MDL updating docs and docs_sphinx
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#+TITLE: Finite Difference Schemes for the numerical solution of heterogeneous diffusion equation in 2D
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#+LaTeX_CLASS_OPTIONS: [a4paper,10pt]
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#+LATEX_HEADER: \usepackage{fullpage}
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#+LATEX_HEADER: \usepackage{charter}
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#+LATEX_HEADER: \usepackage{amsmath, systeme, cancel, xcolor}
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#+OPTIONS: toc:nil
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#+TITLE: 2D Validation Examples
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#+TITLE: Validation Examples for 2D Heterogeneous Diffusion
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#+AUTHOR: MDL <delucia@gfz-potsdam.de>
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#+DATE: 2023-07-31
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#+DATE: 2023-08-26
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#+STARTUP: inlineimages
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#+LATEX_CLASS_OPTIONS: [a4paper,9pt]
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#+LATEX_HEADER: \usepackage{fullpage}
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#+LATEX_HEADER: \usepackage{amsmath, systeme}
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#+LATEX_HEADER: \usepackage{graphicx}
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#+LATEX_HEADER: \usepackage{}
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#+LATEX_HEADER: \usepackage{charter}
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#+OPTIONS: toc:nil
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@ -38,7 +38,7 @@ constant in 4 quadrants:
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The relevant part of the R script used to produce these results is
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presented in listing 1; the whole script is at [[file:scripts/HetDiff.R]].
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A visualization of the output of the reference simulation is given in
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figure [[#fig:1][1]].
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figure [[fig:1][1]].
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Note: all results from this script are stored in the =outc= matrix by
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the =deSolve= function. I stored a different version into
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@ -47,6 +47,7 @@ for each time step including initial conditions) and 121 rows, one for
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each domain element, with no headers.
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#+caption: Result of ReacTran/deSolve solution of the above problem at 4
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#+name: fig:1
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[[./images/deSolve_AlphaHet1.png]]
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Welcome to Tug's documentation!
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===============================
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Welcome to the documentation of the TUG project, a simulation program
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for solving one- and two-dimensional diffusion problems with heterogeneous diffusion coefficients, more
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generally, for solving the following differential equation
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for solving transport equations in one- and two-dimensional uniform
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grids using cell centered finite differences.
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Diffusion
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-----------
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TUG can solve diffusion problems with heterogeneous and anisotropic
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diffusion coefficients. The partial differential equation expressing
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diffusion reads:
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.. math::
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\frac{\partial C}{\partial t} = \alpha_x \frac{\partial^2 C}{\partial x^2} + \alpha_y \frac{\partial^2 C}{\partial y^2}.
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\frac{\partial C}{\partial t} = \nabla \cdot \left[ \mathbf{\alpha} \nabla C \right]
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In 2D, the equation reads:
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.. math::
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\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]
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.. toctree::
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:maxdepth: 2
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