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In linear programming problems when does feasibility change ?
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Change in right hand side of feasible region
Linear programming feasibility is if a solution meets all restrictions. Feasible problems have solutions. Infeasible solution meets all requirements.
Changes in limitations or objective function can affect feasibility. If a new requirement makes it impossible to develop a solution t constraints, the problem becomes infeasible. However, removing a constraint may make the challenge doable.
Changing the objective function might also affect feasibility. The task is viable if the new objective function solves all restrictions. infeasible if the new objective function yields a solution that violates all restrictions.
Changes in limitations or objective function can affect feasibility. If a new requirement makes it impossible to develop a solution t constraints, the problem becomes infeasible. However, removing a constraint may make the challenge doable.
Changing the objective function might also affect feasibility. The task is viable if the new objective function solves all restrictions. infeasible if the new objective function yields a solution that violates all restrictions.
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