Infeasibility in linear programming refers to the situation where no solution satisfies all constraints simultaneously, often due to conflicting requirements. It can be identified during the solution process and indicates the need to reassess the problem's constraints or objectives.

Infeasibility occurs in linear programming when no feasible solutions satisfy all constraints, often due to conflicting constraints or overly restrictive conditions.

The is no solution or an unsolvable problem

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.

Infeasibility occurs when no solution satisfies all constraints in a linear programming problem.

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