Question

Why does a linear programming model require an objective function and constraints? Why do we need...

Why does a linear programming model require an objective function and constraints? Why do we need to do sensitivity analysis in solving linear optimization problem?

Math   Statistics-And-Probability   
0 0
Add a commentTranscribed image text
Next >

Homework Answers

Answer #1

The Objective Function is required in a Linear Programming model because the Objective Function forms the function which is to be maximized or minimized. The Objective Function expresses the main aim of the model which is either to be minimized or maximized.The constraints in Linear Programming model constitute conditions of the independent variables expressed in linear form with either equality sign or inequality sign.

Sensitivity analysis, also called what - if or simulation analysis, in solving linear optimization problem is required for finding out the amount by which we can change the input data for the output of the linear programming model to remain comparatively unchanged.

0 0
Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Log In

Sign Up

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Why does a linear programming model require an objective function and constraints? Why do we need...
Why does a linear programming model require an objective function and constraints? Why do we need to do sensitivity analysis in solving a linear optimization problem?
A mathematical programming problem with quadratic objective function and quadratic constraints is called a nonlinear programming...
A mathematical programming problem with quadratic objective function and quadratic constraints is called a nonlinear programming model. True or false
1) Constraints limit the degree to which the objective can be pushed in linear programming. As...
1) Constraints limit the degree to which the objective can be pushed in linear programming. As a manager, how do you know which constraints are proper to use in your decision model? Describe a basic situation and give an example of a constraint you are able to identify. 2) What role does feasibility play in linear programming, in your opinion?
Show work A mathematical programming problem with quadratic objective function and quadratic constraints is called a...
Show work A mathematical programming problem with quadratic objective function and quadratic constraints is called a nonlinear programming model. True or false
When many constraints are present in a linear optimization problem, there is a greater chance that...
When many constraints are present in a linear optimization problem, there is a greater chance that a redundant constraint exists. Assume you are trying to maximize an objective function and you have two decision variables, X1 and X2. If a redundant constraint exists, does the constraint become necessary if you try to minimize (instead of maximize) the same objective function? Why? Do you need an objective function to determine if a constraint is redundant? Explain.
The following constraints of a linear programming model have been graphed on the graph paper provided...
The following constraints of a linear programming model have been graphed on the graph paper provided (same constraints found in problem #3) to form a feasible region: 2X    + 6Y     >=    120 10X + 2Y     > =   200 X      +     Y     <=    120 X                     <=    100                  Y    <=      80 X,Y                  >=        0 Using the graphical method, determine the optional solution and the objective function value for the following objective functions. Graph the objective function as a dashed line on...
1) Describe "Sensitivity Analysis" within the Linear Programming context. Why is sensitivity analysis important? 2) Discuss...
1) Describe "Sensitivity Analysis" within the Linear Programming context. Why is sensitivity analysis important? 2) Discuss the impact of the changes in the following to your optimal solution: objective function coefficient resources or right-hand-side values. I need at least 200 words
The following constraints of a linear programming model have been graphed on the graph paper provided...
The following constraints of a linear programming model have been graphed on the graph paper provided to form a feasible region: 2X    + 6Y     >=    120 10X + 2Y     > =   200 X      +     Y     <=    120 X                     <=    100                  Y    <=      80 X,Y                  >=        0 Using the graphical method, determine the optional solution and the objective function value for the following objective functions. Graph the objective function as a dashed line on the feasible region described by the...
If a problem is referred to as a linear programming problem, what must be true? A)...
If a problem is referred to as a linear programming problem, what must be true? A) the objective function must be linear B) both the objective function and the constraints must be linear C) the constraints must be linear D) the decision variables must be linear Three essential elements of a linear programming formulation are the: A) decision variables, feasibility, constraints B) constraints, objective function, non-negativity C) decision variables, objective function, constraints D) objective function, constraints, solution When constraints identify...
Many times, linear optimization is used to maximize an objective function because profit, productivity, or efficiency...
Many times, linear optimization is used to maximize an objective function because profit, productivity, or efficiency is the outcome of interest. Provide two examples where the goal is to optimize a process by minimizing an objective function. In your examples, identify the outcome and any constraints that would need to be met.
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT