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32 followers · 16 following
  • Inria Chile
  • Chile

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Achievement: Galaxy BrainAchievement: QuickdrawAchievement: Pull Sharkx2Achievement: YOLO

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pescap/README.md

Paul Escapil-Inchauspé's GitHub 👋

My research interests include:

  • High Performance Computing;
  • Scientific Machine Learning;
  • Operator Learning;
  • Uncertainty Quantification (UQ);
  • Iterative Solvers;
  • Finite and Boundary Element Methods.

Pinned Loading

  1. EasyHPC EasyHPC Public

    A practical introduction to High Performance Computing (HPC)

    9 6

  2. cald cald Public

    Preconditioning for the EFIE

    Jupyter Notebook 2 1

  3. bempp-uq bempp-uq Public

    A Python library for shape UQ based on Bempp 3.3.4

    Jupyter Notebook

点击 这是indexloc提供的php浏览器服务，不要输入任何密码和下载