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Name: ___________________________
minimize - 8*x1 + 9*x2 + 2*x3 - 6*x4 - 5*x5
subject to 6*x1 + 6*x2 - 10*x3 + 2*x4 - 8*x5 >= 3
x1 , x2 , x3 , x4 , x5 >= 0
Write down a standard form representation of this problem:
maximize + 8*x1 - 9*x2 - 2*x3 + 6*x4 + 5*x5
subject to - 6*x1 - 6*x2 + 10*x3 - 2*x4 + 8*x5 <= 3
x1 , x2 , x3 , x4 , x5 >= 0
One could also answer this question by defining the terms
in equation (1.7); i.e.
n = 5,
m = 1,
c1 = 8, c2 = -9, c3 = -2, c4 = 6, c5 = 5
a11 = -6, a12 = -6, a13 = 10, a14 = -2, a15 = 8
maximize x1 + x2 - x3
subject to 2*x1 + x2 <= 1 (B.1)
x1 , x2 , x3 >= 0
maximize x1 + x2 - x3
subject to 2*x1 - x2 <= 1 (B.2)
x1 , x2 , x3 >= 0
maximize x1 + x2 - x3
subject to - x1 - 2*x2 <= 1 (B.3)
x1 , x2 , x3 >= 0
Which of the problems above are
infeasible,
which are unbounded,
and which have an optimal solution
(Hint, look at problem 1.4 in the text.) ?
x1 <= .5 and x2 <= 1.
It follows that (B.1) is not unbounded.
In addition, x1 = 0, x2 = 0 is a feasible solution.
Thus (B.1) has an optimal solution
.
If x1 = 0, x3 = 0, and x2 >= 1 in problem (B.2),
the objective is equal x2 and the constraint is satisfied.
Thus (B.2) is unbounded.
If x1 = 0, x3 = 0, and x2 >= .5 in problem (B.3),
the objective is equal x2 and the constraint is satisfied.
Thus (B.3) is unbounded.
maximize z = 5*x1 + 4*x2 + 3*x3
subject to s1 = 5 - 2*x1 - 3*x2 - x3
s2 = 11 - 4*x1 - x2 - 2*x3
s3 = 8 - 3*x1 - 4*x2 - 2*x3
s1, s2, s3, x1, x2, x3 >= 0
The basic feasible solution corresponding to this dictionary is
s1 = 5, s2 = 11, s3 = 8, x1 = 0, x2 = 0, x3 = 0
Keeping x1 and x2 equal to zero, and using the
equations above for the values of
s1, s2 and s3,
there is a maximum value of x3 that corresponds to a
feasible solution.
What is the corresponding feasible solution and value for z ?
x1 = 0
x2 = 0
x3 = 4
s1 = 5 - x3 = 1
s2 = 11 - 2*x3 = 3
s3 = 8 - 2*x3 = 0
z = 3*x3 = 12
maximize z = 4*x1 + 4*x2
subject to s1 = 6 - 2*x1 - 4*x2
s2 = 20 - 4*x1 - x2
s1, s2, x1, x2 >= 0
The first constraint equation above can be written as
x1 = 3 - 2*x2 - .5*s1
Replace the equation for s1 above by this equation,
and then use this equation to replace x1 in the
equations for z and s2 above.
What is the resulting dictionary representation of the problem above ?
maximize z = 4*(3 - 2*x2 - .5*s1) + 4*x2
subject to x1 = 3 - 2*x2 - .5*s1
s2 = 20 - 4*(3 - 2*x2 - .5*s1) - x2
s1, s2, x1, x2 >= 0
maximize z = 12 - 4*x2 - 2*s1
subject to x1 = 3 - 2*x2 - .5*s1
s2 = 8 + 7*x2 + 2*s1