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Linear Programming Word Problems | Graphic Organizer, Packets, Study Guide, Keys
Linear Programming Word Problems | Graphic Organizer, Packets, Study Guide, Keys
Linear Programming Word Problems | Graphic Organizer, Packets, Study Guide, Keys
Linear Programming Word Problems | Graphic Organizer, Packets, Study Guide, Keys
Linear Programming Word Problems | Graphic Organizer, Packets, Study Guide, Keys
Linear Programming Word Problems | Graphic Organizer, Packets, Study Guide, Keys
Linear Programming Word Problems | Graphic Organizer, Packets, Study Guide, Keys
Linear Programming Word Problems | Graphic Organizer, Packets, Study Guide, Keys
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Description

Countless Algebra 2 solving real world linear programming examples to solve maximizing/minimizing problems. Each problem is embedded inside a graphic organizer that aids students in developing the objective function and constraints. Students then graph the feasible region; the common solution area to a system of inequalities (constraints) in the first quadrant using the intercepts-method, and then solve the system of inequalities algebraically using either substitution or addition (a.k.a. linear combination) method. Finally, students plug in all the boundary points of the feasible region into the objective function to maximize or minimize for a linear programming real world problem.

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➤ Check out my PART 1 of the series - Foundation of Linear Programming

➤ Check out my BUNDLE - Linear Programming

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INCLUDED:

Step-by-step answer keys with notes to EVERYTHING!

✫ Blank graphic organizer template

✫ Worksheet - 1 problem (can use as a quiz or warm up)

✫ 2 Packets - 5 problems total inside a graphic organizer

✫ Study Guide worksheet - 9 problems (can print out blank graphic organizer provided to students for them to work on)

Report this resource to TPT
Reported resources will be reviewed by our team. Report this resource to let us know if this resource violates TPT's content guidelines.

Linear Programming Word Problems | Graphic Organizer, Packets, Study Guide, Keys

Higher Math Made Simple
47 Followers
$5.50

Highlights

Grades icon
Grades
10th - 12th
Standards icon
Standards
Pages
44
Answer Key
Included
Teaching Duration
1 Week

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What is linear programming and what is it used for? COMPLETE LESSON PACKAGE. The Part 1 of my series is the foundation of solving linear programming real world problems, which focuses on practicing all skills necessary such as graphing a system of inequalities (constraints) in the first quadrant usi
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Description

Countless Algebra 2 solving real world linear programming examples to solve maximizing/minimizing problems. Each problem is embedded inside a graphic organizer that aids students in developing the objective function and constraints. Students then graph the feasible region; the common solution area to a system of inequalities (constraints) in the first quadrant using the intercepts-method, and then solve the system of inequalities algebraically using either substitution or addition (a.k.a. linear combination) method. Finally, students plug in all the boundary points of the feasible region into the objective function to maximize or minimize for a linear programming real world problem.

----------------------

➤ Check out my PART 1 of the series - Foundation of Linear Programming

➤ Check out my BUNDLE - Linear Programming

----------------------

INCLUDED:

Step-by-step answer keys with notes to EVERYTHING!

✫ Blank graphic organizer template

✫ Worksheet - 1 problem (can use as a quiz or warm up)

✫ 2 Packets - 5 problems total inside a graphic organizer

✫ Study Guide worksheet - 9 problems (can print out blank graphic organizer provided to students for them to work on)

Report this resource to TPT
Reported resources will be reviewed by our team. Report this resource to let us know if this resource violates TPT's content guidelines.

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Standards

to see state-specific standards (only available in the US).
Create equations and inequalities in one variable and use them to solve problems.
Create equations in two or more variables to represent relationships between quantities; graph equations on coordinate axes with labels and scales.
Represent constraints by equations or inequalities, and by systems of equations and/or inequalities, and interpret solutions as viable or non-viable options in a modeling context. For example, represent inequalities describing nutritional and cost constraints on combinations of different foods.
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