Chargement en cours...
APT-MCMC, a C++/Python implementation of Markov Chain Monte Carlo for parameter identification
The inverse problem associated with fitting parameters of an ordinary differential equation (ODE) system to data is nonlinear and multimodal, which is of great challenge to gradient-based optimizers. Markov Chain Monte Carlo (MCMC) techniques provide an alternative approach to solving these problems...
Enregistré dans:
| Publié dans: | Comput Chem Eng |
|---|---|
| Auteurs principaux: | , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
2017
|
| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6698905/ https://ncbi.nlm.nih.gov/pubmed/31427833 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.compchemeng.2017.11.011 |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|