hIPPYlib: An Extensible Software Framework for Large-Scale Inverse Problems

Python C++ Jupyter Notebook Submitted 27 August 2018Published 23 October 2018
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Editor: @lheagy (all papers)
Reviewers: @IgorBaratta (all reviews), @boehmc (all reviews)

Authors

Umberto Villa, Noemi Petra, Omar Ghattas

Citation

Villa et al., (2018). hIPPYlib: An Extensible Software Framework for Large-Scale Inverse Problems. Journal of Open Source Software, 3(30), 940, https://doi.org/10.21105/joss.00940

@article{Villa2018, doi = {10.21105/joss.00940}, url = {https://doi.org/10.21105/joss.00940}, year = {2018}, publisher = {The Open Journal}, volume = {3}, number = {30}, pages = {940}, author = {Umberto Villa and Noemi Petra and Omar Ghattas}, title = {hIPPYlib: An Extensible Software Framework for Large-Scale Inverse Problems}, journal = {Journal of Open Source Software} }
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Infinite-dimensional inverse problems adjoint-based methods numerical optimization Bayesian inference uncertainty quantification PDE toolkit

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ISSN 2475-9066