Practice Introduction to Linear Programming - 7.1 | 7. Linear Programming | Design & Analysis of Algorithms - Vol 3
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define linear programming.

💡 Hint: What does 'linear' refer to in this context?

Question 2

Easy

What is an objective function?

💡 Hint: It represents the goal of our optimization problem.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What is the primary goal of linear programming?

  • To create complex functions
  • To maximize or minimize a linear function
  • To generate random numbers

💡 Hint: Remember what 'linear programming' involves in its name.

Question 2

True or False: The feasible region can be empty if constraints are too strict.

  • True
  • False

💡 Hint: Consider the implications of constraints on solutions.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

A factory produces three products: A, B, and C. Product A nets $500, B nets $300, and C nets $400. There are producing limits due to material constraints. Formulate a linear programming model to maximize profits.

💡 Hint: Follow the step-by-step formulation discussed in class.

Question 2

Given constraints A + 2B ≤ 20, 3C + 2A ≤ 30, and A, B, C ≥ 0, graph the inequalities and find the feasible region.

💡 Hint: Use graphing techniques and understand how inequalities create boundaries.

Challenge and get performance evaluation