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Reduced-Order-Modeling-Tutorials
Reduced-Order-Modeling-Tutorials PublicA collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Easily runnable on Google Colab.
Jupyter Notebook 16
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2022_Tanaka_HamiltonianGP_NoisySparseData
2022_Tanaka_HamiltonianGP_NoisySparseData PublicThis repository implements the 2022 paper 'Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data' by Tanaka et al.
Python 1
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PDEsNumericalMethods
PDEsNumericalMethods PublicInteractive Jupyter notebooks for solving PDEs using numerical methods. Features tutorials on the heat and wave equations with the Newton-Raphson method. Ideal for learning and teaching applied mat…
Jupyter Notebook
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