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Utilize the simplex algorithm for maximization to get the maximum worth. This maximum worth is similar to the least worth for the initial issue. The coefficients of the slack variables in row ((0)) correspond into the values with the variables in the initial difficulty.
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and Be aware which the graph can be a straight line that intersects the location. Discover also that these traces are parallel.
If a component in the ideal facet in the matrix is (0,) then be sure that the coefficient of The fundamental variable in that row is optimistic.
It is feasible to resolve smaller assignment complications by enumerating all achievable results as an alternative to modeling them as linear programming complications.