Question

Solve the LP problem. If no optimal solution exists, indicate whether the feasible region is empty...

Solve the LP problem. If no optimal solution exists, indicate whether the feasible region is empty or the objective function is unbounded. HINT [See Example 1.] (Enter EMPTY if the region is empty. Enter UNBOUNDED if the function is unbounded.)

Maximize and minimize p = x + 2y subject to

x + y ≥ 2
x + y ≤ 10
x − y ≤ 2
x − y ≥

−2.

Minimum:

p=

(x,y)=

Maximum:

p=

(x,y)=

Math   Advanced-Math   
0 0
Add a commentTranscribed image text
Next >

Homework Answers

Answer #1

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
1. Solve the LP problem. If no optimal solution exists, indicate whether the feasible region is...
1. Solve the LP problem. If no optimal solution exists, indicate whether the feasible region is empty or the objective function is unbounded. HINT [See Example 1.] (Enter EMPTY if the region is empty. Enter UNBOUNDED if the function is unbounded.) Maximize p = 3x + 2y subject to 1.8x + 0.9y ≤ 9 0.15x + 0.3y ≤ 1.5 8x + 8y ≤ 48 x ≥ 0, y ≥ 0. p = (x,y) = 2. Solve the LP problem. If...
Solve the LP problem. If no optimal solution exists, indicate whether the feasible region is empty...
Solve the LP problem. If no optimal solution exists, indicate whether the feasible region is empty or the objective function is unbounded. HINT [See Example 1.] (Enter EMPTY if the region is empty. Enter UNBOUNDED if the function is unbounded.) Maximize p = 3x + y subject to 5x − 8y ≤ 0 8x − 5y ≥ 0 x + y ≤ 13 x ≥ 0, y ≥ 0. p = ? (x, y) = ?
Solve the LP problem. If no optimal solution exists, indicate whether the feasible region is empty...
Solve the LP problem. If no optimal solution exists, indicate whether the feasible region is empty or the objective function is unbounded. HINT [See Example 1.] (Enter EMPTY if the region is empty. Enter UNBOUNDED if the function is unbounded.) Maximize p = 4x + 3y subject to −4x + y ≥ 11 x + 5y ≤ 13 x ≥ 0, y ≥ 0. p = : Your answer is incorrect. (x,y) =
1. It is impossible for a linear program with unbounded feasible region to have a unique...
1. It is impossible for a linear program with unbounded feasible region to have a unique optimal solution. True or False? 2. It is impossible for an integer program to have infinitely many optimal solutions. True or False? 3. When we solve an integer program with a minimization objective using Branch and Bound, we can discard a subproblem for which the optimal objective value of the associated LP is larger than the objective value of the incumbent solution. True or...
Solve the linear programming problem by sketching the region and labeling the vertices, deciding whether a...
Solve the linear programming problem by sketching the region and labeling the vertices, deciding whether a solution exists, and then finding it if it does exist. (If an answer does not exist, enter DNE.) Maximize P = 10x + 6y Subject to 2x + y ≤ 90 x + y ≤ 50 x + 2y ≤ 90 x ≥ 0, y ≥ 0
Solve the LP problem using graphical method. Determine the optimal values of the decision variables and...
Solve the LP problem using graphical method. Determine the optimal values of the decision variables and compute the objective function. Minimize Z = 2x1 + 3x2 Subject to             4x1 + 2x2 ≥ 20             2x1 + 6x2 ≥ 18               x1 + 2x2 ≤ 12 x1, x2  ≥ 0 with solution! thak you so much :D
1.If an LP problem has a unique optimal solution, can the optimal solution be an interior...
1.If an LP problem has a unique optimal solution, can the optimal solution be an interior point of the feasible region? Explain and prove. 2.How do we know from a simplex tableau of an LP problem if the current basic feasible solution is optimal? (consider a min problem) Explain.
Consider the following Linear Programming model: Maximize x+2.5y Subject to x+3y<=12 x+2y<=11 x-2y<=9 x-y>=0 x+5y<=15 x>=0...
Consider the following Linear Programming model: Maximize x+2.5y Subject to x+3y<=12 x+2y<=11 x-2y<=9 x-y>=0 x+5y<=15 x>=0 y>=0 (a) Draw the feasible region for the model, but DO NOT draw the objective function. Without graphing the objective function, find the optimal solution(s) and the optimal value. Justify your method and why the solution(s) you obtain is (are) optimal. (4 points) (b) Add the constraint “x+5y>=15” to the Linear Programming model. Is the optimal solution the same as the one in (a)?...
(An Unbounded Feasible Region). Consider the problem: Maximize: 3x + 4y 2x+y ≥ 10 x+2y ≥...
(An Unbounded Feasible Region). Consider the problem: Maximize: 3x + 4y 2x+y ≥ 10 x+2y ≥ 14 x,y ≥ 0 a) Draw the feasible set for this linear programming problem. Identify the extreme points and infinite rays. b) Express the points (3,7) and (10,10) in terms of the extreme points and infinite rays of the feasible set.
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...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT