Logiciel Année : 2019

Software PLoM (Probabilistic Learning on Manifolds) with physics constraints 2019_02_07

Résumé

Softwares PLoM (Probabilistic Learning on Manifolds) with Physics Constraints Source in Matlab2018a This software allows for reproducing the results of Application (AP1) of the article: "C. Soize, R. Ghanem, Physics-constrained non-Gaussian probabilistic learning on manifolds, International Journal for Numerical Methods in Engineering, doi: 10.1002/nme.6202, 121 (1), 110-145 (2020)".

DOI

Cite 10.1002/nme.6202 Autre Soize, C., & Ghanem, R. (2019). Physics‐constrained non‐Gaussian probabilistic learning on manifolds. International Journal for Numerical Methods in Engineering, 121(1), 110–145. https://doi.org/10.1002/nme.6202

HAL

Cite hal-02341991 Article Christian Soize, Roger Ghanem. Physics‐constrained non‐Gaussian probabilistic learning on manifolds. International Journal for Numerical Methods in Engineering, 2020, 121 (1), pp.110-145. ⟨10.1002/nme.6202⟩. ⟨hal-02341991⟩

DOI

Cite 10.1002/nme.6202 Autre Soize, C., & Ghanem, R. (2019). Physics‐constrained non‐Gaussian probabilistic learning on manifolds. International Journal for Numerical Methods in Engineering, 121(1), 110–145. https://doi.org/10.1002/nme.6202

HAL

Cite hal-02341991 Article Christian Soize, Roger Ghanem. Physics‐constrained non‐Gaussian probabilistic learning on manifolds. International Journal for Numerical Methods in Engineering, 2020, 121 (1), pp.110-145. ⟨10.1002/nme.6202⟩. ⟨hal-02341991⟩

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