Optimization modelling links
We've collated links to dozens of interesting websites that have optimization modelling content. Each link includes a brief description of the website, summarizing their key focus areas.
The links are organized into the following categories:
There are many interesting and informative blogs about optimization modelling. We link to a selection of blogs, written by a wide range of academic and practitioner experts. Topics include: data science, operations management, logistics, and general modelling.
Optimization modelling has many and varied active fields of research, both theoretical and practical. We link to several online magazines that may be of interest to academics and practitioners of data science in general and optimization modelling in particular. Magazines include: Towards Data Science, Quanta, and Analytics.
Excel is used by hundreds of millions of people. It is, by far, the most commonly used tool for a wide range of analysis, including optimization modelling. Here we provide a collection of links to information about using Excel for optimization modelling, including the Solver and OpenSolver add-ins.
The Python programming language is used for a huge variety of data science applications, including optimization modelling. We link to the most commonly-used Python optimization modelling libraries, including: Pyomo, PuLP, OR-Tools, SciPy, and Gekko.
Social media is a great way to connect with like-minded people to discuss whatever topic is of interest. We link to several social media websites where you can seek help, offer help, or just talk about optimization modelling topics. Social media websites include: Stack Exchange, LinkedIn, Discord, and Reddit.
One of our focus areas is optimization modelling using spreadsheets. Given the importance of spreadsheets in almost all forms of data analysis, understanding and applying spreadsheet good practice is vital to success. We link to our sister website iⁿ, which is a hub for information about building good spreadsheets.
Several optimization modelling textbooks are available online. Some are digital versions of hard-copy textbooks, while others are solely in web format. Content varies from focussing on theoretical aspects of optimization mathematics, through to practical applications, and developing models in specific programming languages.