Practice Three-Dimensional Geometrical Representation - 7.8 | 7. Linear Programming | Design & Analysis of Algorithms - Vol 3
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Three-Dimensional Geometrical Representation

7.8 - Three-Dimensional Geometrical Representation

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Define linear programming in your own words.

💡 Hint: Think about how businesses optimize profits.

Question 2 Easy

What is a feasible region in linear programming?

💡 Hint: Consider a geometric space that fits the conditions set by inequalities.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the main goal of linear programming?

To maximize or minimize a linear function
To solve equations
To define geometric shapes

💡 Hint: Consider what you aim to achieve in optimization problems.

Question 2

True or False: The feasible region is always a convex shape.

True
False

💡 Hint: Visualize two points inside the region connecting with a line.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

A company produces three types of gadgets, A, B, and C, with profits of 50, 100, and 200 respectively. Each type has its production limits and constraints. Form the linear programming model and identify your optimal production strategy.

💡 Hint: Focus on defining constraints clearly for material usage.

Challenge 2 Hard

A farmer has three types of crops with limited land and resources. Describe how to represent this scenario through a three-dimensional model. What optimization problems could arise?

💡 Hint: Think about resources as boundaries when planting.

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