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Update 6_inputdeck.rst
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@@ -65,12 +65,14 @@ Numerical Methods
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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``) | |
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| | | (``tricubic``) | Catmull–Rom 3D convolution kernel. |
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| | | ``hermite`` | |
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| | | ``WENO`` | Weighted Essentially Non-Oscillatory (WENO) scheme with shockwave capture capability. |
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| | | (``tricubic-FL``) | ``I.P.`` The high-performance 3D tricubic interpolation method by [Lekien2005]_. |
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| ``grad_order`` | The method (order) of gradient discretization | (``2``) | 2nd-order central difference. |
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| | | ``4`` | ``I.P.`` 4th-order central difference. |
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| | | ``100`` | ``I.P.`` Global Fast Fourier Transform (FFT) with finite order. Compute extremely intensive! |
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| ``Eigen_method`` | Solver for max eigenvalue of Cauchy–Green tensor | ``eigmax_sym3`` | Closed-form cubic eigenvalue solver for symmetric 3×3 matrices (noniterative solver). |
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| ``eigen_method`` | Solver for max eigenvalue of Cauchy–Green tensor | ``eigmax_sym3`` | Closed-form cubic eigenvalue solver for symmetric 3×3 matrices (noniterative solver). |
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| | | ``jacobi`` | ``I.P.`` Jacobi eigenvalue algorithm (iterative). |
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As for your reference, and configured as defaults, the *Berkeley LCS Tutorials* used ``RK4`` for advection, interpolated by ``tricubic``. Although non detailed, ``grad_order=2`` was employed by them from the equation, supposing the mesh is sufficiently refined.
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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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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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