CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained …

Code reproducing the numerical results in Section 7 of the research article "Harnessing Uncertainty for a Separation Principle in Direct Data-Driven Predictive Control"

Performance Analysis of Model Predictive Control for Uncertain Linear Systems

Material for the book Algorithmic Mathematics in Machine Learning

Modern Time Series Forecasting with Python, published by Packt

Predictor Based Subspace IDentification (PBSID) Toolbox

This is the Julia implementation of the behavioral control DeePC algorithm.

Python library that implements DeePC: Data-Enabled Predictive Control

Data-Driven Predictive Control

A package for computing data-driven approximations to the Koopman operator.

SIMBa

A Python package for linear subspace identification, nonlinear system identification, and nonlinear regression using Jax

Systems Identification Package for PYthon

A Python package for linear subspace identification, nonlinear system identification, and nonlinear regression using Jax

Systems Identification Package for PYthon

SIMBa

Interactive courseware module that introduces typical workflow, setup, and considerations involved in solving regression problems with machine learning.

Virtual lab to study Kalman filter design with interactive exercises

Interactive courseware module that addresses the fundamentals of regression analysis taught in STEM courses.

Interactive courseware module that addresses common foundational-level concepts taught in statistics courses.

An awesome list of helpful resources for students learning MATLAB & Simulink. List includes tips & tricks, tutorials, videos, cheat sheets, and opportunities to learn MATLAB & Simulink.

Repository for computing the probability distribution of an optimal control problem

Software package for Hankel structured low-rank approximation

ScaLAPACK development repository

Distributed Communication-Optimal Matrix-Matrix Multiplication Algorithm

A MATLAB matrix collection with an interface to organize matrices

AMD lab notes with code examples to demonstrate use of AMD GPUs

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

A header-only C++ library for sketching in randomized linear algebra

A high-performance C++ library for randomized numerical linear algebra