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
Matlab Kriging Toolbox
Python toolbox for Bayesian optimization
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
Adaptive Line-Based Sampling Trajectories for Sequential Measurements