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1

1. (5 points) Prove that if (i)
x
is feasible to max
{
c
>
x
:
Ax
≤
b, x
≥
0
}
, (ii)
y
is feasible to
min
{
b
>
y
:
A
>
y
≥
c, y
≥
0
}
, and (iii)
c
>
x
=
b
>
y
, then
x
and
y
are both optimal.
2. (5 points) Prove that exactly one of the following two alternatives holds for the LP max
{
c
>
x
:
Ax
≤
0
, x
≥
0
}
: (a)
x
*
= 0 is an optimal solution, (b) LP is unbounded.
3. (10 points) Find the dual of the following LP using the primal-dual table without reformu-
lation. Solve both primal and dual LPs using a computer solver, and check the optimality
condition to verify the optimality of the solutions. Please submit (1) the dual LP, (2) primal
optimal solution and optimal objective value, (3) dual optimal solution and optimal objective
value, (4) optimality condition, (5) whether or not the optimal solutions satisfy the optimality
condition.
max
x
1
+ 2
x
2
s
.
t
.
x
1
-
2
x
2
-
x
3
+
x
4
≥
0
4
x
1
-
3
x
2
+ 4
x
3
-
2
x
4
≤
3
-
x
1
+
x
2
+ 2
x
3
+
x
4
= 1
x
2
≤
0
, x
3
≥ -
1
.


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- Spring '12
- lizhiwang