6. Simplex convergence
At each stage of the simplex algorithm (in phase 2), we can distinguish remarkable cases, all of which lead to the algorithm being stopped:
1. If the reduced costs are all strictly negative, i.e. , then the current feasible basic solution is the unique optimum (see figure 3);
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Simplex convergence
Initialization, auxiliary problem and artificial variables: phase 1
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