But before going to the Python library, let us get a sense of the kind of problem we can solve with it.Suppose you are in charge of the diet plan for high school lunch.This software is written in Java SE, last modified on October 2011.Tags: Hunchback AssignmentsLeaving Cert English + Essay Writing TipsWhat Is Duhem Holism ThesisAutomobile Dealership Business PlanStrange Meeting - CourseworkThe Best American Essays 2010Law School Essays Abuse
There are many libraries in the Python ecosystem for this kind of optimization problems.
Pu LP is an open-source linear programming (LP) package which largely uses Python syntax and comes packaged with many industry-standard solvers.
There is a long and rich history of the theoretical development of robust and efficient solvers for optimization problems.
However, focusing on practical applications, we will skip that history and move straight to the part of learning how to use programmatic tools to formulate and solve such optimization problems.
Instead of nutritional values, you will have profits and other types of business yields, and in place of price/serving, you may have project costs in thousands of dollars.
As a manager, your job will be to choose the projects, that give maximum return on investment without exceeding a total budget of funding the project.
Your job is to make sure that the students get the right balance of nutrition from the chosen food.
However, there are some restrictions in terms of budget and the variety of food that needs to be in the diet to make it interesting.
Linear and (mixed) integer programming are techniques to solve problems which can be formulated within the framework of discrete optimization.
Knowledge of such optimization techniques is extremely useful for data scientists and machine learning (ML) practitioners as discrete and continuous optimization lie at the heart of modern ML and AI systems as well as data-driven business analytics processes.