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What is the difference between an LP problem having no feasible solution and one having an unbounded objective value?

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An LP (Linear Programming) problem with no feasible solution has an empty feasible region where no points satisfy all constraints, whereas an unbounded problem has a valid, infinitely extending feasible region where the objective value can improve forever without limit.

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