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    True/False questions on integer programming

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    True/False

    1. Rounding non-integer solution values up to the nearest integer value will still result in a feasible solution to an integer programming problem.

    2. Rounding non-integer solution values up to the nearest integer value will still result in a feasible solution.

    3. The solution to the LP relaxation of a minimization integer linear program provides an upper bound for the value of the objective function.

    4. If we are solving a 0-1 integer programming problem, the constraint x1 = x2 s a conditional constraint.

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    Solution Preview

    True/False

    1 Rounding non-integer solution values up to the nearest integer value will still result in a feasible solution to an integer programming problem.

    FALSE

    The rounded solution may be unfeasible. If we round up non-integer solution values up to the nearest integer value the point may lie outside the feasible region, making this solution unfeasible.

    2. ...

    Solution Summary

    Explanations and answers to four true/false questions on integer programming.

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