What is an infeasible solution in Linear Programming, and how can you identify it?
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An infeasible solution in Linear Programming means that no solution can satisfy all the given constraints at the same time. It can be identified when the constraints have no common feasible region or when the Simplex Method shows that no feasible solution exists.
An infeasible solution in Linear Programming occurs when no single point satisfies all the given constraints simultaneously, leaving an empty feasible region. In the final Simplex tableau, infeasibility is identified when an artificial variable remains basic with a positive value.
An infeasible solution means there is no solution that satisfies all the constraints. It can be identified when the constraints have no common feasible region or when an artificial variable remains positive in the final solution.
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