Practice Introduction to Linear Programming - 10.1 | 10. Linear Programming | ICSE 12 Mathematics
Students

Academic Programs

AI-powered learning for grades 8-12, aligned with major curricula

Professional

Professional Courses

Industry-relevant training in Business, Technology, and Design

Games

Interactive Games

Fun games to boost memory, math, typing, and English skills

Introduction to Linear Programming

10.1 - Introduction to Linear Programming

Enroll to start learning

You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What are the two main objectives in Linear Programming?

💡 Hint: Think of profit and cost.

Question 2 Easy

Name one component of a Linear Programming Problem.

💡 Hint: They all start with different letters.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does Linear Programming aim to do?

Maximize or minimize a non-linear function
Maximize or minimize a linear function
Only maximize costs
Only minimize resources

💡 Hint: Remember the definition of LP.

Question 2

True or False: Non-negativity restrictions allow decision variables to take negative values.

True
False

💡 Hint: Consider what the 'non-negativity' means.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

A company must decide how many units of Product A and Product B to produce. Each unit of A takes 2 hours of labor and 3 units of material, while each unit of B takes 5 hours and 2 units of material. The company can only afford 100 hours of labor and 60 units of material. Formulate this as a linear programming problem and determine the feasible region.

💡 Hint: Draw the constraints on a graph to visualize the feasible area.

Challenge 2 Hard

Using a graphical method, how would you solve the problem previously described? Explain the steps for finding the optimum solution.

💡 Hint: Focus on the vertices of the shape formed by the constraints.

Get performance evaluation

Reference links

Supplementary resources to enhance your learning experience.