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Update 6_inputdeck.rst
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@@ -47,13 +47,13 @@ Numerical Methods
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| | | (``1``) | Compute in both side (both repelling and attracting structures). |
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| ``wall_treatment``| Wall-treatment strategy | (``clamp``) | |
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| ``wall_treatment``| Wall-treatment strategy | (``clamp``) | Out-of-bounds points take nearest velocity. Applicable to subdomains from larger ones. |
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| | | ``dirichlet`` | |
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| | | ``dirichlet`` | Simple and fast BC treatment, zeroing the boundary values. Introduces artifical shear. |
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| | | ``reflect`` | |
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| | | ``reflect`` | Reflect the particles back to the computational domain. Likely a non-shear wall BC. |
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| | | ``periodic`` | |
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| | | ``periodic`` | Wrap around to the opposite side. Applicable to fully-developed subdomains and periodic flows. |
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| ``advc_method`` | Lagrangian advection scheme | (``Euler``) | Simple and fast Euler stepping with :math:`O(h^1)` error. |
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| ``interp_method`` | Interpolation method for velocity fields | ``trilinear`` | Simple and fast triliear interpolation method. Very fast on GPUs. |
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| | | (``tricubic``) | Catmull–Rom 3D convolution kernel. |
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| | | (``tricubic``) | Catmull–Rom 3D convolution kernel for tricubic interpolation. |
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| | | ``hermite`` | |
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@@ -87,8 +87,8 @@ Numerical Methods
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As for your reference, and configured as defaults, the *Berkeley LCS Tutorials* used ``RK4`` for advection.
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The velocity fields were interpolated by ``tricubic-FL``, originating from [Lekien2005]_, which has higher performance from
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Although non detailed, ``grad_order=2`` was employed by them from the equation, supposing the mesh is sufficiently refined.
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The velocity fields were interpolated by ``tricubic-FL``, originating from [Lekien2005]_, which has higher performance by solving a 64*64 linear system using the function values, gradients, and mixed partial derivatives at its eight corners, which is in future plan for ``Py3DFTLE`` with high priority.
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Although not detailed, ``grad_order=2`` was employed by them from the equation, supposing the mesh is sufficiently refined.
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Please always notice that, although providing much better numerical precision and looks cool in papers, high-order methods could be resource-consuming, even hundreds of times.
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Dynamic LCS Window

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