Linear Programming Exercises: Proving Optimal Solutions and Solving with Simplex Method, Exams of Programming Methodologies

A collection of linear programming exercises, including proving optimal solutions, solving problems using the simplex method, and finding the set of optimal solutions for the dual problem. Exercises cover various problem structures and involve maximizing and minimizing objectives.

Typology: Exams

2020/2021

Uploaded on 10/28/2022

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LINEAR PROGRAMMING EXERCISES
Exercise 1. Given a problem
( )
1 2 3 4
8 3 2 11 maxf x x x x= + + x
1 2 3 4
1 2 3 4
14
23
12
2 2 2
3 4 4
65
3 5 3
4 7 10
x x x x
x x x x
xx
xx
xx
+ +
+ +
+
−
+
Prove that
( )
0 1, 2, 0, 1=−x
is an extreme optimal solution of this problem.
Exercise 2. Given linear programming problem (I) as follow:
( )
1 2 3
1 2 3 4
1 2 3
2 2 max
2 3 6
2 3 6
0 ( 1 4)
j
f x x x
x x x x
x x x
xj
= +
+ =
=
x
and vector
( )
00, 0, 2, 0=x
.
a. Prove that
0
x
is an extreme solution of (I).
b. Solve (I) using simplex method with the initial extreme solution
0
x
Exercise 3. Given problem (I) as follow:
( )
1 2 3 4
1 2 3
1 2 3 4
4 3 3 31
26
2 3 33
0 1,4
j
x x x x
x x x
x x x x
xj
+ +
+
+ +
=
Prove that (I) always has an extreme optimal solution.
Exercise 4. Given problem (I) as follow:
pf3

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LINEAR PROGRAMMING EXERCISES

Exercise 1. Given a problem f ( x )= − 8 x 1 + 3 x 2 + 2 x 3 − 11 x 4 →max

1 2 3 4 1 2 3 4 1 4 2 3 1 2

x x x x x x x x x x x x x x

^ −^ +^ +^ ^ −

 +^ 

 +^ 

Prove that x^0 = ( −1, 2, 0, 1) is an extreme optimal solution of this problem.

Exercise 2. Given linear programming problem (I) as follow:

1 2 3 4 1 2 3

2 2 max 2 3 6 2 3 6 j^0 (^1 4)

f x x x x x x x x x x x j

x

and vector x^0 =( 0, 0, 2, 0 ).

a. Prove that x^0 is an extreme solution of (I). b. Solve (I) using simplex method with the initial extreme solution x^0

Exercise 3. Given problem (I) as follow:

f ( x )= 2 x 1 + 4 x 2 + 3 x 3 + x 4 →min

1 2 3 4 1 2 3 1 2 3 4

j^0 1, 4

x x x x x x x x x x x x j

^ −^ +^ +^ 

Prove that (I) always has an extreme optimal solution.

Exercise 4. Given problem (I) as follow:

f ( x )= 2 x 1 + 3 x 2 − 4 x 3 + 2 x 4 →min

1 2 3 2 3 5 2 3 4 5

j^0 1,

x x x x x x x x x x x j

^ −^ −^ =

Solve this problem using simplex method and find the set of optimal solutions. Show that the

optimal solution which is not an extreme point has x 1 (^) = 10

Exercise 5. Given linear programming problem (I) as follow:

f ( x )= 2 x 1 + 5 x 2 + 3 x 3 − x 4 + 2 x 5 →min

1 2 3 1 2 3 4 5 1 2 3 4 5

j^0 1,

x x x x x x x x x x x x x I

x j

^ −^ −^ 

 ^ =

a. Is vector x^0 =( 6, 0, 0, 0, 9 )an extreme optimal solution of (I)?

b. Find the set of optimal solutions of the dual problem.

Exercise 6. Given a problem:

f ( x )= 11 x 1 + 9 x 2 − 8 x 3 + 8 x 5 − 2 x 6 − x 7 →min

1 2 5 6 7 1 3 4 5 6 1 2 3 6 7 1 2 3 5 6 2 3 5 7

x x x x x x x x x x x x x x x x x x x x x x x x

^ −^ +^ +^ −^ =^ −

 +^ −^ −^ −^ ^ −

a. Find the feasible set and extreme points of the dual problem.

b. Prove that the above problem is solvable; Find the set of optimal solution of this problem.