linear programming problems (LPP). These three methods are: (i) Graphical method, (ii) simplex method and (iii) Excel solver. What are the differences between these methods? Discuss the advantages of each one? b) Use the computer solution (Excel solver) to solve the following linear programming problem (LPP): You should upload your EXCEL file in the Moodle) Maximize C=2x -y +2z [2x +y s10 x+2y-2z s20 Subject to: x+2z <5 Ix>0,v>0.z>0

linear programming problems (LPP). These three methods are: (i) Graphical method, (ii) simplex method and (iii) Excel solver. What are the differences between these methods? Discuss the advantages of each one? b) Use the computer solution (Excel solver) to solve the following linear programming problem (LPP): You should upload your EXCEL file in the Moodle) Maximize C=2x -y +2z [2x +y s10 x+2y-2z s20 Subject to: x+2z <5 Ix>0,v>0.z>0

Name: linear programming problems (LPP). These three methods are:(i) Graphi
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Description: linear programming problems (LPP). These three methods are:(i) Graphical method, (ii) simplex method and (iii) Excel solver.What are the differences between these methods?Discuss the advantages of each one?(b) Use the computer solution (Excel solver

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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Formulate but do not solve the following exercise as a linear programming problem. A financier plans to invest up to $400,000 in two projects. Project A yields a return of 10% on the investment of x dollars, whereas Project B yields a return of 13% on the investment of y dollars. Because the investment in Project B is riskier than the investment in Project A, the financier has decided that the investment in Project B should not exceed 40% of the total investment. How much should she invest in each project to maximize the return on her investment P in dollars? MaximizeP= subject to the constraints ? amount available for investment? allocation of funds?
Zmax = 3x1 + 7x2 %3D Subject to 2x1 + 3x2< 6 X1 + X2 < 4 X1 2 0, X2 2 0 In the starting simplex tableau, the basic variables are slack variables. The objective value in the next simplex table is
Formulate but do not solve the following exercise as a linear programming problem.A division of the Winston Furniture Company manufactures x dining tables and y chairs. Each table requires 40 board feet of wood and 2 labor-hours. Each chair requires 16 board feet of wood and 4 labor-hours. In a certain week, the company has 2800 board feet of wood available and 560 labor-hours.If the profit for each table is $50 and the profit for each chair is $18, how many tables and chairs should Winston manufacture to maximize its profits P in dollars? Maximize P = subject to the constraints board feet labor-hours x ≥ 0 y ≥ 0
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Please show step-by-step solution and do not skip steps. Explain your entire process in great detail. Explain how you reached the answer you did.
CREATE A LINEAR PROGRAMMING PROBLEM (1 GRAPHICAL PROBLEM) <OBJECTIVE FUNCTION, STRUCTURAL CONSTRAINT, AND NO NEGATIVE CONSTRAINT> WITH A FULL SOLUTION AND FINAL ANSWER.
The initial tableau of a linear programming problem is given. Use the simplex method to solve the problem. X1 X2 135 4 $1 1100 3223 1 -5 -1 -3 NOO $2 0 0 19 1 0 42 0 120 = The maximum is when x₁ = X2, X3 = 0, S₁ = 0, and $2 = . (Type integers or simplified fractions.)
Formulate but do not solve the following exercise as a linear programming problem.A division of the Winston Furniture Company manufactures x dining tables and y chairs. Each table requires 40 board feet of wood and 2 labor-hours. Each chair requires 16 board feet of wood and 5 labor-hours. In a certain week, the company has 2800 board feet of wood available and 500 labor-hours.If the profit for each table is $50 and the profit for each chair is $18, how many tables and chairs should Winston manufacture to maximize its profits P in dollars? Maximize P = subject to the constraints board feet labor-hours x ≥ 0 y ≥ 0
Below is the Simplex table of a basic feasible solution (BFS) of a linear programming problem where some values are represented by letters. RHS X5 f X2 X3 X4 a 3 b 4 1 e h -5 -3 -1 -1 1 2 d 1 -4
Formulate a linear programming problem that can be used to solve the following question. A firm has plants in Boston and Baltimore that manufacture three models of hot tubs: regular, fancy, and super. In one day the Boston plant can manufacture 44 of the regular model, 32 of the fancy model, and 20 of the super model, and costs $4500 per day to operate, whereas the Baltimore plant can manufacture 12 of the regular model, 16 of the fancy model, and 58 of the super model, and costs $2000 per day to operate. At least 300 of the regular model, 320 of the fancy model, and 680 of the super model are needed. How many days must each plant operate in order to minimize the cost? ---1pəjəs-- = X y = ---Select--- ---Select--- v F = (objective function) Subject to (regular models) (fancy models) (super models) 0A---1pajas--
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