# Question

Consider the following problem.

Maximize Z = x1 – x2 + 2x3,

Subject to

and

x1 ≥ 0, x2 ≥ 0, x3 ≥ 0

Let x4, x5, and x6 denote the slack variables for the respective constraints. After you apply the simplex method, a portion of the final simplex tableau is as follows:

(a) Use the fundamental insight presented in Sec. 5.3 to identify the missing numbers in the final simplex tableau. Show your calculations.

Maximize Z = x1 – x2 + 2x3,

Subject to

and

x1 ≥ 0, x2 ≥ 0, x3 ≥ 0

Let x4, x5, and x6 denote the slack variables for the respective constraints. After you apply the simplex method, a portion of the final simplex tableau is as follows:

(a) Use the fundamental insight presented in Sec. 5.3 to identify the missing numbers in the final simplex tableau. Show your calculations.

## Answer to relevant Questions

Consider the following problem. Maximize Z = 4x1 + 3x2 + x3 + 2x4, Subject to and x1 ≥ 0, x2 ≥ 0, x3 ≥ 0, x4 ≥ 0. Let x5 and x6 denote the slack variables for the respective constraints. After you apply the simplex ...For iteration 2 of the example in Sec. 5.3, the following expression was shown: Derive this expression by combining the algebraic operations (in matrix form) for iterations 1 and 2 that affect row 0. Work through the revised simplex method step by step to solve the model given in Prob. 4.7-5. Construct the dual problem for each of the following linear programming models fitting our standard form. (a) Model in Prob. 3.1-6 (b) Model in Prob. 4.7-5 Consider the primal and dual problems for the Wyndor Glass Co. example given in Table 6.1. Using Tables 5.5, 5.6, 6.8, and 6.9, construct a new table showing the eight sets of nonbasic variables for the primal problem in ...Post your question

0