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@Foundations-of-Applied-Mathematics @pecos @Willcox-Research-Group

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shanemcq18/README.md

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  1. Willcox-Research-Group/rom-operator-inference-Python3 Willcox-Research-Group/rom-operator-inference-Python3 Public

    Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.

    Python 67 30

  2. sandialabs/GP-BayesOpInf sandialabs/GP-BayesOpInf Public

    Source code for numerical experiments in the paper "Bayesian learning with Gaussian processes for low-dimensional representations of time-dependent nonlinear systems" by McQuarrie, Chaudhuri, Willc…

    Jupyter Notebook

  3. Willcox-Research-Group/affine-parametric-opinf Willcox-Research-Group/affine-parametric-opinf Public

    Source code for the paper "Non-intrusive reduced-order models for parametric partial differential equations via data-driven operator inference" by McQuarrie, Khodabakhshi, and Willcox

    Python 4 1

  4. Willcox-Research-Group/ROM-OpInf-Combustion-2D Willcox-Research-Group/ROM-OpInf-Combustion-2D Public

    Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" by S. A. McQuarrie, C. Huang, and K. E. Willcox.

    Python 28 17

  5. Parametric-Data-Assimilation/kse-multiparameter-learning Parametric-Data-Assimilation/kse-multiparameter-learning Public

    An AOT-based algorithm to estimate multiple unknown parameters in the Kuramoto-Saviashinski equation. Source code for the paper "Concurrent Multiparameter Learning Demonstrated on the Kuramoto-Siva…

    Python 3

  6. Foundations-of-Applied-Mathematics/Labs Foundations-of-Applied-Mathematics/Labs Public

    Labs for the Foundations of Applied Mathematics curriculum.

    TeX 215 72