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Solution within a specific range for variables.

Optimal solution representing the most cost-effective diet satisfying all nutrient requirements.

Optimal solution for the transportation of goods to minimize cost.

Optimal solution that minimizes waste material when cutting raw materials into pieces.

Value representing the rate of improvement in the objective function per unit increase in the right-hand side of a constraint.

Optimal solution for investment portfolio to minimize risk or maximize return.

Optimal solution for flow distribution to minimize transportation cost over a network.

Optimal solution to determine the most efficient crew assignments.

Optimal energy production and distribution to minimize costs or environmental impact.

The objective function can increase indefinitely.

Examines how the optimal solution changes with variations of input parameters.

Optimal solution for mixing ingredients to achieve a desired blend at minimal cost.

Maximize profit or minimize costs based on production constraints.

Optimal allocation of resources to tasks in a project.

Optimal solution found at a vertex of the feasible region.

Optimal solution where the objective function has its most extreme value.

Optimal solution that ensures adequate staffing while minimizing cost.

Optimal scheduling of production runs to meet demands in a timely manner.

Every LP problem has a corresponding dual problem with an optimal solution that gives the same objective value.

Optimal solution where to build facilities to minimize operational and transportation costs.

Optimal solution for what crops to plant to maximize profits or meet production goals.

Occurs when a pivot operation does not result in a change in the objective function value.

Optimal solution must be integer values.

No solution exists that satisfies all the constraints simultaneously.