linear programming unbounded


  • What is unbounded in linear programming?

    An unbounded solution of a linear programming problem is a situation where objective function is infinite. A linear programming problem is said to have unbounded solution if its solution can be made infinitely large without violating any of its constraints in the problem.
  • How do you know if an LP is unbounded?

    A linear program is unbounded if it is feasible but its objective function can be made arbitrarily “good”. For example, if a linear program is a min- imization problem and unbounded, then its objective value can be made arbitrarily small while maintaining feasibility.
  • What is an example of an unbounded solution in linear programming?

    The unbounded solution is explained in the following Example. Consider the following linear programming problem. Maximize 5x1 + 4x2 Subject to: x1 – x2 ? 8 x1 ? 7 x1, x2 ? 0. Note that z2 - c2 < 0 which indicates x2 should be introduced as a basic variable in the next iteration.
  • An infeasible problem is a problem that has no solution while an unbounded problem is one where the constraints do not restrict the objective function and the objective goes to infinity. Both situations often arise due to errors or shortcomings in the formulation or in the data defining the problem.
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