Improving PyDDA's atmospheric wind retrievals using automatic differentiation and Augmented Lagrangian methods - researchr publication authors

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Robert Jackson, Rebecca Gjini, Sri Hari Krishna Narayanan, Matt Menickelly, Paul D. Hovland, Jan Hückelheim, Scott M. Collis. Improving PyDDA's atmospheric wind retrievals using automatic differentiation and Augmented Lagrangian methods. In Meghann Agarwal, Chris Calloway, Dillon Niederhut, David Shupe, editors, Proceedings of the 21st Python in Science Conference 2022, SciPy 2022, Austin, Texas, July 11 - July 17, 2022. pages 210-216, scipy.org, 2022. [doi]

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