MDL updating docs and docs_sphinx

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Marco De Lucia 2023-08-27 13:19:32 +02:00
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#+TITLE: Finite Difference Schemes for the numerical solution of heterogeneous diffusion equation in 2D
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#+TITLE: 2D Validation Examples
#+TITLE: Validation Examples for 2D Heterogeneous Diffusion
#+AUTHOR: MDL <delucia@gfz-potsdam.de>
#+DATE: 2023-07-31
#+DATE: 2023-08-26
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The relevant part of the R script used to produce these results is
presented in listing 1; the whole script is at [[file:scripts/HetDiff.R]].
A visualization of the output of the reference simulation is given in
figure [[#fig:1][1]].
figure [[fig:1][1]].
Note: all results from this script are stored in the =outc= matrix by
the =deSolve= function. I stored a different version into
@ -47,6 +47,7 @@ for each time step including initial conditions) and 121 rows, one for
each domain element, with no headers.
#+caption: Result of ReacTran/deSolve solution of the above problem at 4
#+name: fig:1
[[./images/deSolve_AlphaHet1.png]]

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Welcome to Tug's documentation!
===============================
Welcome to the documentation of the TUG project, a simulation program
for solving one- and two-dimensional diffusion problems with heterogeneous diffusion coefficients, more
generally, for solving the following differential equation
for solving transport equations in one- and two-dimensional uniform
grids using cell centered finite differences.
Diffusion
-----------
TUG can solve diffusion problems with heterogeneous and anisotropic
diffusion coefficients. The partial differential equation expressing
diffusion reads:
.. math::
\frac{\partial C}{\partial t} = \alpha_x \frac{\partial^2 C}{\partial x^2} + \alpha_y \frac{\partial^2 C}{\partial y^2}.
\frac{\partial C}{\partial t} = \nabla \cdot \left[ \mathbf{\alpha} \nabla C \right]
In 2D, the equation reads:
.. math::
\frac{\partial C}{\partial t} = \frac{\partial}{\partial x}\left[ \alpha_x \frac{\partial C}{\partial x}\right] + \frac{\partial}{\partial y}\left[ \alpha_y \frac{\partial C}{\partial y}\right]
.. toctree::
:maxdepth: 2