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the situation in which the value of the solution may be made infinitely large in a maximization linear programming problem or infinitely small in a minimization problem without violating any of the constraints is known as

Sagot :

The situation in which the value of the solution may be made infinitely large in a maximisation linear programming problem or infinitely small in a minimisation problem without violating any of the constraints is known as an unbounded solution

What is Linear Programming?

When a linear function is exposed to various constraints, it is maximised or reduced using the mathematical modelling technique known as linear programming.

Let's briefly define some situations

Infiniteness and semi-optimality, does not comply with what the situation exposes.

If there isn't a solution that satisfies all the requirements, the problem is said to be infeasible. As a result, this choice is not.

If the objective function can be improved indefinitely without going against the constraints and limits, then the problem is unbounded, and this is the right response.

The situation in which the value of the solution may be made infinitely large in a maximisation linear programming problem  is known as an unbounded solution

To learn more about Linear Programming visit: brainly.com/question/29405467

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