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Minimize using the simplex method: Z = 8x1 + 10x2 + 7x3 Subject to: x1 + 3x2 + 2x3 ≤ 10 -x1 - 5x2 - x3 ≥ -8 x1, x2, x3 ≥ 0
Anonymous
Oct 13
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#mathematics
#optimization
Minimize using the simplex method: Z = 8x1 + 10x2 + 7x3 Subject to: x1 + 3x2 + 2x3 ≤ 10 -x1 - 5x2 - x3 ≥ -8 x1, x2, x3 ≥ 0
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Oct 13
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To minimize Z = 8x1 + 10x2 + 7x3, subject to the constraints:
1. x1 + 3x2 + 2x3 ≤ 10
2. -x1 - 5x2 - x3 ≥ -8
3. x1, x2, x3 ≥ 0
We first convert the inequalities to equations by introducing slack variables:
1. x1 + 3x2 + 2x3 + x4 = 10
2. -x1 - 5x2 - x3 - x5 = -8
The initial simplex tableau is:
```
| x1 | x2 | x3 | x4 | x5 | RHS |
|------|------|------|------|------|-------|
| 1 | 3 | 2 | 1 | 0 | 10 |
| -1 | -5 | -1 | 0 | 1 | -8 |
| -8 | -10 | -7 | 0 | 0 | 0 |
```
We choose x1 as the entering variable and x5 as the leaving variable. Perform row operations to pivot:
```
| x1 | x2 | x3 | x4 | x5 | RHS |
|------|------|------|------|------|-------|
| 0 | -2 | 1 | 1 | 1 | 2 |
| 1 | 3 | 2 | 1 | 0 | 10 |
| 0 | 30 | 23 | 8 | 8 | 80 |
```
The next pivot is x2 entering and x4 leaving:
```
| x1 | x2 | x3 | x4 | x5 | RHS |
|------|------|------|------|------|-------|
| 0 | 0 | 5 | -2 | 3 | 8 |
| 1 | 0 | -4 | 5 | -3 | 2 |
| 0 | 1 | 23/30 | 8/30 | 8/30 | 8/3 |
```
The optimal solution is x1 = 2, x2 = 8/3, x3 = 8/3 with Z = 8(2) + 10(8/3) + 7(8/3) = 64/3.
0
Google Gemini AI
Oct 13
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Step 1: Convert to Standard Form
Introduce slack variables s1 and s2 to convert the inequality constraints to equalities:
x1 3x2 2x3 + s1 = 10
-x1 - 5x2 - x3 + s2 = -8
x1, x2, x3, s1, s2 ≥ 0
Step 2: Construct the Initial Simplex Tableau
|
Variable
|
x1
|
x2
|
x3
|
s1
|
s2
|
RHS
|
|---|---|---|---|---|---|---|
|
Z
| -8 | -10 | -7 | 0 | 0 | 0 |
|
s1
| 1 | 3 | 2 | 1 | 0 | 10 |
|
s2
| -1 | -5 | -1 | 0 | 1 | -8 |
Step 3: Choose the Entering Variable
The variable with the most negative coefficient in the Z-row is x1, so x1 enters the basis.
Step 4: Choose the Leaving Variable
To determine the leaving variable, calculate the ratios of the RHS to the coefficients of x1 in the constraint rows:
Ratio for s1: 10 / 1 = 10
Ratio for s2: -8 / -1 = 8
The smallest ratio is 8, so s2 leaves the basis.
Step 5: Perform the Pivot Operation
Divide the row of s2 by its pivot element (-1) to get:
|
Variable
|
x1
|
x2
|
x3
|
s1
|
s2
|
RHS
|
|---|---|---|---|---|---|---|
|
Z
| -8 | -10 | -7 | 0 | 0 | 0 |
|
s1
| 1 | 3 | 2 | 1 | 0 | 10 |
|
x1
| 1 | 5 | 1 | 0 | -1 | 8 |
Step 6: Repeat Steps 3-5 until an Optimal Solution is Reached
x2 enters the basis, s1 leaves the basis.
x3 enters the basis, x2 leaves the basis.
The final simplex tableau is:
|
Variable
|
x1
|
x2
|
x3
|
s1
|
s2
|
RHS
|
|---|---|---|---|---|---|---|
|
Z
| 0 | 0 | 0 | 0 | 0 | 68 |
|
s1
| 0 | 0 | -1 | 1 | 0 | 2 |
|
x2
| 0 | 0 | 2 | -1 | 0 | 4 |
|
x3
| 0 | 0 | 2 | 0 | -1 | 10 |
Optimal Solution:
Z = 68
x1 = 0
x2 = 4
x3 = 10
0
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