Software
SUMO Lab has developed (or contributed to) software tools for efficient and accurate modeling, simulation, and optimization of complex physical systems, with applications in different fields of science and engineering, such as electronics, photonics, mechanics, physics, automotive, aviation, etc.
Our software has been successfully used by academic and business partners worldwide.
- Surrogate modeling
SUrrogate MOdeling (SUMO)
Matlab Surrogate Modeling Toolbox
ooDACE
Matlab Kriging Toolbox
Trieste
Python toolbox for Bayesian optimization
- Macromodeling
Fast, Relaxed Vector Fitting (VF3)
Matlab code (vectfit3) for Rational macromodeling
Complex Vector Fitting (CVF)
Matlab code for Rational macromodeling
- Active learning
Sequential Experimental Design (SED)
Matlab Sequential Experimental Design Toolbox
ALBATROS
Adaptive Line-Based Sampling Trajectories for Sequential Measurements
- Datasets
Radar
Activity and event recognition using compact radar devices