Standard form:
Max Z = 1x1 + 2x2 + 0s1 + 0s2
s.t.
-1x1 + 1x2 + 1s1 = 2
-2x1 + 1x2 + 1s2 = 1
x1, x2, s1, s2 >= 0
Iteration-1 | Cj | 1 | 2 | 0 | 0 | ||
B | CB | XB | x1 | x2 | S1 | S2 | Min Ratio XB / x2 |
S1 | 0 | 2 | -1 | 1 | 1 | 0 | 2 / 1=2 |
S2 | 0 | 1 | -2 | (1) | 0 | 1 | 1 / 1=1→ |
Z=0 | Zj | 0 | 0 | 0 | 0 | ||
Zj-Cj | -1 | -2↑ | 0 | 0 |
Negative minimum Zj-Cj is -2
and its column index is 2. So, the entering variable is
x2.
The minimum ratio is 1 and its row index is 2. So, the leaving
basic variable is S2.
So, the pivot element is 1.
Entering =x2, Departing =S2, Key Element =1
Row operations:
Iteration-2 | Cj | 1 | 2 | 0 | 0 | ||
B | CB | XB | x1 | x2 | S1 | S2 | Min Ratio XB / x1 |
S1 | 0 | 1 | (1) | 0 | 1 | -1 | 1 / 1=1→ |
x2 | 2 | 1 | -2 | 1 | 0 | 1 | --- |
Z=2 | Zj | -4 | 2 | 0 | 2 | ||
Zj-Cj | -5↑ | 0 | 0 | 2 |
Negative minimum Zj-Cj is -5
and its column index is 1. So, the entering variable is
x1.
The minimum ratio is 1 and its row index is 1. So, the leaving
basic variable is S1.
So, the pivot element is 1.
Entering =x1, Departing =S1, Key Element =1
Row operations:
Iteration-3 | Cj | 1 | 2 | 0 | 0 | ||
B | CB | XB | x1 | x2 | S1 | S2 | Min Ratio XB / S2 |
x1 | 1 | 1 | 1 | 0 | 1 | -1 | --- |
x2 | 2 | 3 | 0 | 1 | 2 | -1 | --- |
Z=7 | Zj | 1 | 2 | 5 | -3 | ||
Zj-Cj | 0 | 0 | 5 | -3↑ |
Variable S2 should enter into the basic but this is
becoming impossible for none of the ratio XB / S2 is > 0 for all
the S2 column elements are < 0.
So, there exists no feasible solution to this problem.
1. Apply the simplex method to solve the following LP. Use the tableau format. You should...
3. Use the two-phase simplex method to solve the following LP. Min z = x1 + 2x2 Subject to 3x1 + 4x2 < 12 2x1 - x2 2 2 X1, X2 20
1. Solve the following LP by the simplex method. Min z = 2x2 – Xı – X3 Subject to *1 + 2x2 + x3 = 12 2x1 + x2 – x3 = 6 -X1 + 3x2 = 9 X1, X2, X3 > 0
Find the pivot in the simplex tableau. The pivot is _______ . Use the indicated entry as the pivot and perform the pivoting. Complete the following simplex tableau to show the result of the pivoting. Use the simplex method to solve the linear programming problem. Maximize z=3x1 +2x2 +x3 subject to 2x1 +2x2 + x3 ≤ 14 x1 + 3x2 +3x3 ≤ 16 x ≥ 0, x2 ≥ 0, x3 ≥ 0. Select the correct choice below and, if necessary, fill in the answer boxes to complete your choice.
Use the dual simplex method to solve the following LP. Max z = -4xı - 6x2 - 18x3 Subject to 2x1 + 3x3 2 3 3x2 + 2x3 25 X1, X2, X3 20
Use the dual simplex method to solve the following LP. Max z = -4xı - 6x2 - 18x3 Subject to 2x1 + 3x3 2 3 3x2 + 2x3 25 X1, X2, X3 20
Use the dual simplex method to solve the following LP. Max z = -4xı - 6x2 - 18x3 Subject to 2x1 + 3x3 2 3 3x2 + 2x3 25 X1, X2, X3 20
5. Solve the following LP problem using Phase I and Phase II simplex algorithm. Maximize f(X) = x1 + x2, subject to: 4x1-2x2 8 XI6 X1, X20
5. Solve the following LP problem using Phase I and Phase II simplex algorithm. Maximize f(X) = x1 + x2, subject to: 4x1-2x2 8 XI6 X1, X20
Use the simplex method to solve the following maximum problem: Maximize P= x1 +2:02 Subject to the constraints: 2x1 + x2 < 8 21 +2y < 5 X1 > 0 22 > 0 and using your final tableau answer the questions below by entering the correct answer in each blank box. Please enter fractions as 3/5, -4/7, and so on. 21 2 P=
5. Use the simplex method with the tableau to solve the following LP. Report the value of all the variables of an optimal solution, if there is an optimal solution. If there is no optimal solution, report why. [15 points) maxx s.t. 5.x, 54 6x, 58 3x, 33 x 20
Problem 3. Solve the following LP by the simplex method. max -x1 + x2 + 2xz s. t x1 + 2x2 – x3 = 20 -2x1 + 4x2 + 2x3 = 60 2xy + 3x2 + x3 = 50 X1, X2, X3 > 0 You can start from any extreme point (or BFS) that you like. Indicate the initial extreme point (or BFS) at which you start in the beginning of your answer. (30 points)