![9. Consider the problem of minimizing the function f(T) = x² + 2xy + 3y2 + 4x + 5y +62 over the constraint set ſi 2 0] V = =](http://img.homeworklib.com/questions/03606a00-381f-11eb-ac4c-91cef99f4f9a.png?x-oss-process=image/resize,w_560)
Homework Answers
We can solve this problem with Lagrange's method of multiplier for two constraint conditions. We can critical points by using conditions. Later, using Hassian bordered matrix we can check wheather the given point is local maximum or minimum.
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9. Consider the problem of minimizing the function f(T) = x² + 2xy + 3y2 +...
+ 1. Consider the problem minimize f (x1, x2) = x;} +233 – -21 - 4.12...
+ 1. Consider the problem minimize f (x1, x2) = x;} +233 – -21 - 4.12 + 2. (a) (4 points) Find all of the points (21,22)T that satisfy the first-order necessary condition (FONC). (b) (4 points) For each of the points in the above question, identify whether it a local minimizer, local maximizer, or saddle point. (C) (2 points) Is there a global minimizer?
+ 1. Consider the problem minimize f (x1, x2) = x;} +233 – -21 - 4.12...
+ 1. Consider the problem minimize f (x1, x2) = x;} +233 – -21 - 4.12 + 2. (a) (4 points) Find all of the points (21,22)T that satisfy the first-order necessary condition (FONC). (b) (4 points) For each of the points in the above question, identify whether it a local minimizer, local maximizer, or saddle point. (C) (2 points) Is there a global minimizer?
+ 1. Consider the problem minimize f (x1, x2) = x;} +233 – -21 - 4.12...
+ 1. Consider the problem minimize f (x1, x2) = x;} +233 – -21 - 4.12 + 2. (a) (4 points) Find all of the points (21,22)T that satisfy the first-order necessary condition (FONC). (b) (4 points) For each of the points in the above question, identify whether it a local minimizer, local maximizer, or saddle point. (C) (2 points) Is there a global minimizer?
1. Consider the problem minimize f (x1, x2) = x} + 2x3 – 21 – 4x2...
1. Consider the problem minimize f (x1, x2) = x} + 2x3 – 21 – 4x2 + 2. (a) (4 points) Find all of the points (21, x2)T that satisfy the first-order necessary condition (FONC). (b) (4 points) For each of the points in the above question, identify whether it a local minimizer, local maximizer, or saddle point. (c) (2 points) Is there a global minimizer?
2. For the two-argument function defined below: f(x,y) = 2x2 – 8xy + 5y + 3y2...
2. For the two-argument function defined below: f(x,y) = 2x2 – 8xy + 5y + 3y2 (a) Find fx = and fex = . (5 marks) (b) Find fy = and fyy (5 marks) (c) Determine the critical point(s) of the f(x,y). (8 marks) (d) Find fxy (3 marks) (e) Determine each of the critical point(s) in the above (c) whether is a local minimum, local maximum or saddle point by using second partial derivative test. (4 marks)
Consider the optimization problem minimize f(x) subject to αεΩ where f(x) = x122, where x =...
Consider the optimization problem minimize f(x) subject to αεΩ where f(x) = x122, where x = [11, [2], and N = {x € R2 : x1 = 22, Xı >0}. (a) Find all points satisfying the KKT condition. (b) Do each of the points found in part (a) satisfy the second-order necessary condition? (c) Do each of the points found in part (a) satisfy the second-order sufficient condition?
Please help me solve this problem. Thanks! Problem 1 (weight 25%) Consider the problem Maximise f(x, y, z) = x + y +2z when g(x,y,z) = x2 +y2 +2z2 = 4. (*) (a) Explain why the problem (*) does have a...
Please help me solve this problem.
Thanks!
Problem 1 (weight 25%) Consider the problem Maximise f(x, y, z) = x + y +2z when g(x,y,z) = x2 +y2 +2z2 = 4. (*) (a) Explain why the problem (*) does have a solution (b) Suppose that ( has a solution, and use Lagrange's method to set up the necessary conditions for solving the problem. (c)Find all the triplets (r. y, 2) that satisfy the necessary conditions for solving the problem (*),...
1. Consider the constrained optimization problem: min f(x,x2) - (x-3)2 (x2 -3)2 Subject to Is this...
1. Consider the constrained optimization problem: min f(x,x2) - (x-3)2 (x2 -3)2 Subject to Is this problem convex? Justify your answer Form the Lagrangian function. a. b. Check the necessary and sufficient conditions for candidate local minimum points. Note that equality constraint for a feasible point is always an active constraint c. d. Is the solution you found in part (c) a global minimum? Explain your answer
Problem 8-02 (Algorithmic) Consider the problem 2x18x + 2XY Y- 18Y +53 Min s.t. X 4Y...
Problem 8-02 (Algorithmic) Consider the problem 2x18x + 2XY Y- 18Y +53 Min s.t. X 4Y s 8 a. Find the minimum solution to this problem. If required, round your answers to two decimal places. 1.16 V, Y V, for an optimal solution value of 4.36 Optimal solution is X3.36 b. If the right-hand side of the constraint is increased from 8 9, how much do you expect the objective function to change? If required, round your answer to two...
Consider the problem of maximizing profits for the production function of the form f(x) =xa where...
Consider the problem of maximizing profits for the production function of the form f(x) =xa where a > 0. State the first and second order conditions and solve for factor demand function, supply function and profit function 9.
+ 1. Consider the problem minimize f (x1, x2) = x;} +233 – -21 - 4.12 + 2. (a) (4 points) Find all of the points (21,22)T that satisfy the first-order necessary condition (FONC). (b) (4 points) For each of the points in the above question, identify whether it a local minimizer, local maximizer, or saddle point. (C) (2 points) Is there a global minimizer?
+ 1. Consider the problem minimize f (x1, x2) = x;} +233 – -21 - 4.12 + 2. (a) (4 points) Find all of the points (21,22)T that satisfy the first-order necessary condition (FONC). (b) (4 points) For each of the points in the above question, identify whether it a local minimizer, local maximizer, or saddle point. (C) (2 points) Is there a global minimizer?
+ 1. Consider the problem minimize f (x1, x2) = x;} +233 – -21 - 4.12 + 2. (a) (4 points) Find all of the points (21,22)T that satisfy the first-order necessary condition (FONC). (b) (4 points) For each of the points in the above question, identify whether it a local minimizer, local maximizer, or saddle point. (C) (2 points) Is there a global minimizer?
1. Consider the problem minimize f (x1, x2) = x} + 2x3 – 21 – 4x2 + 2. (a) (4 points) Find all of the points (21, x2)T that satisfy the first-order necessary condition (FONC). (b) (4 points) For each of the points in the above question, identify whether it a local minimizer, local maximizer, or saddle point. (c) (2 points) Is there a global minimizer?
2. For the two-argument function defined below: f(x,y) = 2x2 – 8xy + 5y + 3y2 (a) Find fx = and fex = . (5 marks) (b) Find fy = and fyy (5 marks) (c) Determine the critical point(s) of the f(x,y). (8 marks) (d) Find fxy (3 marks) (e) Determine each of the critical point(s) in the above (c) whether is a local minimum, local maximum or saddle point by using second partial derivative test. (4 marks)
Consider the optimization problem minimize f(x) subject to αεΩ where f(x) = x122, where x = [11, [2], and N = {x € R2 : x1 = 22, Xı >0}. (a) Find all points satisfying the KKT condition. (b) Do each of the points found in part (a) satisfy the second-order necessary condition? (c) Do each of the points found in part (a) satisfy the second-order sufficient condition?
Please help me solve this problem.
Thanks!
Problem 1 (weight 25%) Consider the problem Maximise f(x, y, z) = x + y +2z when g(x,y,z) = x2 +y2 +2z2 = 4. (*) (a) Explain why the problem (*) does have a solution (b) Suppose that ( has a solution, and use Lagrange's method to set up the necessary conditions for solving the problem. (c)Find all the triplets (r. y, 2) that satisfy the necessary conditions for solving the problem (*),...
1. Consider the constrained optimization problem: min f(x,x2) - (x-3)2 (x2 -3)2 Subject to Is this problem convex? Justify your answer Form the Lagrangian function. a. b. Check the necessary and sufficient conditions for candidate local minimum points. Note that equality constraint for a feasible point is always an active constraint c. d. Is the solution you found in part (c) a global minimum? Explain your answer
Problem 8-02 (Algorithmic) Consider the problem 2x18x + 2XY Y- 18Y +53 Min s.t. X 4Y s 8 a. Find the minimum solution to this problem. If required, round your answers to two decimal places. 1.16 V, Y V, for an optimal solution value of 4.36 Optimal solution is X3.36 b. If the right-hand side of the constraint is increased from 8 9, how much do you expect the objective function to change? If required, round your answer to two...
Consider the problem of maximizing profits for the production function of the form f(x) =xa where a > 0. State the first and second order conditions and solve for factor demand function, supply function and profit function 9.
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