What is an infeasible solution in Linear Programming?
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An infeasible solution occurs when no solution satisfies all the constraints in the LP problem. This means there is no point in the feasible region that can meet all the restrictions simultaneously. It typically happens when constraints are contradictory or overly restrictive.
An infeasible solution in linear programming is a set of variable values that does not meet one or more constraints, placing it outside the feasible region. Identifying infeasibility is important, as it indicates the need to reassess constraints or the problem formulation to find a viable solution.
An infeasible solution in linear programming occurs when there are no values for the decision variables that satisfy all of the constraints simultaneously. In other words, the feasible region is empty, meaning the problem has no solution that meets the requirements.
An infeasible solution in linear programming occurs when there are no possible values for the decision variables that satisfy all the constraints simultaneously.