chapter 6

2. The region on one side of the graph of a linear relation on a Cartesian plane.
4. A linear inequality is a relationship between two linear expressions in which one expression is less than (<), greater than (>), less than or equal to (<=),or greater than or equal to (>=) the other expression.
5. The solution region for a system of linear inequalities that is modeling an optimization problem.
8. A limiting condition of the optimization problem being modelled, represented by a linear inequality.
9. The part of the graph of a linear inequality that represents the solution set; the solution region includes points on its boundary if the in equality has the possibility of equality.
10. A problem where a quantity must be maximized or minimized following a set of guidelines or conditions.
11. Consisting of separate or distinct parts. Discrete variables represent things that can be counted, such as people in a room.
12. In an optimization problem, the equation that represents the relationship between the two variables in the system of linear inequalities and the quantity to be optimized.

1. A point in the solution set that represents the maximum or minimum value of the objective function.
3. A mathematical technique used to determine which solutions in the feasible region result in .the optimal solutions of the objective function.
6. A connected set of numbers. In a continuous set, there is always another number between any two given numbers. Continuous variables represent things that can be measured, such as time.
7. The set of all possible solutions.