Need help with this two questions
Need help with this two questions 1. Consider the isoperimetric problem: = / yV1+y2da= min, y(0)...
Solve the following problem using Lagrange multiplier method: Maximize f(x,y,z) = 4y-2z subject to the constraints 2x-y-z 2 x2+y2- 1 1. (1) (2) (Note: You need not check the Hessian matrix, just find the maximum by evaluating the values of f(x,y,z) at the potential solution points) Also, using sensitivity analysis, find the change in the maximum value of the function, f, if the above constraints are changed to: (3) (4) 2x -0.9y-z 2 x2+ y2- 0.9.
Solve the following problem...
Solve the following problem using Lagrange multiplier method: Maximize f(x,y,z) = 4y-2z subject to the constraints 2x-y-z 2 x2+ y2- 1 (1) (2) (Note: You need not check the Hessian matrix, just find the maximum by evaluating the values of f(x,y,z) at the potential solution points) Also, using sensitivity analysis, find the change in the maximum value of the function, f, if the above constraints are changed to: (3) (4) 2x-0.9y-z =2 x2+y2- 0.9
Solve the following problem using Lagrange...
hi i need answer from part d
Question 2 (48 marks) Consider a firm which produces a good, y, using two factors of production, xi and x2 The firm's production function is Note that (4) is a special case of the production function in Question 1, in which α-1/2 and β-14. Consequently, any properties that the production function in Q1 has been shown to possess, must also be possessed by the production function defined in (4). The firm faces exogenously...
please answer step by step
Solve the following problem using Lagrange multiplier method: Maximize f(x.y,z) = 4y-2z subject to the constraints 2x-y-z 2 x2+ y2-1 1. (1) (2) (Note: You need not check the Hessian matrix, just find the maximum by evaluating the values of f(x,y,z) at the potential solution points) Also, using sensitivity analysis, find the change in the maximum value of the function, f, if the above changed to: (3) (4) constraints are 2x-0.9y-z 2 x2+y2-0.9.
Solve the...
(2 marks) Solve (find the optimal point and objective function value at the optimal point) the following optimisation problem min 2x+ y Subject to Obtain the gradient of both the objective function and constraint function at the optimal point. What condition do they meet at the optimal point? Suppose the right-hand side of the constraint equation is increased from 1 to 1.2. Without redoing the Lagrange multiplier method obtain an estimate for the change in objective function value. Verify using...
(45 Points) Consider the constrained optimization problem: min f(x1, x2) = 2x} + 9x2 + 9x2 - 6x1x2 – 18x1 X1 X2 Subject to 4x1 – 3x2 s 20 X1 + 2x2 < 10 -X1 < 0, - x2 < 0 a) Is this problem convex? Justify your answer. (5 Points) b) Form the Lagrange function. (5 Points) c) Formulate KKT conditions. (10 Points) d) Recall that one technique for finding roots of KKT condition is to check all permutations...
Q4: Solve the payoff matrix Example-1 Player B П I III IV V -2 0 0 5 Player A III II 3 2 2 7 4 0 -2 6 IV 5 3 4 2 -6 Q5: Determine the maximum and minimum values of the function: f(x)= 12x-45x 40x' +5 Q6: Find the second order Taylor's series approximation of the function ) =x}x, +xe about the point х*- Q7: Find the extreme points of the function f(x,x)xx+2x + 4x +6 Q8:...
(MATLAB): Suppose that you are given a positive definite symmetric matrix A, a vector b, and a real number c. Write MATLAB code which finds the minimum of the function f() r A bc subject to the constraint rT =1 for some vector r and real number . Note: This is a Lagrange Multi pliers problem It turns out that the Lagrange multiplier algebra is simply matrix algebra, which you can easily do in MATLAB. It may be a In...
Consider the following nonlinear program: min s.t. - (a) Express the objective function of the above problem in the standard quadratic function form: (b) Find the gradient and the Hessian of f(x). (c) If possible, solve the minimisation problem and give reasons why the solution you found is a global minimum rather than just a local minimum. Otherwise, demonstrate that the problem is unbounded. f (x: y) = (x + 2y)2-2x-y We were unable to transcribe this imageWe were unable...
a) Solve the following problem using graphical method (using the following graph): Minimize f(x,y) - 2x-y subject to the constraints x2+y's 20 y<x (1) (2) (In the space provided below the graph, please write down your solution clearly) we wish to solve the above problem using Exterior Penalty Function approach. Define b) Suppose augmented cost function and explain how to use it to find a solution to the above problem.
a) Solve the following problem using graphical method (using the...