MidtermSolutions - ESI 6314: Midterm Take Home Exam Answers...

Info iconThis preview shows pages 1–3. Sign up to view the full content.

View Full Document Right Arrow Icon
ESI 6314: Midterm Take Home Exam Answers Question 1 (15 points): True/False and why/why not The following five questions are true/false. Credit is given only if a brief rationale is provided with your answers. (A sentence or two will suffice.) Part a (3 points): All optimal solutions to a linear program exist at extreme points. False. Some linear programs have alternative optimal extreme points. Every point on the line between alternative optimal extreme points are also optimal. In this case, there’s an infinite number of optimal solutions, and some are not extreme points. Part b (3 points): In the simplex method for a minimization problem, the objective function strictly decreases at each iteration until an optimal solution is found. (An iteration consists of entering a nonbasic variable and exiting a basic variable.) False. If the problem is degenerate, we could enter a variable with a negative reduced cost, but zero might win the minimum ratio test, and we would not change our solution (or objective) at the next iteration. Part c (3 points): The minimum ratio test is designed to ensure that no variable becomes negative in our solution (except maybe for the z -value itself). True. We wish to make the entering variable as large as possible, because increasing the entering variable improve our objective function. However, we have to stop increasing the entering variable before any of our basic variables become negative. This limit is determined by the minimum ratio test. Part d (3 points): If both a primal problem and its dual have feasible solutions, neither problem can be unbounded. True. A feasible solution to a min problem puts an upper bound on the optimal objective function value, and a feasible solution to a max problem puts a lower bound on the optimal objective function value. Part e (3 points): Suppose that the shadow price for a constraint is equal to 5, and that its range allows an increase of 10 and a decrease of 3 before the basis changes. Then if the right-hand-side for that constraint is increased by 5, the optimal objective function value will increase by 25. True. The shadow price of a constraint tells you the rate of change in the objective function when you change its right-hand-side. If the shadow price is 5, and you increase
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
the right-hand-side by 5, the objective function change is going to be 25 in the objective function as long as our right-hand-side change is within the allowable range . In this case, the shadow price is valid as long as we do not decrease the right-hand-side by more than 3, or increase it by more than 10. Question 2 (20 points): Model the following problem as a linear program. Consider a cancer patient who is being treated with radiation therapy. The doctor has determined that she should receive treatment in a two-dimensional cross-section, represented by a 6 x 6 grid (or matrix). The following matrix gives the number of units of radiation that should be received:
Background image of page 2
Image of page 3
This is the end of the preview. Sign up to access the rest of the document.

Page1 / 8

MidtermSolutions - ESI 6314: Midterm Take Home Exam Answers...

This preview shows document pages 1 - 3. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online