We've collated many interesting optimization models in our GitHub repository. The focus is on Excel and Python models.

Using the SciPy library, we find an optimal solution to Aryabhata's approximation of trigonometric functions using ratios of quadratic polynomials.

Minimize the number of racks to store all pallets in a warehouse, freeing space for other activities and allowing company growth.

This series of 13 articles compares Python libraries Pyomo, PuLP, OR-Tools, Gekko, CVXPY, and SciPy for building a linear programming model.

Designing an optimization model is difficult. This article explains common mathematical notation used to define optimization model formulations.

We run optimization model cases 10 times faster, fully using the parallel capabilities of the CPU cores/threads in a modern computer.

Given available stock of wire and a list of pieces required, what is the best way to cut the stock to fulfil demand while minimizing waste?

The selection of a better fantasy sports team can substantially improve performance. Excel plus OpenSolver can pick an optimal team.

This article series implements a staff scheduling model in Excel using OpenSolver, then in Python using Pyomo.

We experiment with the new Python in Excel feature, building and solving a linear program using the Python SciPy library.

Job sequencing is a common problem. Excel Solver can help you make optimal job sequencing decisions to minimize cost.

Sometimes we need more power to solve a model. This article describes how to solve a model using the CPLEX solver via the NEOS Server.