Solve Problem w/ Two Phase Method: Max Z

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The discussion revolves around solving a linear programming problem using the two-phase method to maximize the objective function z = x_1 - 9x_2, subject to specific constraints. Participants confirm that the problem is indeed a linear programming issue, noting that the maximum or minimum of a linear function occurs at the vertices of the feasible region. The conversation highlights the need to identify the intersection points of the given equations to proceed with the two-phase method. The emphasis is on applying the two-phase approach to handle the constraints effectively. The thread ultimately seeks guidance on executing this method for the outlined problem.
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CAn somebody please help me that how can I solve the following problem with two phase method

maximize z = x_1 - 9x_2
subject to
x_1 +3x_2 +2x_3 =< 12
2x_1 + 2x_3 = 14
5x_1 +3x_2 +8x_3 = 50
x_1 >= 0, x_2>= 0, x_3>= 0.
 
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That's a "linear programming" problem, right?

Max or min of a linear function, over a convex polygon, will occur at a vertex. Here, however, two of the "inequalities" are actually equations.

Find the point at which the planes x_1+ 3x_2+ 2x_3= 12, 2x_1+ 2x_3= 14, and 5x_1+ 3x_2+ 8x_3= 50 intersect.
 
yes but I have to solve it by using two phase method
 
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