Fuzzy number approximation techniques aim to represent complex uncertain quantities in a form that is tractable for analysis and computation. Broadly speaking, original fuzzy numbers may be nonlinear ...

Whole-brain models have proven to be useful to understand the emergence of collective activity among neural populations or brain regions. These models combine connectivity matrices, or connectomes, ...

Much scientific research across a range of disciplines tries to find linear approximations of nonlinear behaviors. But what does that mean? Spend some time browsing around the web site of MIT’s ...

Learn how nonlinear and linear regression models differ, predict variables, and their applications in data analysis for ...

Roughly, we will cover the following topics (some of them may be skipped depending on the time available). Linear Programming: Basics, Simplex Algorithm, and Duality. Applications of Linear ...