An open source crash course on parameter estimation of computational models using a Bayesian optimization approach

Jupyter Notebook Python Submitted 07 April 2020Published 27 June 2021
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Editor: @magsol (all papers)
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Authors

Mojtaba Barzegari (0000-0002-1456-0610), Liesbet Geris (0000-0002-8180-1445)

Citation

Barzegari et al., (2021). An open source crash course on parameter estimation of computational models using a Bayesian optimization approach. Journal of Open Source Education, 4(40), 89, https://doi.org/10.21105/jose.00089

@article{Barzegari2021, doi = {10.21105/jose.00089}, url = {https://doi.org/10.21105/jose.00089}, year = {2021}, publisher = {The Open Journal}, volume = {4}, number = {40}, pages = {89}, author = {Mojtaba Barzegari and Liesbet Geris}, title = {An open source crash course on parameter estimation of computational models using a Bayesian optimization approach}, journal = {Journal of Open Source Education} }
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inverse problems parameter estimation partial differential equations Bayesian optimization

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ISSN 2577-3569