Why is it essential for analysts to verify that a decision problem satisfies the six foundational properties of linear programming before formulating a model?
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Because if a problem doesn't actually satisfy LP's foundational properties. then an LP model will give a mathematically valid but practically incorrect or misleading solution.
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