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@@ -9,15 +9,7 @@ Lagrangian Advection
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.. _marching:
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Time Integration
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~~~~~~~~~~~~~~~~~~
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In the numerical computation of the FTLE (Finite-Time Lyapunov Exponent), we first compute the *flow map* :math:`\varphi_{t_n}^{t_{n+1}}(y_n)`, which maps the initial point :math:`y_n` at time :math:`t_n` to time :math:`t_{n+1}`.
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In the numerical computation of the ``FTLE``, we first compute the *flow map* :math:`\varphi_{t_n}^{t_{n+1}}(y_n)`, which maps the initial seed point :math:`y_n` at time :math:`t_n` to time :math:`t_{n+1}`.
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To obtain this map, one must numerically integrate the underlying dynamical system, which is described by the ordinary differential equation (ODE):
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.. math::
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\mathbf{x}(t_n)=\mathbf{x}_n\,,
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where :math:`\sigma = \pm1` selects forward or backward integration.
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During the time integration process, the algorithm frequently queries the flow velocity vector :math:`\bm{v}(\bm{x},t)` at specific locations and moments with very high precision.
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However, since the computational grid is inherently spatially discretized, high-order interpolation methods are required by the program to obtain a physically meaningful flow map.
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Furthermore, when querying the velocity, special wall treatment must be applied at the boundaries to avoid value discontinuities and to represent certain real physical conditions.
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.. _marching:
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Time Integration
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~~~~~~~~~~~~~~~~~~
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**Explicit Euler Method**
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