pulp.tar.gz

pulp

We make optimization decisions every day. To improve the performance of your applications, computers need to do the same. This course will help you optimize computing functions through the open-source Python library PuLP.

In this course, you’ll learn about linear programming, an optimization approach that maximizes or minimizes functions through defined algebra, and the PuLP library along with its various optimizers available via APIs. You’ll identify the variables and constraints of computing functions and define the optimization goals. You’ll then learn and practice common linear programming algorithms. Finally, you’ll be introduced to potential applications in the real world.

By the end of the course, you will be able to optimize computing functions using Python and PuLP.

Master Linear Programming in Python with PuLP

The objective function can be optimized.


What are the number of parameters to be optimized if the number of available constraints is 3 and the number of parameters to be optimized is 4?


What are the number of parameters to be optimized if the number of available constraints is 3 and the number of parameters to be optimized is 4?

The linear function, the minima/maxima, and function variables


The linear function, constraints, and function variables


The objective function, constraints, and function variables


The function, constraints, and decision variables


What three things do we need to solve any problem with linear programming?


What three things do we need to solve any problem with linear programming?

Express the objective function in words.


What is recommended before we create a formal linear programming model?


What is recommended before we create a formal linear programming model?

A paid library that can be used to solve optimization problems


An open-source library that can create mathematical models of an optimization problem


An open-source library that can contain different solvers for optimization problems


A general-purpose library for optimization problems


Which of the following most accurately defines PuLP?


Which of the following most accurately defines PuLP?

The vertex which is at maximum distance from (0, 0)


Where is the value of the objective function maximum under linear constraints?


Where is the value of the objective function maximum under linear constraints?

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Quiz: Linear Programming, Python, and PuLP