These are my go-to libraries for Python data crunching.

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Many controlled processes, such as biochemical ones, are repetitive, similar to batch-organized processes. They generate Optimal Control Problems (OCPs) solved by optimal controllers, which often ...

(a) Dense matrices. Variables are often encoded as dense numerical arrays M i,j = M[i,j]. This representation is convenient and well-supported, but also puts a heavy load on the memories of our ...

We describe a new comprehensive and open-source MATLAB library, called the Visual Display Interface (VDI), designed to process, model, quantify and visualize magnetic resonance spectroscopy (MRS) and ...

System identification learns models of dynamical systems from input–output measurements. Estimated models should generalize by predicting system’s output responses to new, previously unseen inputs.

Department of Natural Sciences, Bonn-Rhein-Sieg University of Applied Sciences, von-Liebig-Straße 20, Rheinbach D-53359, Germany ...

Created with R2024a. Compatible with R2024a and later releases. This curriculum module contains interactive MATLAB® live scripts that teach fundamental matrix methods commonly taught in introductory ...