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In linear programming, infeasibility refers to a situation where no feasible solution exists for a given set of constraints and objective function. This can occur when the constraints are contradictory or when the feasible region is empty. Infeasibility can be detected by solving the linear programming problem and finding that no solution satisfies all the constraints simultaneously. In such cases, the linear programming problem is said to be infeasible.

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It is the rejection of parts of the space which is formed by the decision variables and which is disallowed because of one or more of the linear constraints are not satisfied.

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7y ago
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Q: What is infeasibility in linear programming?
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