Simplex Method Solution for HW2 Problem in Linear Programming - Prof. Steven Hudson, Assignments of Mathematics

The solution to problem 5.2.2 in hw2 of map 5236, using the revised simplex method. The initial tableau, the calculation process, and the optimal solution with an objective function value of 50.

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MAP 5236 Feb 12, 2005
HW 2 Remarks Prof. S. Hudson
I graded HW2 based mainly on problems 4.3.1 and 4.6.13a and 5.1.1b.
There was a question about Problem 5.2.2, which asks you to work though a problem
using the revised simplex method. Make sure you can do this kind of calculation for Exam
I. Matrices are awkward to type - but maybe you can check your work from this. Please
forgive the organization. The initial tableaux is
58746 0 0 0
2 3 3 2 2 1 0 20
3 5 4 2 4 0 1 30
We see that x2enters and x7leaves. From column 2 we get η= [3/5,1/5]T(this
is easier to type than a column vector) and we put it into B1(see below). Then v=
[0,8]B1= [0,8/5] and vA = (8/5)[3,5,4,2,4] and vA c= [1/5,0,3/5,4/5,2/5]
which still has negative numbers in it.
So, x4enters. Column 4 is B1[2,2]T= [4/5,2/5]T. The RHS is B1[20,30]T=
[2,6]T. The minimal ratio is 2 over 4/5, so x6leaves. We get η= [5/4,1/2]Tand the new
B1is computed from this and from the old one (see below). Then v= [4,8]B1= [1,1]
and by coincidence we get vA c= [0,0,0,0,0]. Since there are no negatives, we can
stop. An optimal solution is [x4, x2]T=B1b= [2.5,5]T(other variables are 0) with
Z=cx = 50.
However, the large number of zeroes in vA cis a warning sign. Notice that x1is
non-basic, but has a coefficient of 0 in row (0). This means it can enter, and produce a
different optimal solution [10,0,0,0,0] which also gives Z= 50. Likewise, we could let x3
or x5enter and collect more optimal CPF solutions. Unfortunately, the textbook’s answer
key only mentions the first one and I won’t try to list them all.
Here are the B1matrices for this problem, not including the first one, which is always
I, and not including any used to find the additional optimal solutions.
B1=13/5
0 1/5B1=5/4 0
1/2 1 13/5
0 1/5=5/43/4
1/2 1/2
1

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MAP 5236 Feb 12, 2005 HW 2 Remarks Prof. S. Hudson

I graded HW2 based mainly on problems 4.3.1 and 4.6.13a and 5.1.1b.

There was a question about Problem 5.2.2, which asks you to work though a problem using the revised simplex method. Make sure you can do this kind of calculation for Exam I. Matrices are awkward to type - but maybe you can check your work from this. Please forgive the organization. The initial tableaux is

 

We see that x 2 enters and x 7 leaves. From column 2 we get η = [− 3 / 5 , 1 /5]T^ (this is easier to type than a column vector) and we put it into B−^1 (see below). Then v = [0, 8]B−^1 = [0, 8 /5] and vA = (8/5)[3, 5 , 4 , 2 , 4] and vA − c = [− 1 / 5 , 0 , − 3 / 5 , − 4 / 5 , 2 /5] which still has negative numbers in it.

So, x 4 enters. Column 4 is B−^1 [2, 2]T^ = [4/ 5 , 2 /5]T^. The RHS is B−^1 [20, 30]T^ = [2, 6]T^. The minimal ratio is 2 over 4/5, so x 6 leaves. We get η = [5/ 4 , − 1 /2]T^ and the new B−^1 is computed from this and from the old one (see below). Then v = [4, 8]B−^1 = [1, 1] and by coincidence we get vA − c = [0, 0 , 0 , 0 , 0]. Since there are no negatives, we can stop. An optimal solution is [x 4 , x 2 ]T^ = B−^1 b = [2. 5 , 5]T^ (other variables are 0) with Z = cx = 50.

However, the large number of zeroes in vA − c is a warning sign. Notice that x 1 is non-basic, but has a coefficient of 0 in row (0). This means it can enter, and produce a different optimal solution [10, 0 , 0 , 0 , 0] which also gives Z = 50. Likewise, we could let x 3 or x 5 enter and collect more optimal CPF solutions. Unfortunately, the textbook’s answer key only mentions the first one and I won’t try to list them all.

Here are the B−^1 matrices for this problem, not including the first one, which is always I, and not including any used to find the additional optimal solutions.

B−^1 =

B−^1 =