Practice Potential Issues in Linear Programming - 7.6 | 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

What is a feasible region in linear programming?

💡 Hint: Think about the space formed by your constraints.

Question 2

Easy

What happens if there are conflicting constraints?

💡 Hint: Consider what happens to shapes when lines cross in different ways.

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 defines a feasible region in linear programming?

  • A line of best fit
  • The intersection area of constraints
  • Any point in the graph

💡 Hint: Visualize an area enclosed by multiple lines.

Question 2

True or False: An unbounded feasible region can have a maximum value.

  • True
  • False

💡 Hint: What happens if there's no limit to how high we can go?

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given constraints that conflict, illustrate how different shapes emerge and why it affects feasible regions.

💡 Hint: Think of two lines that would never cross.

Question 2

Design a linear program that has an unbounded solution and describe the implications.

💡 Hint: Explore what happens when you can always increase production without limits.

Challenge and get performance evaluation