Download Python code from GitHub https://github.com/Algopaul/greedy_quadratic_manifolds.
References:
[1] | Greedy construction of quadratic manifolds for nonlinear dimensionality reduction and nonlinear model reduction. arXiv, 2403.06732, 2024. [ Abstract] [BibTeX] |
Download Python code from GitHub https://github.com/Algopaul/ng_embeddings/blob/main/embedded_ng.ipynb.
References:
Download Python code from GitHub https://github.com/pehersto/ng.
References:
[1] | Neural Galerkin Scheme with Active Learning for High-Dimensional Evolution Equations. Journal of Computational Physics, 2023. [ Abstract] [BibTeX] |
Download Matlab code on GitHub https://github.com/terrencealsup/MLSVGD.
References:
[1] | Multilevel Stein variational gradient descent with applications to Bayesian inverse problems. In Mathematical and Scientific Machine Learning (MSML) 2021, 2021. [ Abstract] [BibTeX] |
Download Matlab code on GitHub https://github.com/pehersto/odeim.
References:
[1] | Stability of discrete empirical interpolation and gappy proper orthogonal decomposition with randomized and deterministic sampling points. SIAM Journal on Scientific Computing, 42:A2837-A2864, 2020. [ Abstract] [BibTeX] |
Download from Elizabeth's GitHub page https://github.com/elizqian/operator-inference.
References:
[1] | Data-driven operator inference for nonintrusive projection-based model reduction. Computer Methods in Applied Mechanics and Engineering, 306:196-215, 2016. [ Abstract] [BibTeX] |
[2] | Transform & Learn: A data-driven approach to nonlinear model reduction. In AIAA Aviation 2019 Forum, AIAA, 2019. [ BibTeX] |
Download from GitHub https://github.com/pehersto/mfmc.
References:
[1] | Optimal model management for multifidelity Monte Carlo estimation. SIAM Journal on Scientific Computing, 38(5):A3163-A3194, 2016. [ Abstract] [BibTeX] |
Download from GitHub https://github.com/pehersto/adeim.
References:
[1] | Online Adaptive Model Reduction for Nonlinear Systems via Low-Rank Updates. SIAM Journal on Scientific Computing, 37(4):A2123-A2150, 2015. [ Abstract] [BibTeX] |