a. Show that the basic feasible solution where x1, x2, x3, and
x4 is not a feasible solution to the given LP.
b. Show that the basic feasible solution where x1, x3, x4, and
the excess variable of the second constraint (e2) are basic
variables is the optimal solution. Find the values of the decision
variables and Z in the optimal solution.
c. For which values of the right hand side of the first
constraint, the current optimal basic feasible solution remains
optimal?
d. Find the new solution if the right hand side of the first
constraint is changed to 12. Use dual simplex if necessary.
e. For which values of the objective function coefficient of
x3, the current optimal basic feasible solution remains
optimal?
f. Find the new solution if the objective function coefficient
of x3 is changed to 4. Use revised simplex if necessary
Use the Simplex method to solve the following problem:
Max Z = x1 + 2x2 + 3x3
s. to2x1 + x2 + x3 <= 20
x1 + 2x2 - x3 <= 20
3x2 + x3 <= 10
x1, x2, x3 >= 0
Clearly specify the optimal values of all variables ya used in your
procedure as well as the optimal value of the objective
function.
In part a), say what corner point was analyzed in each iteration
and give the...
3) (15 pts) Consider the following LP formulation: max z = x1 +
2x2 s.t. − x1 + x2 ≤ 2 x2 ≤ 3 kx1 + x2 ≤ 2k + 3 x1, x2 ≥ 0 The
value of the parameter k ≥ 0 has not been determined yet.
The solution currently being used is x1 = 2, x2 = 3. Use
graphical analysis to determine the values of k such that this
solution is actually optimal.
Consider the following LP model.Max Z = 3x1 - 4x2 +
x3
subject to x1 + x2 + x3 >= 9
2x1
+ x2 + x3<= 12
x1 + x2 = 5
x1, x2, x3 >= 0
Change it to standard form.
Obtain all the basic solutions and indicate which ones are basic
feasible solutions and write down the corresponding corner points.
For each basic solution, you have to obtain the values of all the
variables.
Obtain the solution of the LP...
Simplex Method Consider the following linear programming
problem:
max
z = 6x1 + 3x2 - 9x2 - 9x3 + 15x4
s.t. 2x1 + 4x2 +6x3 + 8x4 <= 80
6x1
- 3x2 +3x3 + 6x4 <= 24
12x1 - 6x2 + 3x3 - 3x4 <= 30
x1,
x2, x3, x4 >= 0
Rewrite the problem in standard form, that is, add the necessary
slack variables in order to consider only equality constraints (and
non-negativity).
What is the...
Find the optimum solution to the following LP by using the
Simplex Algorithm.
Min z = 3x1 – 2x2+ 3x3
s.t.
-x1 + 3x2 ≤ 3
x1 + 2x2 ≤ 6
x1, x2, x3≥ 0
a) Convert the LP into a maximization problem in standard
form.
b) Construct the initial tableau and find a bfs.
c) Apply the Simplex Algorithm.
(Operation Research II Industrial Engineering)
Consider the following LP:
Minimize z = x1 + 2x2
Subject to x1 + x2 >= 1
-x1 + 2x2 <= 3
x2 <= 5
x1,x2 >= 0
(a) Convert the LP given above to the standard form. Determine
all the basic feasible solutions (bfs) of the problem. Give the
values of both basic and nonbasic variables in each bfs.
(b) Identify the adjacent basic feasible solutions of each
extreme point of the feasible region....