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Information about math 164 lecture 2, including homework assignment #4 with problems related to linear programming, minimization, feasible points, and feasible directions. Students are required to solve as many problems as they can from the textbook and review sections 4.2 and 4.3.
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Math 164, Lecture 2, Vese Homework #4, due on Wednesday, October 26, 2005 Remarks:
[1] Consider the problem minimize f (x) subject to x 1 + 2x 2 + 3x 3 = 6, x 1 ≥ 0 , x 2 ≥ 0 , x 3 ≥ 0 ,
and the point xc = (1, 1 , 1)T^. (a) Show that xc is a feasible point. (b) Verify that p = (3, 0 , −1)T^ is a feasible direction for xc (see also your previous homework). (c) Find an upper bound on the step length α so that xc + αp is a feasible point, with p = (3, 0 , −1)T^.
[2] Consider the following linear program (compare with Problem [3] from Hw#3): minimize z = 3x 1 + x 2 , subject to −x 1 + x 2 ≥ − 1 , 3 x 1 + 2x 2 ≤ 12 , 2 x 1 + 3x 2 ≤ 3 , x 1 , x 2 ≥ 0. (a) Solve the problem graphically. (b) Write the problem in standard form.
[3] Consider the system of linear constraints
2 x 1 + x 2 ≤ 100 , x 1 + x 2 ≤ 80 , x 1 ≤ 40 , x 1 , x 2 ≥ 0. (a) Write this system in standard form, and determine all the basic solu- tions (feasible and infeasible). (b) Determine the extreme points of the feasible region (corresponding to both the standard form, as well as the original version).