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‎dev/_downloads/02a7a82499cf14d2702c9234035c44c4/plot_diffusion_advection_solver.zip‎

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‎dev/_downloads/07795e165bda9881ff980becb31905ab/plot_diffusion_advection_solver.ipynb‎

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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.13.6"
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"version": "3.13.7"
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}
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‎dev/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip‎

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‎dev/_downloads/09a1631d14c6eb51e552aa53b9f6d3e8/checkpoint_FNO_darcy.ipynb‎

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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.13.6"
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"version": "3.13.7"
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‎dev/_downloads/1bff93ede268f57f2123a573685b3499/plot_darcy_flow_spectrum.zip‎

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‎dev/_downloads/1c2e74cc4f68386faa92c3986ff5e279/plot_embeddings.ipynb‎

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"name": "python",
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"version": "3.13.7"
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‎dev/_downloads/2633fd600aa3ddb27aeba0b93b4a8195/plot_count_flops.zip‎

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‎dev/_downloads/26d61504a6fbb804cf39b2be49357ee6/plot_fourier_diff.py‎

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# Differentiate the signal
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# -----------------------------------------
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# We use the Fourier differentiation function with Fourier continuation to differentiate the signal
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dfdx = fourier_derivative_1d(f, order=1, L=L, use_FC='Legendre', FC_d=4, FC_n_additional_pts=30, FC_one_sided=False)
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df2dx2 = fourier_derivative_1d(f, order=2, L=L, use_FC='Legendre', FC_d=4, FC_n_additional_pts=30, FC_one_sided=False)
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dfdx = fourier_derivative_1d(f, order=1, L=L, use_FC='Legendre', FC_d=4, FC_n_additional_pts=30)
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df2dx2 = fourier_derivative_1d(f, order=2, L=L, use_FC='Legendre', FC_d=4, FC_n_additional_pts=30)
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# %%

‎dev/_downloads/273559202d552ae1f0e540d0854f46bd/plot_burgers_2d_solver.ipynb‎

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"name": "python",
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‎dev/_downloads/2fab6581b297ea852f01cdd602aeb71e/plot_fourier_continuation.py‎

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