Linear Programming

Linear Programming

Assessment

Flashcard

Mathematics

11th Grade

Practice Problem

Hard

CCSS
HSA.REI.D.12, 8.EE.C.8B

Standards-aligned

Created by

Wayground Content

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15 questions

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1.

FLASHCARD QUESTION

Front

What is Linear Programming?

Back

Linear Programming is a mathematical method for determining a way to achieve the best outcome in a given mathematical model. Its function is to maximize or minimize a linear objective function, subject to linear equality and inequality constraints.

2.

FLASHCARD QUESTION

Front

What is the objective function in Linear Programming?

Back

The objective function is a mathematical expression that defines the goal of the linear programming problem, typically to maximize or minimize a quantity, such as profit or cost.

3.

FLASHCARD QUESTION

Front

What does the feasible region represent in Linear Programming?

Back

The feasible region is the set of all possible points that satisfy the constraints of a linear programming problem. It is typically represented graphically as a polygon.

Tags

CCSS.HSA.REI.D.12

4.

FLASHCARD QUESTION

Front

What is the significance of corner points in the feasible region?

Back

Corner points (or vertices) of the feasible region are significant because the optimal solution to a linear programming problem will occur at one of these points.

5.

FLASHCARD QUESTION

Front

What is a constraint in Linear Programming?

Back

A constraint is a condition that must be satisfied in a linear programming problem, usually expressed as a linear inequality or equation.

Tags

CCSS.8.EE.C.8B

6.

FLASHCARD QUESTION

Front

What type of line is used to represent inequalities in Linear Programming graphs?

Back

Dashed lines are used to represent inequalities that do not include the boundary (e.g., < or >), while solid lines are used for inequalities that do include the boundary (e.g., ≤ or ≥).

Tags

CCSS.HSA.REI.D.12

7.

FLASHCARD QUESTION

Front

How do you determine the maximum value of an objective function?

Back

To determine the maximum value of an objective function, evaluate the function at each corner point of the feasible region and identify the highest value.

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