Matlab (R) library for model learning and model reduction. The main methods and algorithms implemented in the library have been introduced in the papers [1,2], wherein they are derived and documented.
For information about the installation and usage of the library, check out the documentation.
[1] F. Regazzoni, L. Dede', A. Quarteroni Machine learning for fast and reliable solution of time-dependent differential equations, Journal of Computational Physics (2019).
[2] F. Regazzoni, D. Chapelle, P. Moireau Combining Data Assimilation and Machine Learning to build data‐driven models for unknown long time dynamics - Applications in cardiovascular modeling, International Journal for Numerical Methods in Biomedical Engineering (2021).
Francesco Regazzoni, MOX - Politecnico di Milano (francesco.regazzoni@polimi.it)
- Luca Dede', for having provided the code of the
lbfgs.moptimization function. - Primoz Cermelj, for the
inifile.mutility.