of a binding constraint does lead to new values.

The point (3,2)is feasible for the constraint 2x₁ + 6x₂ ≤ 30.

An unbounded feasible region might not result in an unbounded solution for a minimization or maximization problem.

If there is a maximum of 4,000 hours of labor available per month and 300 ping-pong balls (x₁)or 125 wiffle balls (x₂)can be produced per hour of labor,which of the following constraints reflects this situation?

In a feasible problem,an equal-to constraint cannot be nonbinding.

Explain the difference between profit and contribution in an objective function.Why is it important for the decision maker to know which of these the objective function coefficients represent?

A solution that satisfies all the constraints of a linear programming problem except the nonnegativity constraints is called

All linear programming problems have all of the following properties EXCEPT

The maximization or minimization of a quantity is the

Introduction

Introduction to Probability

Probability Distributions

Decision Analysis

Utility Game Theory

Time Series Analysis Forecasting

LP Sensitivity Analysis

LP Applications

Distribution Network Models

Integer Linear Programming

Advanced Optimization Applications

Project Scheduling

Inventory Models

Waiting Line Models

Simulation

Markov Processes

Filters

Exam 7: Intro to Linear Programming

​Use a graph to illustrate why a change in an objective function coefficient does not necessarily lead to a change in the optimal values of the decision variables,but a change in the right-hand sides of a binding constraint does lead to new values.

The point (3,2)is feasible for the constraint 2x1 + 6x2 ≤ 30.

An unbounded feasible region might not result in an unbounded solution for a minimization or maximization problem.

​If there is a maximum of 4,000 hours of labor available per month and 300 ping-pong balls (x1)or 125 wiffle balls (x2)can be produced per hour of labor,which of the following constraints reflects this situation?

In a feasible problem,an equal-to constraint cannot be nonbinding.

​Explain the difference between profit and contribution in an objective function.Why is it important for the decision maker to know which of these the objective function coefficients represent?

A solution that satisfies all the constraints of a linear programming problem except the nonnegativity constraints is called

All linear programming problems have all of the following properties EXCEPT

The maximization or minimization of a quantity is the

Introduction

Introduction to Probability

Probability Distributions

Decision Analysis

Utility Game Theory

Time Series Analysis Forecasting

LP Sensitivity Analysis

LP Applications

Distribution Network Models

Integer Linear Programming

Advanced Optimization Applications

Project Scheduling

Inventory Models

Waiting Line Models

Simulation

Markov Processes

Filters

Use a graph to illustrate why a change in an objective function coefficient does not necessarily lead to a change in the optimal values of the decision variables,but a change in the right-hand sides of a binding constraint does lead to new values.

The point (3,2)is feasible for the constraint 2x₁ + 6x₂ ≤ 30.

If there is a maximum of 4,000 hours of labor available per month and 300 ping-pong balls (x₁)or 125 wiffle balls (x₂)can be produced per hour of labor,which of the following constraints reflects this situation?

Explain the difference between profit and contribution in an objective function.Why is it important for the decision maker to know which of these the objective function coefficients represent?