Linear programming finds applications in many industries.Ĭheck out our data science online courses to upskill yourself Basics of Linear Programming The real relationship between two points can be highly complex, but we can use linear programming to depict them with simplicity. Our aim with linear programming is to find the most suitable solutions for those functions. Linear programming is a method of depicting complex relationships by using linear functions. Let’s get started: What is Linear Programming? Such problems are called linear programming problems and we’ll discuss them in detail. You can also buy a combination of the two. Similarly, you might choose to only buy apples and make INR 1500 as profit. You might choose to only buy oranges but then, you’d only have 10 bags in your storage and your profit would be INR 1000. You can make INR 100 from the sale of one bag of oranges and INR 200 from the sale of one bag of apples. Now one bag of oranges costs you INR 500 while a bag of apples costs you INR 750. Now, you have to buy them in the way that yields you the highest profit. However you only have a budget of INR 5,000 and you can only store 30 bags of them. Suppose you’re a fruit seller who can either buy oranges or apples or a certain combination of them both. In this article, we’ve discussed what they are and how you can work on them. While going through them, you’ll find a specific category called linear programming problems. There are all sorts of optimization problems available, some are small, some are highly complicated. Optimization focuses on getting the most desired results with the limited resources you have. We all tend to focus on optimizing stuff. Data science has many applications, one of the most prominent among them is optimization.
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