# Question

Consider a two-variable mathematical programming problem that has the feasible region shown on the graph, where the six dots correspond to CPF solutions. The problem has a linear objective function, and the two dashed lines are objective function lines passing through the optimal solution (4, 5) and the secondbest CPF solution (2, 5). Note that the nonoptimal solution (2, 5) is better than both of its adjacent CPF solutions, which violates Property 3 in Sec. 5.1 for CPF solutions in linear programming. Demonstrate that this problem cannot be a linear programming problem by constructing the feasible region that would result if the six line segments on the boundary were constraint boundaries for linear programming constraints.

## Answer to relevant Questions

Consider the following problem. Maximize Z = 8x1 + 4x2 + 6x3 + 3x4 + 9x5, Subject to And x1 ≥ 0, j = 1,.,5. 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 ...Most of the description of the fundamental insight presented in Sec. 5.3 assumes that the problem is in our standard form. Now consider each of the following other forms, where the additional adjustments in the ...Work through the revised simplex method step by step to solve the model given in Prob. 3.1-6. Consider the primal and dual problems in our standard form presented in matrix notation at the beginning of Sec. 6.1. Use only this definition of the dual problem for a primal problem in this form to prove each of the ...Post your question

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