Infeasibility in linear programming occurs when no set of values for the decision variables satisfies all constraints, resulting in an empty feasible region. This situation arises from conflicting constraints and requires reassessment of the model to ensure realistic and achievable conditions for optimization.

a given problem or scenario cannot be solved or achieved

Infeasibility refers to a situation in optimization problems where no solution meets all of the constraints simultaneously. In the context of a transportation model, it occurs when the total supply does not meet the total demand, making it impossible to allocate resources accordingly. This can arise from mismatches in supply and demand or conflicting constraints, leading to the absence of a feasible solution

Infeasibility in linear programming occurs when no solution satisfies all of the given constraints simultaneously. In other words, it happens when the constraints conflict with each other, making it impossible to find any feasible solution that meets the conditions of the problem.

Infeasibility in linear programming occurs when no solution satisfies all the given constraints, meaning there is no feasible region where the constraints overlap.

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Infeasibility means that the number of solutions to the linear programming models that satisfies all constraints is zero.