Question

geographically analyze the following problem. maximize profit = $4X+$6Y subject to X + 2Y <= 8...

geographically analyze the following problem. maximize profit = $4X+$6Y
subject to X + 2Y <= 8 hours
6X + 4Y <= 24 hours
a. what is the optimal solution?
b. if the first constraint is altered to
X + 3Y<=8 does the feasable solution
change

Homework Answers

Answer #1

hii.. if you have any querry please ask by comment i will try to respond you as soon as will be possible. please like the answer. thanks...

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Consider the following linear programming problem. Maximize P = 4x + 6y + 9z subject to...
Consider the following linear programming problem. Maximize P = 4x + 6y + 9z subject to the constraints    2x + 3y + z ≤ 900 3x + y + z ≤ 350 4x + 2y + z ≤ 400  x ≥ 0, y ≥  0, z ≥  0 Write the initial simplex tableau. x y z s1 s2 s3 P Constant 900 350 400 0
Maximize x + 2y subject to the following constraints (using the simplex method) -x+ y <=...
Maximize x + 2y subject to the following constraints (using the simplex method) -x+ y <= 100 6x + 6y <= 1200 x>=0, y>=0
Consider the following linear program: Max profit 8X + 4Y Subject to: 4X + 3Y ≤...
Consider the following linear program: Max profit 8X + 4Y Subject to: 4X + 3Y ≤ 480 2X + 3Y ≤ 360 X,Y ≥ 0 Use the corner point solution method to solve this linear program. The followings must be included in your answer: a) defined decision variables. b)a graph with constraints lines. c)highlighted feasible region. d)specified coordinates and profit for each corner point. e)specified optimal values of X and Y and optimal profit.
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)?...
Consider the following linear programming model with 4 regular constraints: Maximize 3X + 5Y subject to:...
Consider the following linear programming model with 4 regular constraints: Maximize 3X + 5Y subject to: 4X + 4Y ≤ 48 (constraint #1) 2X + 3Y ≤ 50 (constraint #2) 1X + 2Y ≤ 20 (constraint #3) Y ≥ 2 (constraint #4) X, Y ≥ 0 (non-negativity constraints) (a) Which of the constraints is redundant? Constraint #____. Justify using the data from the above LP model: ________________________________________________________________________ ________________________________________________________________________ ________________________________________________________________________ (b) Is solution point (10,5) a feasible solution? _____. Explain using...
Verify that the given function is the solution of the initial value problem. 1. A) x^3y'''-3x^2y''+6xy'-6y=...
Verify that the given function is the solution of the initial value problem. 1. A) x^3y'''-3x^2y''+6xy'-6y= -(24/x) y(-1)=0 y'(-1)=0 y''(-1)=0 y=-6x-8x^2-3x^3+(1/x) C) xy'''-y''-xy'+y^2= x^2 y(1)=2 y'(1)=5 y''(1)=-1 y=-x^2-2+2e^(x-1-e^-(x-1))+4x
Objective function P=70x+40y is subject to the following constraints: 4x+3y ≤ 26 x+2y ≤ 10 3≤...
Objective function P=70x+40y is subject to the following constraints: 4x+3y ≤ 26 x+2y ≤ 10 3≤ x ≤6 y≥2 x≥0 and y≥0 Optimal point is (5,2) and the maximum profit is $430 Question:Find the constraints that are binding and the ones that are redundant(i.e., is not needed to delineate the feasibility region)(please show your solution)
Given the following linear optimization problem Maximize 10x + 20y Subject to x + y ≤...
Given the following linear optimization problem Maximize 10x + 20y Subject to x + y ≤ 50 2x + 3y ≤ 120 x ≥ 10 x, y ≥ 0 (a) Graph the constraints and determine the feasible region. (b) Find the coordinates of each corner point of the feasible region. (c) Determine the optimal solution and optimal objective function value.
Consider the following linear programming problem: Maximize 12X + 10Y Subject to: 4X + 3Y <=...
Consider the following linear programming problem: Maximize 12X + 10Y Subject to: 4X + 3Y <= 480 2X + 3Y <= 360 all variables >= 0 The maximum possible value for the objective function is Selected Answer: c. 1520.
Which of the following systems of equations have nonzero solutions? If the solution is not unique,...
Which of the following systems of equations have nonzero solutions? If the solution is not unique, give the set of all possible solutions. a)3x+4y=0 b)4x-y=0 c)2x-6y=0 6x+2y=0 4x-y=0 -x+3y=-2
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT