This repo contains linear programming examples of production scheduling and distribution using Excel and Python. These activities are largely from a Udemy course on Data Science and Supply Chain ...

Capture relationships between data sets by graphing linear equations in Microsoft Excel 2007. Linear equations allow you to predict values within your data set and view the overall trend. Use ...

As the title suggests, I have a problem in which I need to formulate an LP model. I'm supposed to work in Excel and use the Solver Add-in feature.<BR><BR>I've done several other problems already, but ...

In this project, the aim was to develop a predictive model using linear regression to estimate the amount of tips that would be received in a restaurant setting. By analyzing various factors such as ...

Abstract: The linear programming is very effective method for the decision-making problems. However, the solution process is very difficult and the corresponding professional softwares are not ...

Abstract: Compressed sensing helps in the reconstruction of sparse or compressible signals from small number of measurements. The sparse representation has great importance in modern signal processing ...