diff --git a/doc/handbook/0_dumux-handbook.tex b/doc/handbook/0_dumux-handbook.tex
index cac88ce86d211841b298492669cc3a29b6cb7284..ab0ab1497653b6b66ab0ea6aa7a79c0a714823b2 100644
--- a/doc/handbook/0_dumux-handbook.tex
+++ b/doc/handbook/0_dumux-handbook.tex
@@ -40,7 +40,7 @@
 % Dune and Dumux logo
 \newcommand{\Dune}{{DUNE}\xspace}
 \newcommand{\Dumux}{\texorpdfstring{Du\-Mu$^\text{x}$\xspace}{DuMuX\xspace}}
-\newcommand{\DumuxVersion}{2.11}
+\newcommand{\DumuxVersion}{next-Alpha}
 \definecolor{dumuxYellow}{HTML}{E19417}
 \definecolor{dumuxBlue}{HTML}{0C73CF}
 
@@ -117,8 +117,6 @@ Then we provide a quick start guide for the first \Dumux experience.
 
 \chapter{Tutorial}\label{chp:tutorial}
 \input{3_tutorial}
-\input{3_tutorialimplicit}
-\input{3_tutorialsequential}
 \input{3_furtherpractice}
 
 \chapter{Overview and Infrastructure}
diff --git a/doc/handbook/3_tutorial.tex b/doc/handbook/3_tutorial.tex
index e6a6fecffa3251ab1fea28366757d8ce1d2942b0..adf66d5563b3b5715c100348daae6cdde72428c5 100644
--- a/doc/handbook/3_tutorial.tex
+++ b/doc/handbook/3_tutorial.tex
@@ -1,17 +1 @@
-In \Dumux two sorts of models are implemented: implicit models and
-sequential models. In the implicit models a flow system is described by a
-system of strongly coupled equations, which can be for example mass balance
-equations for phases, mass balance equations for components or energy balance
-equations. In contrast, a sequential model consists of a pressure equation, which
-is iteratively coupled to a saturation equation, concentration equations, energy
-balance equations, etc.
-
-Examples for different kinds of both, implicit and sequential models, are
-isothermal two-phase models, isothermal two-phase two-component models,
-non-isothermal two-phase models, and non-isothermal two-phase two-component
-models.
-
-The following two sections demonstrate solving problems using an implicit
-model \ref{tutorial-implicit} and a sequential model \ref{tutorial-sequential}.
-An isothermal two-phase system (two fluid phases, one solid phase) will be
-considered.
+Decription of new tutorial is going to come soon!
diff --git a/doc/handbook/3_tutorialimplicit.tex b/doc/handbook/3_tutorialimplicit.tex
deleted file mode 100644
index f908bceec97881751f9a8f23ec3efc04ada86a40..0000000000000000000000000000000000000000
--- a/doc/handbook/3_tutorialimplicit.tex
+++ /dev/null
@@ -1,716 +0,0 @@
-\section[Fully-Implicit Model]{Solving a Problem Using a Fully-Implicit Model}
-\label{tutorial-implicit}
-
-The process of setting up a problem using \Dumux can be roughly divided into four parts:
-\begin{enumerate}
- \item A suitable model has to be chosen.
- \item The geometry of the problem and correspondingly a grid have to be defined.
- \item Material properties and constitutive relationships have to be selected.
- \item Boundary conditions and initial conditions have to be specified.
-\end{enumerate}
-
-The problem being solved in this tutorial is illustrated in Figure \ref{tutorial-implicit:problemfigure}.
-A rectangular domain with no-flow boundaries on the top and on the bottom, which is initially saturated with oil, is considered.
-Water infiltrates from the left side into the domain and replaces the oil. Gravity effects are neglected here.
-
-\begin{figure}[ht]
-\centering
-\begin{tikzpicture}[>=latex]
-  % basic sketch
-  \fill [fill=dumuxBlue](0,0) rectangle ++(2,1.5);
-  \fill [fill=dumuxYellow](2,0) rectangle ++(5,1.5);
-  \draw (0,0) rectangle ++(7,1.5);
-  \foreach \x in {0,0.25,...,6.75}
-    \draw (\x,1.5) -- ++(0.25,0.25);
-  \foreach \x in {0,0.25,...,6.75}
-    \draw (\x,-0.25) -- ++(0.25,0.25);
-  % labels
-  \draw [->](-0.5,-0.5) -- ++(0,0.7) node [anchor=east]{$y$};
-  \draw [->](-0.5,-0.5) -- ++(0.7,0) node [anchor=north]{$x$};
-  \node at(3.5,1.75)[anchor=south]{no flow};
-  \node at(3.5,-0.25)[anchor=north]{no flow};
-  \draw[->,thick](-0.4,0.75) -- ++(0.9,0) node[anchor=north]{water};
-  \draw[->,thick](6.5,0.75)node[anchor=north]{oil} -- ++(0.9,0);
-  % equations
-  \node [anchor=west] at (2,1.1){$p_{w_\text{initial}} = \unit[2 \cdot 10^5]{Pa}$};
-  \node [anchor=west] at (2,0.4){$S_{n_\text{initial}} = 1$};
-  \node [anchor=west] at (-3,1.1){$p_w = \unit[2 \cdot 10^5]{Pa}$};
-  \node [anchor=west] at (-3,0.4){$S_n = 0$};
-  \node [anchor=west] at (7.5,1.1){$q_w = \unitfrac[0]{kg}{m^2s}$};
-  \node [anchor=west] at (7.5,0.4){$q_n = \unitfrac[3 \cdot 10^{-2}] {kg}{m^2s}$};
-\end{tikzpicture}
-\caption{Geometry of the tutorial problem with initial and boundary conditions.}
-\label{tutorial-implicit:problemfigure}
-\end{figure}
-
-The solved equations are the mass balances of water and oil:
-\begin{align}
-  \label{massbalancewater}
-  \frac {\partial (\phi \, S_{w}\, \varrho_{w})}{\partial t}
-  -
-  \nabla \cdot \left( \varrho_{w} \, \frac{k_{rw}}{\mu_{w}} \, \mathbf{K}\;\nabla p_w \right)
-  -
-  q_w
-  & =
-  0 \\
-  \label{massbalanceoil}
-  \frac {\partial (\phi \, S_{o}\, \varrho_{o})}{\partial t}
-  -
-  \nabla \cdot \left( \varrho_{o} \, \frac{k_{ro}}{\mu_{o}} \, \mathbf{K}\;\nabla p_o \right)
-  -
-  q_o
-  & =
-  0
-\end{align}
-
-\subsection{The Main File}
-Listing \ref{tutorial-implicit:mainfile} shows the main application file
-\texttt{tutorial/tutorial\_implicit.cc} for the implicit two-phase
-model. This file has to be compiled and executed in order to solve the problem described
-above.
-
-\begin{lst}[File tutorial/tutorial\_implicit.cc]\label{tutorial-implicit:mainfile} \mbox{}
-  \lstinputlisting[style=DumuxCode, numbersep=5pt, firstline=24, firstnumber=24]{../../tutorial/tutorial_implicit.cc}
-\end{lst}
-
-From line \ref{tutorial-implicit:include-begin} to line
-\ref{tutorial-implicit:include-end} the required headers are included.
-
-At line \ref{tutorial-implicit:set-type-tag} the type tag of the
-problem, which is going to be simulated, is specified. All other data
-types can be retrieved via the \Dumux property system and only depend
-on this single type tag. For a more thorough introduction to the
-\Dumux property system, see chapter~\ref{sec:propertysystem}.
-
-After this, the default startup routine \texttt{Dumux::start()} is
-called on line \ref{tutorial-implicit:call-start}. This function deals
-with parsing the command line arguments, reading the parameter file,
-setting up the infrastructure necessary for \Dune, loading the grid, and
-starting the simulation.
-Required parameters for the start of the simulation,
-such as the initial time-step size, the simulation time or details of the grid,
-can be either specified by command line arguments of the form
-(\texttt{-ParameterName ParameterValue}), in the file specified by the
-\texttt{-ParameterFile} argument, or if the latter is not specified,
-in the file \mbox{\texttt{tutorial\_implicit.input}}.
-If a parameter is
-specified on the command line as well as in the parameter file, the
-values provided in the command line have
-precedence. Listing~\ref{tutorial-implicit:parameter-file} shows the
-default parameter file for the tutorial problem.
-
-\begin{lst}[File tutorial/tutorial\_implicit.input]\label{tutorial-implicit:parameter-file} \mbox{}
-\lstinputlisting[style=DumuxParameterFile]{../../tutorial/tutorial_implicit.input}
-\end{lst}
-
-To provide an error message, the usage message which is displayed to
-the user if the simulation is called incorrectly, is printed via the
-custom function which is defined on
-line~\ref{tutorial-implicit:usage-function} in the main file.
-In this function the usage message is customized to the problem at hand.
-This means that at least the necessary parameters are listed here.
-
-\subsection{The Problem Class}
-\label{tutorial-implicit:problem}
-When solving a problem using \Dumux, the most important file is the
-so-called \textit{problem file} as shown in
-listing~\ref{tutorial-implicit:problemfile}.
-
-\begin{lst}[File tutorial/tutorialproblem\_implicit.hh]\label{tutorial-implicit:problemfile} \mbox{}
-\lstinputlisting[style=DumuxCode, numbersep=5pt, firstline=24, firstnumber=24]{../../tutorial/tutorialproblem_implicit.hh}
-\end{lst}
-
-First, a new type tag is created for the problem in line
-\ref{tutorial-implicit:create-type-tag}.  In this case, the new type
-tag inherits all properties from the \texttt{BoxTwoP} type tag, which
-means that for this problem the two-phase box model is chosen as
-discretization scheme. Further, it inherits from the spatial
-parameters type tag, which is defined in line
-\ref{tutorial-implicit:define-spatialparameters-typetag} of the problem-dependent spatial
-parameters file.  On line
-\ref{tutorial-implicit:set-problem}, a problem class is attached to the
-new type tag, while the grid which is going to be used is defined in
-line \ref{tutorial-implicit:set-grid} -- in this case that is
-\texttt{Dune::YaspGrid}.  Since there's no uniform mechanism to
-allocate grids in \Dune, \Dumux features the concept of grid creators.
-In this case the generic \texttt{CubeGridCreator} which creates a
-structured hexahedron grid of a specified size and resolution. For
-this grid creator the  physical domain of the grid is specified via the
-run-time parameters \texttt{Grid.UpperRight} and
-\texttt{Grid.Cells}. These parameters can be specified via
-the command-line or in a parameter file.
-
-Next, the appropriate fluid system, which specifies the thermodynamic
-relations of the fluid phases, has to be chosen. By default, the
-two-phase model uses the \texttt{TwoPImmiscibleFluidSystem}, which
-assumes immiscibility of the phases, but requires the components
-used for the wetting and non-wetting phases to be explicitly set. In
-this case, liquid water which uses the relations from
-IAPWS'97~\cite{IAPWS-HP} is chosen as the wetting phase on line
-\ref{tutorial-implicit:wettingPhase} and liquid oil is chosen as the
-non-wetting phase on line \ref{tutorial-implicit:nonwettingPhase}. The
-last property, which is set in line \ref{tutorial-implicit:gravity},
-tells the model not to use gravity.
-
-\label{tutorial-implicit:boundaryStart}Parameters which are specific to a physical set-up to be simulated,
-such as boundary and initial conditions, source terms or temperature
-within the domain, and which are required to solve the differential
-equations of the models are specified via a \textit{problem} class. This class
-should be derived from \texttt{ImplicitPorousMediaProblem} as done in line
-\ref{tutorial-implicit:def-problem}.
-
-The problem class always has at least five methods:
-\begin{itemize}
-\item A method \texttt{boundaryTypes()} specifying the type of
-  boundary conditions at each vertex.
-\item A method \texttt{dirichlet()} specifying the actual values for
-  the \textsc{Dirichlet} conditions at each \textsc{Dirichlet} vertex.
-\item A method \texttt{neumann()} specifying the actual values for
-  the \textsc{Neumann} conditions, which are usually evaluated at the
-  integration points of the \textsc{Neumann} boundary faces.
-\item A method for source or sink terms called \texttt{source()}, usually evaluated at
-  the center of a control volume.
-\item A method called \texttt{initial()} for specifying the initial
-  conditions at each vertex.
-\end{itemize}
-
-For the definition of the boundary condition types and of the
-values of the \textsc{Dirichlet} boundaries, two parameters are
-available:
-\begin{description}
- \item [bcTypes/values:]  A vector which stores the result of the method. What
-  the values in this vector mean is dependent on the method: For
-  \texttt{dirichlet()}, \texttt{values} contains the actual values of the primary
-  variables, for \texttt{boundaryTypes()}, \texttt{bcTypes} contains the boundary
-  condition types. It has as many entries as the model has primary variables / equations.
-  For the typical case, in which all equations have the same boundary
-  condition type at a certain position, there are two methods that set the appropriate conditions
-  for all primary variables / equations: \texttt{setAllDirichlet()} and \texttt{setAllNeumann()}.
-\item [vertex:] The boundary condition and the Dirichlet values are
-  specified for a vertex, which represents a sub-control volume in the box
-  discretization. This inhibits the specification of two different
-  boundary condition types for one equation at one sub-control
-  volume.  Be aware that the second parameter is a Dune grid entity
-  with the co-dimension \texttt{dim}.
-\end{description}
-
-To ensure that no boundaries are undefined, a small safeguard value
-\texttt{eps\_} is usually added when comparing spatial
-coordinates. The left boundary is hence not detected by checking, if the
-first coordinate of the global position is equal to zero, but by testing whether it is
-smaller than a very small value \texttt{eps\_}.
-
-Methods for box models which make statements about boundary segments of the grid
-(such as \texttt{neumann()}) are called with six arguments:
-\begin{description}
-\item[values:] A vector \texttt{neumann()}, in which the mass fluxes per area unit
-  over the boundary segment are specified.
-\item[element:] The element of the grid where the boundary segment
-  is located.
-\item[fvGeometry:] The finite-volume geometry induced on the
-  finite element by the box scheme.
-\item[intersection:] The \texttt{Intersection} of the boundary segment as given by the grid.
-\item[scvIdx:] The index of the sub-control volume in
-  \texttt{fvGeometry} which is assigned to the boundary segment.
-\item[boundaryFaceIdx:] The index of the boundary face in
-  \texttt{fvGeometry} which represents the boundary segment.
-\end{description}
-
-Similarly, the \texttt{initial()} and \texttt{source()} methods
-specify properties of control volumes and thus only get
-\texttt{values}, \texttt{element}, \texttt{fvGeometry} and
-\texttt{scvIdx} as arguments.
-
-In addition to these five methods, there might be some model-specific
-methods. If the isothermal two-phase model is used, this includes for
-example a \texttt{temperature()} method which returns the temperature
-in \textsc{Kelvin} of the fluids and the rock matrix in the
-domain. This temperature is then used by the model to calculate fluid
-properties which possibly depend on it, e.g. density. The
-\texttt{bBoxMax()} (``\textit{max}imum coordinated of the grid's
-\textit{b}ounding \textit{box}'') method is used here to
-determine the extend of the physical domain. It returns a vector with the
-maximum values of each global coordinate of the grid. This method
-and the analogous \texttt{bBoxMin()} method are provided by the base
-class \texttt{Dumux::BoxProblem<TypeTag>}.
-
-\subsection{Defining Fluid Properties}
-\label{tutorial-implicit:description-fluid-class}
-The \Dumux distribution includes some common substances which can be
-used out of the box. The properties of the pure substances (such as
-the components nitrogen, water, or the pseudo-component air) are
-provided by header files located in the folder
-\verb+dumux/material/components+.
-
-Most often, when two or more components are considered, fluid
-interactions such as solubility effects come into play and properties
-of mixtures such as density or enthalpy are of interest. These
-interactions are defined by {\em fluid systems}, which are located in
-\verb+dumux/material/fluidsystems+. A more thorough overview of the
-\Dumux fluid framework can be found 
-at \url{http://www.dumux.org/doxygen-stable/html-\DumuxVersion/modules.php}
-%in chapter~\ref{sec:fluidframework}.
-
-% In this example, a class for the definition of a two-phase system is used. This allows for the choice
-% of the two components oil and water and for access of the parameters that are relevant for the two-phase model.
-
-\subsection{Defining Spatially Dependent Parameters}
-\label{tutorial-implicit:description-spatialParameters}
-In \Dumux, many properties of the porous medium can depend on the
-spatial location. Such properties are the \textit{intrinsic
-  permeability}, the parameters of the \textit{capillary pressure} and
-the \textit{relative permeability}, the \textit{porosity}, the
-\textit{heat capacity} as well as the \textit{heat conductivity}. Such
-parameters are defined using a so-called \textit{spatial parameters}
-class.
-
-If the box discretization is used, the spatial parameters class
-should be derived from the base class
-\texttt{Dumux::BoxSpatialParams<TypeTag>}. Listing
-\ref{tutorial-implicit:spatialparametersfile} shows the file \\
-\verb+tutorialspatialparams_implicit.hh+:
-
-\begin{lst}[File tutorial/tutorialspatialparams\_implicit.hh]\label{tutorial-implicit:spatialparametersfile} \mbox{}
-\lstinputlisting[style=DumuxCode, numbersep=5pt, firstline=25, firstnumber=25]{../../tutorial/tutorialspatialparams_implicit.hh}
-\end{lst}
-
-First, the spatial parameters type tag is created on line
-\ref{tutorial-implicit:define-spatialparameters-typetag}. The type tag
-for the problem is then derived from it. The \Dumux properties defined on
-the type tag for the spatial parameters are, for example, the spatial
-parameters class itself (line
-\ref{tutorial-implicit:set-spatialparameters}) or the capillary
-pressure/relative permeability relations\footnote{Taken together, the
-  capillary pressure and the relative permeability relations are
-  called \textit{material law}.} which ought to be used by the
-simulation (line
-\ref{tutorial-implicit:rawlaw} \label{tutorial-implicit:materialLaw}).
-\Dumux provides several material laws in the folder
-\verb+dumux/material/fluidmatrixinteractions+.  The selected one --
-here it is a relation according to a regularized version of
-\textsc{Brooks} \& \textsc{Corey} -- is included in line
-\ref{tutorial-implicit:rawLawInclude}.
-After the selection, an adapter class is specified in line \ref{tutorial-implicit:eff2abs} to
-translate between effective and absolute saturations. Like this,
-residual saturations can be specified in a generic way.  As only the employed
-material law knows the names of the parameters which it
-requires, it provides a parameter class
-\texttt{RegularizedBrooksCoreyParams} which has the type
-\texttt{Params} and which is defined in line
-\ref{tutorial-implicit:matLawObjectType}. In this case, the spatial
-parameters only require a single set of parameters which means that it
-only requires a single material parameter object as can be seen in
-line~\ref{tutorial-implicit:matParamsObject}.
-
-In line \ref{tutorial-implicit:permeability}, a method returning the
-intrinsic permeability is specified. As can be seen, the method has
-to be called with three arguments:
-\begin{description}
-\item[\texttt{element}:] Just like for the problem itself, this
-  parameter describes the considered element by means of a \Dune
-  entity. Elements provide information about their geometry and
-  position and can be mapped to a global index.
-\item[\texttt{fvGeometry}:] It holds information about the finite-volume
-  geometry of the element induced by the box method.
-\item[\texttt{scvIdx}:] This is the index of the sub-control volume of the
-  element which is considered. It is equivalent to the local index
-  of the vertex which corresponds to the considered control volume in
-  the element.
-\end{description}
-
-The intrinsic permeability is usually a tensor. Thus the method returns
-a $\texttt{dim} \times \texttt{dim}$-matrix, where \texttt{dim} is the
-dimension of the grid.
-
-The method \texttt{porosity()} defined in line
-\ref{tutorial-implicit:porosity} is called with the same arguments as
-\texttt{intrinsicPermeability()} and returns a scalar value for
-porosity dependent on the position in the domain.
-
-Next, the method \texttt{materialLawParams()}, defined in line
-\ref{tutorial-implicit:matLawParams}, returns the
-\verb+materialParams_+ object that is applied at the specified
-position. Although in this case only one object is returned, in
-general, the problem may be heterogeneous, which necessitates
-returning different objects at different positions in space.  While
-the selection of the type of this object was already explained (line
-\ref{tutorial-implicit:rawLawInclude}), some specific parameter values
-of the used material law, such as the \textsc{Brooks} \&
-\textsc{Corey} parameters, are still needed. This is done in the
-constructor at line \ref{tutorial-implicit:setLawParams}.  Depending on
-the type of the \texttt{materialLaw} object, the \texttt{set}-methods
-might be different than those given in this example. The name of the
-access / set functions as well as the rest of the implementation of
-the material description can be found in
-\verb+dumux/material/fluidmatrixinteractions/2p+.
-
-\subsection{Exercises}
-\label{tutorial-implicit:exercises}
-The following exercises will give you the opportunity to learn how you
-can change soil parameters, boundary conditions, run-time parameters
-and fluid properties in \Dumux. Possible solutions to these exercises are given in the tutorial folder in the
-sub-folder \texttt{solutions\_implicit} as \texttt{.diff} files. In these files only
-the lines that are different from the original file are listed.
-They can be opened using the program \texttt{kompare}, simply type \texttt{kompare SOLUTIONFILE} into the terminal.
-
-\subsubsection{Exercise 1}
-\renewcommand{\labelenumi}{\alph{enumi})} For Exercise 1 you have
-to make only some small changes in the tutorial files.
-
-\begin{enumerate}
-
-\item \textbf{Running the Program} \\
-To get an impression what the results should look like you can compile and run the original version of
-the implicit tutorial model by typing \texttt{make tutorial\_implicit} followed by \texttt{./tutorial\_implicit}.
-Note, that the time-step size is automatically adapted during the simulation.
-For the visualization of the results using ParaView, please refer to section \ref{quick-start-guide}.
-
-\item \textbf{Changing the Model Domain and the Boundary Conditions} \\
-  Change the size of the model domain so that you get a rectangle with
-  edge lengths of $\text{x} = \unit[400]{m}$ and $\text{y} = \unit[500]{m}$ and with
-  discretization lengths of $\Delta \text{x} = \unit[20]{m}$ and $\Delta
-  \text{y} = \unit[20]{m}$. For this you have to edit the parameter file (\texttt{tutorial\_implicit.input})
-  and run the program again.\\
-  Note, that you do not have to recompile the program if you make changes to the parameter file.
-
-
-  Change the boundary conditions in the file
-  \texttt{tutorialproblem\_implicit.hh} so that water enters from the
-  bottom and oil is extracted from the top boundary. The right and the
-  left boundary should be closed for water and oil fluxes. \\
-  The Neumannn Boundary conditions are multiplied by the normal (pointing outwards),
-  so an influx is negative, an outflux always positive.
-  Such information can easily be found in the documentation of the functions (also look into base classes).
-  Compile the main file by typing \texttt{make tutorial\_implicit} and
-  run the model as explained above.
-
-  \item \textbf{Changing  the Shape of the Discrete Elements} \\
-  In order to complete this exercise you need an external grid manager capable of handling
-  simplex grids, like \texttt{ALUGrid} or \texttt{UGGrid}. If this is not the case,
-  please skip this exercise.
-  Change the types of elements used for discretizing the domain. In line
-  \ref{tutorial-implicit:set-grid} of the problem file the grid is chosen.
-  For ALUGrid you have to change the ALUGrid type in line \ref{tutorial-implicit:set-grid-ALU} from \texttt{Dune::cube}
-  to \texttt{Dune::simplex}.
-  The shape of the employed elements can be visualized in ParaView by choosing \texttt{Surface with Edges}.
-
-\item \textbf{Changing Fluids} \\
-Now you can change the fluids. Use DNAPL instead of Oil and Brine instead of Water.
-To do that, you have to select different components via the property system in the problem file:
-\begin{enumerate}
- \item Brine: Brine is thermodynamically very similar to pure water but also
- considers a fixed amount of salt in the liquid phase.
-  Hence, the class \texttt{Dumux::Brine} uses a pure water class, such as \texttt{Dumux::H2O<Scalar>},
-  as a second template argument after the data type \texttt{<Scalar>}, i.e.
-  \texttt{Dumux::Brine<Scalar, Dumux::H2O<Scalar>>}. The file is located in the folder \texttt{dumux/material/components/}.
-  Try to include the file and select the component as the wetting phase via the property system.
- \item DNAPL:
-  Now let's include a DNAPL (\textbf{d}ense \textbf{n}on-\textbf{a}queous \textbf{p}hase \textbf{l}iquid)
-  which is located in the folder \texttt{dumux/material/components/}. Try to
-  include the file and select the component as the non-wetting phase via the property system.
-\end{enumerate}
-If you want to take a closer look on how the fluid classes are defined and which
-substances are already available please browse through the files in the directory
-\texttt{/dumux/material/components} and read 
-the doxygen documentation \url{http://www.dumux.org/doxygen-stable/html-\DumuxVersion/modules.php}.
-%chapter~\ref{sec:fluidframework}.
-
-\item \textbf{Use a Full-Fledged Fluid System} \\
-\Dumux usually describes fluid mixtures via \textit{fluid systems}, see also chapter \ref{sec:fluidframework}.
-In order to include a fluid system, you first have to comment out lines \ref{tutorial-implicit:2p-system-start}
-to \ref{tutorial-implicit:2p-system-end} in the problem file. If you use eclipse,
-this can easily be done by pressing \textit{Ctrl + Shift + 7} --
-the same as to cancel the comment later on.\\
-Now include the file \texttt{fluidsystems/h2oair.hh} in the material
-folder, and set a type property \texttt{FluidSystem} (see line \ref{tutorial-implicit:set-fluidsystem})
-with the appropriate type, which is either:\\
- \texttt{Dumux::FluidSystems::H2OAir<typename GET\_PROP\_TYPE(TypeTag, Scalar)>}\\
-or in the \Dumux tongue\\
- \texttt{Dumux::H2OAirFluidSystem<TypeTag>}
-\\
-However, this is a rather complicated fluid system which
-considers mixtures of components and also uses tabulated components that need to
-be initialized -- i.e. the tables need to be filled with values.
-The initialization of the fluid system is normally done in the constructor of the
-problem by calling \texttt{GET\_PROP\_TYPE(TypeTag, FluidSystem)::init();}.
-Remember that the constructor function always has the same name as the respective
-class, i.e. \texttt{TutorialProblemImplicit(..)}.\\
-As water flow replacing a gas is much faster, test your simulation only until $2000$
-seconds and start with a time-step of $1$ second.\\
-Please reverse the changes made in this part of the exercise, as we will continue
-to use immiscible phases from here on and hence do not need a complex fluid system.
-
-\item \textbf{Changing Constitutive Relations} \\
-Use an unregularized linear law with an entry pressure of $p_e = \unit[0.0]{Pa}$
-and maximal capillary pressure of e.g. $p_{c_{max}} = \unit[2000.0]{Pa}$ instead of using a
- regularized Brooks-Corey law for the
-  relative permeability and for the capillary pressure saturation relationship.
-  To do that you have
-  to change the material law property (line \ref{tutorial-implicit:rawlaw}) in
-  \texttt{tutorialspatialparams\_implicit.hh}. Exchange the \texttt{RegularizedBrooksCorey} material law with the \texttt{LinearMaterial} law type in the private section of
- the property definition.
- You can find the material laws in the folder
-  \verb+dumux/material/fluidmatrixinteractions+. The necessary parameters
-of the linear law and the respective \texttt{set}-functions can be found
- in the file \\
- \verb+dumux/material/fluidmatrixinteractions/2p/linearmaterialparams.hh+.\\
-Call the \texttt{set}-functions from the constructor of the \texttt{tutorialspatialparams\_implicit.hh}.
-
-\item \textbf{Heterogeneities}  \\
-  Set up a model domain with the soil properties given in Figure
-  \ref{tutorial-implicit:exercise1_d}. Adjust the boundary conditions
-  so that water is again flowing from the left to the right of the
-\begin{figure}[ht]
-\centering
-\begin{tikzpicture}[>=latex]
-  % basic sketch
-  \fill [dumuxBlue](3,0) rectangle ++(3,3);
-  \draw (3,0) -- ++(0,3);
-  \draw (0,0) rectangle ++(6,3);
-  % arrows
-  \draw [|<->|](0,-0.3) -- ++(6,0);
-  \node at (3,-0.3)[anchor=north]{$\unit[600]{m}$};
-  \draw [|<->|](-0.3,0) -- ++(0,3);
-  \node at(-0.3,1.5)[anchor=east]{$\unit[300]{m}$};
-  % labels
-  \node [anchor=west] at (0.2,1.5){$\mathbf{K}=\unit[10^{-8}]{m^2}$};
-  \node [anchor=west] at (0.2,1){$\phi=0.15$};
-  \node [anchor=west] at (3.2,1.5){$\mathbf{K}=\unit[10^{-9}]{m^2}$};
-  \node [anchor=west] at (3.2,1){$\phi=0.3$};
-\end{tikzpicture}
-\caption{Exercise 1g: Set-up of a model domain with a heterogeneity. Grid
-spacing: $\Delta x = \unit[20]{m}$ $\Delta y = \unit[20]{m}$.}\label{tutorial-implicit:exercise1_d}
-\end{figure}
-domain. You can use the fluids of exercise 1b.\\
-\textbf{Hint:} The current position of the control volume can be obtained
-using \texttt{element\allowbreak.geometry()\allowbreak.corner(scvIdx)}, which
-returns a vector of the global coordinates of the current position.\\
-When does the front cross the material border? In ParaView, the
-animation view (\textit{View} $\rightarrow$ \textit{Animation
-  View}) is a convenient way to get a rough feeling of the time-step
-sizes.
-\end{enumerate}
-
-\subsubsection{Exercise 2}
-For this exercise you should create a new problem file analogous to
-the file \texttt{tutorialproblem\_implicit.hh} (e.g. with the name
-\texttt{ex2\_tutorialproblem\_implicit.hh} and new spatial parameters \texttt{ex2\_tutorial\allowbreak spatialparams\_implicit.hh},
-just like \texttt{tutorialspatialparams\_implicit.hh}.
-
-The new files should contain the definition of new classes with names
-that relate to the file name, such as
-\texttt{Ex2TutorialProblemImplicit}. Make sure that you also adjust the
-guardian macros in lines \ref{tutorial-implicit:guardian1} and
-\ref{tutorial-implicit:guardian2}
-in the header files (e.g. change
-\mbox{\texttt{DUMUX\_TUTORIALPROBLEM\_IMPLICIT\_HH}} to\\
-\mbox{\texttt{DUMUX\_EX2\_TUTORIALPROBLEM\_IMPLICIT\_HH}}). Include the new problem file in \texttt{tutorial\_implicit.cc}.
-Besides adjusting the guardian macros, the new problem file should define and
-use a new type tag for the problem as well as a new problem class
-e.g. \mbox{\texttt{Ex2TutorialProblemImplicit}}. The type tag definition has
-to be adjusted in \texttt{tutorial\_implicit.cc} too (see line \ref{tutorial-implicit:set-type-tag}).
-Similarly adjust your new spatial parameters file. If you are using Eclipse there is
-a very helpful function called \texttt{Refactor} which you can use to change
-all similar variables or types in your current file in one go. Just place the
-cursor at the variable or type you want to change
-and use the \texttt{Refactor} $\rightarrow$ \texttt{Rename} functionality. Make sure to assign your
-newly defined spatial parameter class to the
-\texttt{SpatialParams} property for the new
-type tag.
-
-After this, change the run-time parameters so that they match the
-domain described by figure \ref{tutorial-implicit:ex2_Domain}. Adapt
-the problem class so that the boundary conditions are consistent with
-figure \ref{tutorial-implicit:ex2_BC}. Initially, the domain is fully
-saturated with water and the pressure is $p_w = \unit[5 \times
-10^5]{Pa}$. Oil infiltrates from the left side. Create a grid
-with $20$ cells in $x$-direction and $10$ cells in $y$-direction. The
-simulation time should be set to $\unit[10^6]{s}$ with an
-initial time-step size of $\unit[100]{s}$. Then, you can compile the program.
-
-
-\begin{figure}[ht]
-\centering
-\begin{tikzpicture}[scale=0.7,>=latex]
-  % basic sketch
-  \draw (0,0) rectangle ++(10,5);
-  \draw [fill=dumuxYellow] (2.5,1.5) rectangle ++(5,2);
-  % arrows
-  \draw[|<->|] (-0.2,0) -- ++(0,5);
-  \node [anchor=east] at (-0.2,2.5){$\unit[50]{m}$};
-  \draw[|<->|] (0,5.2) -- ++(10,0);
-  \node [anchor=south] at (5,5.2){$\unit[100]{m}$};
-  \draw[|<->|] (2.3,1.5) -- ++(0,2);
-  \node [anchor=east] at (2.3,2.5){$\unit[20]{m}$};
-  \draw[|<->|] (2.3,0) -- ++(0,1.5);
-  \node [anchor=east] at (2.3,0.75){$\unit[15]{m}$};
-  \draw[|<->|] (2.5,3.7) -- ++(5,0);
-  \node [anchor=south] at (5,3.7){$\unit[50]{m}$};
-  \draw[|<->|] (7.5,3.7) -- ++(2.5,0);
-  \node [anchor=south] at (8.25,3.7){$\unit[25]{m}$};
-  % labels
-  \draw [dashed] (11,3) rectangle ++(7,3.5);
-  \node [anchor=south west] at (11,5.4){$\mathbf{K} = \unit[10^{-7}]{m^2}$};
-  \node [anchor=south west] at (11,4.6){$\phi = 0.2$};
-  \node [anchor=south west] at (11,3.8){\textsc{Brooks-Corey Law}};
-  \node [anchor=south west] at (11,3.0){$\lambda = 1.8, p_e = \unit[1000]{Pa}$};
-  \draw [->] (11,4) -- (9.5,2.5);
-  \draw [dashed] (11,-1) rectangle ++(7,3.5);
-  \node [anchor=south west] at (11,1.4){$\mathbf{K} = \unit[10^{-9}]{m^2}$};
-  \node [anchor=south west] at (11,0.6){$\phi = 0.15$};
-  \node [anchor=south west] at (11,-0.2){\textsc{Brooks-Corey Law}};
-  \node [anchor=south west] at (11,-1.0){$\lambda = 2, p_e = \unit[1500]{Pa}$};
-  \draw [->] (11,1.5) -- (7,2.5);
-\end{tikzpicture}
-\caption{Set-up of the model domain and the soil parameters}\label{tutorial-implicit:ex2_Domain}
-\end{figure}
-
-\begin{figure}[ht]
-\centering
-\begin{tikzpicture}[scale=0.7,>=latex]
-  % basic sketch
-  \fill [pattern=north west lines] (0,0) rectangle ++(10,-0.25);
-  \fill [pattern=north west lines] (0,5) rectangle ++(10,0.25);
-  \draw (0,0) rectangle ++(10,5);
-  \draw [fill=dumuxYellow] (2.5,1.5) rectangle ++(5,2);
-  \foreach \y in {0.5,1.5,...,4.5}
-    \draw [->](10.2,\y) -- ++(0.8,0);
-  % labels
-  \node [anchor=south] at (5,5.25){no flow};
-  \node [anchor=north] at (5,-0.25){no flow};
-  \node [anchor=west] at(11,2){$q_n = 0$};
-  \node [anchor=west] at(11,3){$q_w = \unitfrac[2 \cdot 10^{-4}]{kg}{m^2 s}$};
-  \node [anchor=west] at(-4,2){$S_n = 1$};
-  \node [anchor=west] at(-4,3){$p_w = \unit[5 \cdot 10^5]{Pa}$};
-\end{tikzpicture}
-\caption{Boundary Conditions}\label{tutorial-implicit:ex2_BC}
-\end{figure}
-
-\begin{itemize}
- \item Increase the simulation time to e.g. $\unit[4\times 10^7]{s}$. Investigate the saturation: Is the value range reasonable?
- \item What happens if you increase the resolution of the grid?
-\end{itemize}
-
-\subsubsection{Exercise 3: Parameter File Input}
-As you have experienced, compilation takes quite some time. Therefore,
-\Dumux provides a simple method to read in parameters at run-time
-via \textit{parameter input files}.
-
-In the code, parameters can be read via the macro
-\texttt{GET\_RUNTIME\_PARAM(TypeTag, Scalar, 
-MyWonderful\allowbreak Group.MyWonderfulParameter);}. In this exercise we will explore the possibilities of the
-parameter file. For this we take a look at the file \texttt{ex3\_tutorial\_implicit.input} in the \texttt{solutions\_implicit} folder.
-Besides the parameters which you already used in the parameter file above,
-there are parameters which can be used to control the
-Newton and the Linear solver (groups: \texttt{Newton} and \texttt{LinearSolver}).
-Run-time parameters used in the problem or spatial parameters classes
-can also be set with the respective group names (\texttt{Problem} and \texttt{SpatialParams})
-in the parameter file. For the latter parameters to be included in the program
-they have to be assigned in the problem or spatial parameters constructor. This
-can be done as shown in the files \texttt{ex3\_tutorialproblem\_implicit.diff}
-and \texttt{ex3\_tutorialspatialparams\_implicit.diff} in the \texttt{solutions\_implicit} folder. Add some (for
-example \texttt{Newton.MaxSteps} and \texttt{Problem.EnableGravity}) to the
-parameter file \texttt{tutorial\_implicit.input} and observe what
-happens if they are modified.
-
-\subsubsection{Exercise 4: Create a New Component}
-Create a new file for the benzene component called \texttt{benzene.hh}
-and implement a new component. (You may get a hint by looking at
-existing components in the directory \verb+/dumux/material/components+). \\
-Use benzene as a new fluid and run the model of Exercise 2 with water
-and benzene. Benzene has a density of $\unitfrac[889.51]{kg}{m^3}$ and
-a viscosity of $\unit[0.00112]{Pa \, s}$.
-
-\subsubsection{Exercise 5: Time Dependent Boundary Conditions}
-In this exercise we want to investigate the influence of time dependent boundary
-conditions. For this, redo the steps of exercise 2 and create a new problem and
-spatial parameters file.
-
-After this, change the run-time parameters so that they match the
-domain described by figure \ref{tutorial-implicit:ex5_Domain}. Adapt
-the problem class so that the boundary conditions are consistent with
-figure \ref{tutorial-implicit:ex5_BC}. Here you can see the time dependence of the
-nonwetting saturation, where water infiltrates only during $\unit[10^5]{s}$ and
-$\unit[4 \cdot 10^5]{s}$. To implement these time dependencies you need the actual
-time $t_{n+1}=t_n + \Delta t$ and the endtime of the simulation. For this you can
-use the methods \texttt{this->timeManager().time()}, \texttt{this->timeManager().timeStepSize()}
-and \texttt{this->timeManager().endTime()}.
-
-Initially, the domain is fully saturated with oil and the pressure is $p_w = 2 \times
-10^5\,\text{Pa}$.  Water infiltrates from the left side. Create a grid
-with $100$ cells in $x$-direction and $10$ cells in $y$-direction. The
-simulation time should be set to $\unit[5 \cdot 10^5]{s}$ with an
-initial time-step size of $\unit[10]{s}$. To avoid too big time-step sizes
-you should set the parameter \texttt{MaxTimeStepSize} for the group \texttt{TimeManager}
-(in your input file) to $\unit[1000]{s}$.  Then, you can compile the program.
-
-\begin{figure}[ht]
-\centering
-\begin{tikzpicture}[scale=0.7,>=latex]
-  % basic sketch
-  \fill [pattern=north west lines] (0,0) rectangle ++(10,-0.25);
-  \fill [pattern=north west lines] (0,5) rectangle ++(10,0.25);
-  \draw (0,0) rectangle ++(10,5);
-  \foreach \y in {0.5,1.5,...,4.5}
-    \draw [->](10.2,\y) -- ++(0.8,0);
-  % arrows
-  \draw[|<->|] (-0.2,0) -- ++(0,5);
-  \node [anchor=east] at (-0.2,1.5){$\unit[50]{m}$};
-  \draw[|<->|] (0,5.35) -- ++(10,0);
-  \node [anchor=south] at (2.5,5.2){$\unit[100]{m}$};
-  % labels
-  \node [anchor=south] at (5,5.25){no flow};
-  \node [anchor=north] at (5,-0.25){no flow};
-  \node [anchor=west] at(11,2){$q_n = \unitfrac[1 \cdot 10^{-3}]{kg}{m^2 s}$};
-  \node [anchor=west] at(11,3){$q_w = 0$};
-  \node [anchor=west] at(-4,2){$S_n(t)$};
-  \node [anchor=west] at(-4,3){$p_w = \unit[2 \cdot 10^5]{Pa}$};
-  \node [anchor=south west] at (2.5,3.4){$\mathbf{K} = \unit[10^{-7}]{m^2}$};
-  \node [anchor=south west] at (2.5,2.6){$\phi = 0.2$};
-  \node [anchor=south west] at (2.5,1.8){\textsc{Brooks-Corey Law}};
-  \node [anchor=south west] at (2.5,1.0){$\lambda = 2, \; p_e = \unit[500]{Pa}$};
-\end{tikzpicture}
-\caption{Set-up of the model domain and the soil parameters}\label{tutorial-implicit:ex5_Domain}
-\end{figure}
-
-\begin{figure}[ht]
-\centering
-\begin{tikzpicture}[scale=0.9,>=latex]
-    % Draw axes
-    \draw [<->,thick] (0,6) node (yaxis) [above] {$S_n$}
-        |- (11,0) node (xaxis) [right] {time\,[s]};
-    \draw plot[smooth,samples=100,domain=0:1] (6*\x + 2 ,{5*sin((\x+1)*pi r)+5});
-	\draw [-] (0,5) -- (2,5);
-	\draw [-] (8,5) -- (10,5);
-    \draw [dashed] (2,5) -- (2,0);
-    \draw [dashed] (8,5) -- (8,0);
-    \draw [dashed] (10,5) -- (10,0);
-
-    % axes labeling
-    \draw [-] (-0.1,5) -- (0.1,5);
-    \node [anchor=west] at(-0.5,5){$1$};
-    \draw [-] (-0.1,0) -- (0.1,0);
-    \node [anchor=west] at(-0.5,0){$0$};
-    \draw [-] (2,0.1) -- (2,-0.1);
-    \node [anchor=west] at(1.5,-0.4){$1\cdot10^{5}$};
-    \draw [-] (8,0.1) -- (8,-0.1);
-    \node [anchor=west] at(7.5,-0.4){$4\cdot10^{5}$};
-    \draw [-] (10,0.1) -- (10,-0.1);
-    \node [anchor=west] at(9.5,-0.4){$5\cdot10^{5}$};
-
-    \node [anchor=base] at (5,3){$1-\sin\left(\pi\frac{\text{time}-10^5}{3\cdot 10^5 }\right)$};
-\end{tikzpicture}
-\caption{Time Dependent Boundary Conditions}\label{tutorial-implicit:ex5_BC}
-\end{figure}
-
-\begin{itemize}
- \item Open ParaView and plot the values of $S_n$ at time $\unit[5 \cdot 10^5]{s}$
- over the $x$-axis.\\ (\texttt{Filter->Data Analysis->Plot Over Line})
- \item What happens without any time-step restriction?
-\end{itemize}
-
-\clearpage \newpage
-%%% Local Variables:
-%%% mode: latex
-%%% TeX-master: "dumux-handbook"
-%%% End:
diff --git a/doc/handbook/3_tutorialsequential.tex b/doc/handbook/3_tutorialsequential.tex
deleted file mode 100644
index e2d8754671ce581cc02285e7db6c1d3a750e62ea..0000000000000000000000000000000000000000
--- a/doc/handbook/3_tutorialsequential.tex
+++ /dev/null
@@ -1,530 +0,0 @@
-\section[Sequential model]{Solving a problem using a Sequential Model}\label{tutorial-sequential}
-The process of solving a problem using \Dumux can be roughly divided into four parts:
-\begin{enumerate}
- \item The geometry of the problem and correspondingly a grid have to be defined.
- \item Material properties and constitutive relationships have to be defined.
- \item Boundary conditions as well as initial conditions have to be defined.
- \item A suitable model has to be chosen.
-\end{enumerate}
-
-In contrast to the last section, we now apply a sequential solution procedure, a
-so-called \textit{IMPET} (\textit{IM}plicit \textit{P}ressure \textit{E}xplicit
-\textit{T}ransport) algorithm. This means that the pressure equation is first
-solved using an implicit method. The resulting velocities are then used to solve
-a transport equation explicitly.\\
-In this tutorial, pure fluid phases are solved with a finite volume discretization
-of both pressure- and transport step. Primary variables, according to default
-settings of the model, are the pressure and the saturation of the wetting phase.
-
-The problem which is solved in this tutorial is illustrated in figure
-\ref{tutorial-sequential:problemfigure}. A rectangular domain with no flow
-boundaries on the top and at the bottom, which is initially saturated with oil,
-is considered. Water infiltrates from the left side into the domain. Gravity
-effects are neglected.
-
-\begin{figure}[ht]
-\centering
-\begin{tikzpicture}[>=latex]
-  % basic sketch
-  \fill [fill=dumuxBlue](0,0) rectangle ++(2,1.5);
-  \fill [fill=dumuxYellow](2,0) rectangle ++(5,1.5);
-  \draw (0,0) rectangle ++(7,1.5);
-  \foreach \x in {0,0.25,...,6.75}
-    \draw (\x,1.5) -- ++(0.25,0.25);
-  \foreach \x in {0,0.25,...,6.75}
-    \draw (\x,-0.25) -- ++(0.25,0.25);
-  % labels
-  \draw [->](-0.5,-0.5) -- ++(0,0.7) node [anchor=east]{$y$};
-  \draw [->](-0.5,-0.5) -- ++(0.7,0) node [anchor=north]{$x$};
-  \node at(3.5,1.75)[anchor=south]{no flow};
-  \node at(3.5,-0.25)[anchor=north]{no flow};
-  \draw[->,thick](-0.4,0.75) -- ++(0.9,0) node[anchor=north]{water};
-  \draw[->,thick](6.5,0.75)node[anchor=north]{oil} -- ++(0.9,0);
-  % equations
-  \node [anchor=west] at (2,1.1){$p_{w_\text{initial}} = \unit[2 \cdot 10^5]{Pa}$};
-  \node [anchor=west] at (2,0.4){$S_{w_\text{initial}} = 0$};
-  \node [anchor=west] at (-3,1.1){$p_w = \unit[2 \cdot 10^5]{Pa}$};
-  \node [anchor=west] at (-3,0.4){$S_w = 1$};
-  \node [anchor=west] at (7.5,1.1){$q_w = \unitfrac[0]{kg}{m^2s}$};
-  \node [anchor=west] at (7.5,0.4){$q_n = \unitfrac[3 \cdot 10^{-2}] {kg}{m^2s}$};
-\end{tikzpicture}
-\caption{Geometry of the tutorial problem with initial and boundary conditions.}
-\label{tutorial-sequential:problemfigure}
-\end{figure}
-
-Listing \ref{tutorial-sequential:mainfile} shows how the main file, which has to be
-executed, has to be set up, if the problem described above is to be solved using
-a sequential model. This main file can be found in the directory \texttt{/tutorial}
-of the stable part of \Dumux.
-
-\begin{lst}[File tutorial/tutorial\_sequential.cc]\label{tutorial-sequential:mainfile} \mbox{}
-\lstinputlisting[style=DumuxCode, numbersep=5pt, firstline=24, firstnumber=24]{../../tutorial/tutorial_sequential.cc}
-\end{lst}
-
-First, from line \ref{tutorial-sequential:include-begin} to line
-\ref{tutorial-sequential:include-end} the \Dune and \Dumux files containing
-essential functions and classes are included.
-
-At line \ref{tutorial-sequential:set-type-tag} the type tag of the
-problem which is going to be simulated is set. All other data types
-can be retrieved by the \Dumux property system and only depend on this
-single type tag. For an introduction to the
-property system, see section \ref{sec:propertysystem}.
-
-After this \Dumux' default startup routine \texttt{Dumux::start()} is
-called in line \ref{tutorial-sequential:call-start}. This function deals
-with parsing the command line arguments, reading the parameter file,
-setting up the infrastructure necessary for \Dune, loading the grid, and
-starting the simulation. All parameters can
-be either specified by command line arguments of the form
-(\texttt{-ParameterName ParameterValue}), in the file specified by the
-\texttt{-parameterFile} argument, or if the latter is not specified,
-in the file \texttt{tutorial\_sequential.input}. If a parameter is
-specified on the command line as well as in the parameter file, the
-values provided in the command line have
-precedence. Listing~\ref{tutorial-sequential:parameter-file} shows the
-default parameter file for the tutorial problem.
-
-\begin{lst}[File tutorial/tutorial\_sequential.input]\label{tutorial-sequential:parameter-file} \mbox{}
-\lstinputlisting[style=DumuxParameterFile]{../../tutorial/tutorial_sequential.input}
-\end{lst}
-
-To provide an error message, the usage message which is displayed to
-the user if the simulation is called incorrectly, is printed via the
-custom function which is defined on
-line~\ref{tutorial-sequential:usage-function}. In this function the usage
-message is customized to the problem at hand. This means that at least
-the necessary parameters are listed here.
-
-\subsection{The Problem Class}
-\label{sequential_problem}
-
-When solving a problem using \Dumux, the most important file is the
-so-called \textit{problem file} as shown in listing
-\ref{tutorial-sequential:problemfile} of
-\texttt{tutorialproblem\_sequential.hh}.
-
-\begin{lst}[File tutorial/tutorialproblem\_sequential.hh]\label{tutorial-sequential:problemfile} \mbox{}
-\lstinputlisting[style=DumuxCode, numbersep=5pt, firstline=24, firstnumber=24]{../../tutorial/tutorialproblem_sequential.hh}
-\end{lst}
-
-First, both \Dune  grid handlers and the sequential model of \Dumux
-have to be included. Then, a new type tag is created for the problem
-in line \ref{tutorial-sequential:create-type-tag}.  In this case, the
-new type tag inherits all properties defined for the \texttt{SequentialTwoP}
-type tag, which means that for this problem the two-phase sequential approach
-is chosen as discretization scheme (defined via the include in line
-\ref{tutorial-sequential:parent-problem}). On line \ref{tutorial-sequential:set-problem},
-a problem class is attached to the new type tag, while the grid which
-is going to be used is defined in line \ref{tutorial-sequential:set-grid-type} --
-in this case an \texttt{YaspGrid} is created. Since there's no uniform mechanism to
-allocate grids in \Dune, \Dumux features the concept of grid creators.
-In this case the generic \texttt{CubeGridCreator} which creates a
-structured hexahedron grid of a specified size and resolution. For
-this grid creator the  physical domain of the grid is specified via the
-run-time parameters \texttt{Grid.UpperRight} and
-\texttt{Grid.Cells}. These parameters can be specified via
-the command-line or in a parameter file.
-For more information about the \Dune grid interface, the different grid types
-that are supported and the generation of different grids, consult chapter \ref{sec:gridhandling} of this document and
-the \textit{Dune Grid Interface HOWTO} \cite{DUNE-HP}.
-
-Next, we select the material of the simulation: In the case of a pure two-phase
-model, each phase is a bulk fluid, and the complex (compositional) fluidsystems
-do not need to be used. However, they can be used (see exercise 1 \ref{dec-ex1-fluidsystem}).
-Instead, we use a simplified fluidsystem container that provides classes
-for liquid and gas phases, line \ref{tutorial-sequential:2p-system-start} to
-\ref{tutorial-sequential:2p-system-end}. These are linked to the appropriate
-chemical species in line \ref{tutorial-sequential:wettingPhase} and
-\ref{tutorial-sequential:nonwettingPhase}. For all parameters that depend
-on space, such as the properties of the soil, the specific spatial parameters
-for the problem of interest are specified in line
-\ref{tutorial-sequential:set-spatialparameters}.
-
-Now we arrive at some model parameters of the applied two-phase sequential
-model. First, in line  \ref{tutorial-sequential:cflflux} a flux function for the
-evaluation of the cfl-criterion is defined. This is optional as there exists also
-a default flux function. The choice depends on the problem which has to be solved.
-For cases which are not advection dominated the one chosen here is more reasonable.
-Line \ref{tutorial-sequential:cflfactor} assigns the CFL-factor to be used in the
-simulation run, which scales the time-step size (kind of security factor). The last
-property in line \ref{tutorial-sequential:gravity}
-is optional and tells the model not to use gravity.
-
-After all necessary information is written into the property system and
-its namespace is closed in line \ref{tutorial-sequential:propertysystem-end},
-the problem class is defined in line \ref{tutorial-sequential:def-problem}.
-As its property, the problem class itself is also derived from a parent,
-\texttt{IMPESProblem2P}. The class constructor (line
-\ref{tutorial-sequential:constructor-problem}) is able to hold two vectors,
-which is not needed in this tutorial.
-
-Beside the definition of the boundary and initial conditions (discussed in
-subsection \ref{tutorial-implicit:problem} from 4$^{th}$ paragraph on page
-\pageref{tutorial-implicit:boundaryStart}), the problem class also contains
-general information about the current simulation. First, the name used by
-the \texttt{VTK-writer} to generate output is defined in the method of line
-\ref{tutorial-sequential:name}, and line \ref{tutorial-sequential:restart} indicates
-whether restart files are written. As sequential schemes usually feature small
-time-steps, it can be usefull to set an output interval larger than 1. The respective
-function is called in line \ref{tutorial-sequential:outputinterval}, which gets the output interval as argument.
-
-The following methods all have in common that they may be dependent on space.
-Hence, they all have either an \texttt{element} or an \texttt{intersection} as their
-function argument: Both are \Dune entities, depending on whether the parameter of
-the method is defined in an element, such as
-    initial values, or on an intersection, such as a boundary condition. As it may
-    be sufficient to return values only based on a position, \Dumux models can also
-    access functions in the problem with the form \mbox{\texttt{...AtPos(GlobalPosition\& globalPos)}},
-    without an \Dune entity, as one can see in line \ref{tutorial-sequential:bctype}.
-
-There are the methods for general parameters, source- or
-sinkterms, boundary conditions (lines \ref{tutorial-sequential:bctype} to
-\ref{tutorial-sequential:neumann}) and initial values for the transported
-quantity in line \ref{tutorial-sequential:initial}. For more information
-on the functions, consult the documentation in the code.
-
-\subsection{The Definition of the Parameters that are Dependent on Space}\label{tutorial-sequential:description-spatialParameters}
-
-Listing \ref{tutorial-sequential:spatialparamsfile} shows the file
-\verb+tutorialspatialparams_sequential.hh+:
-
-\begin{lst}[File tutorial/tutorialspatialparams\_sequential.hh]\label{tutorial-sequential:spatialparamsfile} \mbox{}
-\lstinputlisting[style=DumuxCode, numbersep=5pt, firstline=24, firstnumber=24]{../../tutorial/tutorialspatialparams_sequential.hh}
-\end{lst}
-As this file only slightly differs from the implicit version, consult
-chapter \ref{tutorial-implicit:description-spatialParameters} for explanations.
-However, as a standard Finite Volume scheme is used, in contrast to the box-method
-in the implicit case, the argument list here is the same as for the problem
-functions: Either an \texttt{element}, or only the global position if the function is called \texttt{...AtPos(...)}.
-
-\subsection{Exercises}
-\label{tutorial-deoucpled:exercises}
-The following exercises will give you the opportunity to learn how you can change
-soil parameters, boundary conditions and fluid properties in \Dumux and to play along
-with the sequential modelling framework.
-
-\subsubsection{Exercise 1}
-\renewcommand{\labelenumi}{\alph{enumi})}
-For Exercise 1 you only have to make some small changes in the tutorial files.
-\begin{enumerate}
-\item \textbf{Altering output}
-
-To get an impression what the results should look like you can first run the
-original version of the sequential tutorial model by typing  \texttt{./tutorial\_sequential}.
-The runtime parameters which are set can be found in the input file (listing~\ref{tutorial-sequential:parameter-file}).
-If the input file has the same name than the main file (e.g. \texttt{tutorial\_sequential.cc}
-and \texttt{tutorial\_sequential.input}), it is automatically chosen. If the name differs
-the program has to be started typing \texttt{./tutorial\_sequential -parameterFile <filename>.input}.
-For more options you can also type \texttt{./tutorial\_sequential -h}. For the
-visualisation with paraview please refer to \ref{quick-start-guide}.\\
-As you can see, the simulation creates many output files. To reduce these in order
-to perform longer simulations, change the method responsible for output (line
-\ref{tutorial-sequential:outputinterval} in the file \texttt{tutorialproblem\_\allowbreak sequential})
-as to write an output only every 20 time-steps. Compile the main file by typing
-\texttt{make tutorial\_sequential} and run the model. Now, run the simulation for 5e5 seconds.
-
-\item \textbf{Changing the Model Domain and the Boundary Conditions} \\
-Change the size of the model domain so that you get a rectangle
-with edge lengths of x = 300 m \\  and y = 300 m and with discretisation lengths
-of  $\Delta \text{x} = 20$ m and $\Delta \text{y} = 10$ m. \\
-Change the boundary conditions in the file \texttt{tutorialproblem\_sequential.hh}
-so that water enters from the bottom and oil flows out at the top boundary. The
-right and the left boundary should be closed for water and oil fluxes. The Neumannn
-Boundary conditions are multiplied by the normal (pointing outwards), so an influx
-is negative, an outflux always positive. Such information can easily be found in the
-documentation of the functions (also look into base classes).
-
-\item \textbf{Changing Fluids} \\
-Now you can change the fluids. Use DNAPL instead of Oil and Brine instead of Water.
-To do that you have to select different components via the property system in the problem file:
-\begin{enumerate}
- \item Brine: The class \texttt{Dumux::Brine} acts as an adapter to the fluid system
- that alters a pure water class by adding some salt. Hence, the class \texttt{Dumux::Brine}
- uses a pure water class, such as \texttt{Dumux::H2O}, as a second template
- argument after the data type \texttt{<Scalar>} as a template argument (be sure
- to use the complete water class with its own template parameter).
- \item DNAPL: A standard set of chemical substances, such as Water and Brine,
- is already included (via a list of \texttt{\#include ..} commandos) and hence
- easily accessible by default. This is not the case for the class \texttt{Dumux::DNAPL},
- however, which is located in the folder \texttt{dumux/material/components/}. Try to
- include the file as well as select the component via the property system.
-\end{enumerate}
-If you want to take a closer look at how the fluid classes are defined and which
-substances are already available please browse through the files in the directory
-\texttt{/dumux/material/components}.
-
-\item \textbf{Use the \Dumux fluid system}\label{dec-ex1-fluidsystem} \\
-\Dumux usually organizes fluid mixtures via a \texttt{fluidsystem}, see also chapter
-\ref{sec:fluidframework}. In order to include a fluidsystem you first have to comment
-the lines \ref{tutorial-sequential:2p-system-start} to \ref{tutorial-sequential:2p-system-end}
-in the problem file. If you use eclipse, this can easily be done by pressing
-\textit{str + shift + 7} -- the same as to cancel the comment later on.\\
-Now include the file \texttt{fluidsystems/h2oair.hh} in the material folder,
-and set a property \texttt{FluidSystem} with the appropriate type,
-\texttt{Dumux::H2OAirFluidSystem<TypeTag>}. However, this rather complicated fluidsystem
-uses tabularized fluid data, which need to be initialized (i.e. the tables need to be
-filled with values) in the constructor body of the current problem by adding
-\texttt{GET\_PROP\_TYPE(TypeTag, FluidSystem)::init();}. Remember that the constructor
-function always has the same name as the respective class, i.e. \texttt{TutorialProblemSequential(..)}.\\
-To avoid the initialization, use the simpler version of water \texttt{Dumux::SimpleH2O}
-or a non-tabulated version \texttt{Dumux::H2O}. This can be done by setting the property
-\texttt{Components} type \texttt{H2O},
-as is done in all the test problems of the sequential 2p2c model.\\
-The density of the gas is magnitudes smaller than that of oil, so please decrease
-the outflow rate to $q_n = 3 \times 10^{-4}$ $\left[\frac{\textnormal{kg}}{\textnormal{m}^2 \textnormal{s}}\right]$.
-Also reduce the simulation duration to 2e4 seconds.\\
-Please reverse the changes of this example, as we still use bulk phases and
-hence do not need such an extensive fluid system.
-
-\item \textbf{Heterogeneities}  \\
-Set up a model domain with the soil properties given in figure \ref{tutorial-deoucpled:exercise1_d}.
-Adjust the boundary conditions so that water is again flowing from left to right.
-\begin{figure}[bt]
-\centering
-\begin{tikzpicture}[>=latex]
-  % basic sketch
-  \fill [dumuxBlue](3,0) rectangle ++(3,3);
-  \draw (3,0) -- ++(0,3);
-  \draw (0,0) rectangle ++(6,3);
-  % arrows
-  \draw [|<->|](0,-0.3) -- ++(6,0);
-  \node at (3,-0.3)[anchor=north]{$\unit[600]{m}$};
-  \draw [|<->|](-0.3,0) -- ++(0,3);
-  \node at(-0.3,1.5)[anchor=east]{$\unit[300]{m}$};
-  % labels
-  \node [anchor=west] at (0.2,1.5){$\mathbf{K}=\unit[10^{-8}]{m^2}$};
-  \node [anchor=west] at (0.2,1){$\phi=0.15$};
-  \node [anchor=west] at (3.2,1.5){$\mathbf{K}=\unit[10^{-9}]{m^2}$};
-  \node [anchor=west] at (3.2,1){$\phi=0.3$};
-\end{tikzpicture}
-\caption{Exercise 1d: Set-up of a model domain a heterogeneity. $\Delta x = \Delta y = \unit[20]{m}$.}
-\label{tutorial-deoucpled:exercise1_d}
-\end{figure}
-When does the front cross the material border? In paraview, the option
-\textit{View} $\rightarrow$ \textit{Animation View} is nice to get a rough
-feeling of the time-step sizes.
-\end{enumerate}
-
-\subsubsection{Exercise 2}
-For this exercise you should create a new problem file analogous to
-the file \texttt{tutorialproblem\_sequential.hh} (e.g. with the name
-\texttt{ex2\_tutorialproblem\_sequential.hh} and new spatial parameters
-just like \texttt{tutorial\-spatialparams\_sequential.hh}. These files need to
-be included in the file \texttt{tutorial\_sequential.cc}.
-
-Each new files should contain the definition of a new class with a
-name that relates to the file name, such as \texttt{Ex2TutorialProblemSequential}.
-Make sure that you also adjust the guardian
-macros in lines \ref{tutorial-sequential:guardian1} and \ref{tutorial-sequential:guardian2}
- in the header files (e.g. change \\
-\texttt{DUMUX\_TUTORIALPROBLEM\_SEQUENTIAL\_HH} to
-\texttt{DUMUX\_EX2\_TUTORIALPROBLEM\_SEQUENTIAL\_HH}).  Beside also adjusting the guardian macros,
-the new problem file should define and use a new type tag for the problem as well as a new problem class
-e.g. \texttt{Ex2TutorialProblemSequential}. Make sure to assign your newly defined spatial
-parameter class to the \texttt{SpatialParams} property for the new
-type tag.
-
-After this, change the domain size (parameter input file) to match the domain described
-by figure \ref{tutorial-sequential:ex2_Domain}. Adapt the problem class
-so that the boundary conditions are consistent with figure
-\ref{tutorial-sequential:ex2_BC}. Initially, the domain is fully saturated
-with water and the pressure is $p_w = 2 \times 10^5 \, \text{Pa}$ . Oil
-infiltrates from the left side. Create a grid with $20$ cells in
-$x$-direction and $10$ cells in $y$-direction. The simulation time
-should be set to $\unit[1e6]{s}$.
-
-Now include your new problem file in the main file and replace the
-\texttt{TutorialProblemSequential} type tag by the one you've created and
-compile the program.
-
-
-\begin{figure}[ht]
-\centering
-\begin{tikzpicture}[scale=0.7,>=latex]
-  % basic sketch
-  \draw (0,0) rectangle ++(10,5);
-  \draw [fill=dumuxYellow] (2.5,1.5) rectangle ++(5,2);
-  % arrows
-  \draw[|<->|] (-0.2,0) -- ++(0,5);
-  \node [anchor=east] at (-0.2,2.5){$\unit[50]{m}$};
-  \draw[|<->|] (0,5.2) -- ++(10,0);
-  \node [anchor=south] at (5,5.2){$\unit[100]{m}$};
-  \draw[|<->|] (2.3,1.5) -- ++(0,2);
-  \node [anchor=east] at (2.3,2.5){$\unit[20]{m}$};
-  \draw[|<->|] (2.3,0) -- ++(0,1.5);
-  \node [anchor=east] at (2.3,0.75){$\unit[15]{m}$};
-  \draw[|<->|] (2.5,3.7) -- ++(5,0);
-  \node [anchor=south] at (5,3.7){$\unit[50]{m}$};
-  \draw[|<->|] (7.5,3.7) -- ++(2.5,0);
-  \node [anchor=south] at (8.25,3.7){$\unit[25]{m}$};
-  % labels
-  \draw [dashed] (11,3) rectangle ++(7,3.5);
-  \node [anchor=south west] at (11,5.4){$\mathbf{K} = \unit[10^{-7}]{m^2}$};
-  \node [anchor=south west] at (11,4.6){$\phi = 0.2$};
-  \node [anchor=south west] at (11,3.8){\textsc{Brooks-Corey Law}};
-  \node [anchor=south west] at (11,3.0){$\lambda = 1.8, p_e = \unit[1000]{Pa}$};
-  \draw [->] (11,4) -- (9.5,2.5);
-  \draw [dashed] (11,-1) rectangle ++(7,3.5);
-  \node [anchor=south west] at (11,1.4){$\mathbf{K} = \unit[10^{-9}]{m^2}$};
-  \node [anchor=south west] at (11,0.6){$\phi = 0.15$};
-  \node [anchor=south west] at (11,-0.2){\textsc{Brooks-Corey Law}};
-  \node [anchor=south west] at (11,-1.0){$\lambda = 2, p_e = \unit[1500]{Pa}$};
-  \draw [->] (11,1.5) -- (7,2.5);
-\end{tikzpicture}
-\caption{Set-up of the model domain and the soil parameters}\label{tutorial-sequential:ex2_Domain}
-\end{figure}
-
-\begin{figure}[ht]
-\centering
-\begin{tikzpicture}[scale=0.7,>=latex]
-  % basic sketch
-  \fill [pattern=north west lines] (0,0) rectangle ++(10,-0.25);
-  \fill [pattern=north west lines] (0,5) rectangle ++(10,0.25);
-  \draw (0,0) rectangle ++(10,5);
-  \draw [fill=dumuxYellow] (2.5,1.5) rectangle ++(5,2);
-  \foreach \y in {0.5,1.5,...,4.5}
-    \draw [->](10.2,\y) -- ++(0.8,0);
-  % labels
-  \node [anchor=south] at (5,5.25){no flow};
-  \node [anchor=north] at (5,-0.25){no flow};
-  \node [anchor=west] at(11,2){$q_n = 0$};
-  \node [anchor=west] at(11,3){$q_w = \unitfrac[2 \cdot 10^{-4}]{kg}{m^2 s}$};
-  \node [anchor=west] at(-4,2){$S_w = 0$};
-  \node [anchor=west] at(-4,3){$p_w = \unit[2 \cdot 10^5]{Pa}$};
-\end{tikzpicture}
-\caption{Boundary Conditions}\label{tutorial-sequential:ex2_BC}
-\end{figure}
-
-\begin{itemize}
- \item What happens if you increase the resolution of the grid? Hint: Paraview
- can visualize the time-steps via the ``Animation View'' (to be enabled unter the button \textit{View}).
- \item Set the CFL-factor to 1 and investigate the saturation: Is the value range reasonable?
- \item Further increase the CFL-factor to 2 and investigate the saturation.
-\end{itemize}
-
-\subsubsection{Exercise 3: Parameter file input}
-As you have experienced, compilation takes quite some time. Therefore, \Dumux
-provides a simple method to read in parameters (such as simulation end time or
-modelling parameters) via \texttt{Paramter Input Files}. The tests in the Test-folder
-\texttt{/test/} already use this system.\\
-If you look at the Application in \texttt{/test/porousmediumflow/2p/sequential/}, you see that
-the main file looks rather empty: The parameter file \texttt{test\_box2p.input}
-is read by a standard start procedure, which is called in the main function.
-This should be adapted for your problem at hand. The program run has to be
-called with the parameter file as argument. As this is a basic \Dumux feature,
-the procedure is the equivalent in the sequential as in the box models.
-In the code, parameters can be read via the macro
-\texttt{GET\_RUNTIME\_PARAM(TypeTag, Scalar, MyWonderfulGroup.MyWonderfulParameter);}.
-In \texttt{test\_2p}, \texttt{MyWonderfulGroup} is the group \texttt{SpatialParams}
-- any type of groups is applicable, if the group definition in the parameter file
-is enclosed in square brackets. The parameters are then listed thereafter.
-Try and use as much parameters as possible via the input file, such as lens
-dimension, grid resolution, soil properties etc. In addition, certain parameters
-that are specific to the model, such as the \texttt{CFL}-factor, can be assigned
-in the parameter file without any further action.
-
-\subsubsection{Exercise 4}
-Create a new file for benzene called \texttt{benzene.hh} and implement
-a new fluid system. (You may get a hint by looking at existing fluid
-systems in the directory \verb+/dumux/material/fluidsystems+.)
-
-Use benzene as a new fluid and run the model of Exercise 2 with water
-and benzene. Benzene has a density of $889.51 \, \text{kg} / \text{m}^3$
-and a viscosity of $0.00112 \, \text{Pa} \, \text{s}$.
-
-\subsubsection{Exercise 5: Time Dependent Boundary Conditions}
-In this exercise we want to investigate the influence of time dependent boundary
-conditions. For this, redo the steps of exercise 2 and create a new problem and
-spatial parameters file.
-
-After this, change the run-time parameters so that they match the
-domain described by figure \ref{tutorial-sequential:ex5_Domain}. Adapt
-the problem class so that the boundary conditions are consistent with
-figure \ref{tutorial-sequential:ex5_BC}. Here you can see the time dependence of
-the wetting saturation, where water infiltrates only during $10^5\,\text{s}$ and
-$4 \cdot 10^5\,\text{s}$. To implement these time dependencies you need the actual
-time $t_{n+1}=t_n + \Delta t$ and the endtime of the simulation. For this you can
-use the methods \texttt{this->timeManager().time()}, \texttt{this->timeManager().timeStepSize()}
-and \texttt{this->timeManager().endTime()}.
-
-Initially, the domain is fully saturated with oil and the pressure is $p_w = 2 \times
-10^5\,\text{Pa}$.  Water infiltrates from the left side. Create a grid
-with $100$ cells in $x$-direction and $10$ cells in $y$-direction. The
-simulation time should be set to $5 \cdot 10^5\,\text{s}$ with an
-initial time-step size of $10\,\text{s}$. To avoid too big time-step sizes you
-should set the parameter \texttt{MaxTimeStepSize} for the group \texttt{TimeManager}
-(in your input file) to $\unit[100]{s}$. You should only create output files
-every $100^{th}$ time-step (see exercise 1a). Then, you can compile the program.
-
-\begin{figure}[ht]
-\centering
-\begin{tikzpicture}[scale=0.7,>=latex]
-  % basic sketch
-  \fill [pattern=north west lines] (0,0) rectangle ++(10,-0.25);
-  \fill [pattern=north west lines] (0,5) rectangle ++(10,0.25);
-  \draw (0,0) rectangle ++(10,5);
-  \foreach \y in {0.5,1.5,...,4.5}
-    \draw [->](10.2,\y) -- ++(0.8,0);
-  % arrows
-  \draw[|<->|] (-0.2,0) -- ++(0,5);
-  \node [anchor=east] at (-0.2,1.5){$\unit[50]{m}$};
-  \draw[|<->|] (0,5.35) -- ++(10,0);
-  \node [anchor=south] at (2.5,5.2){$\unit[100]{m}$};
-  % labels
-  \node [anchor=south] at (5,5.25){no flow};
-  \node [anchor=north] at (5,-0.25){no flow};
-  \node [anchor=west] at(11,2){$q_n = \unitfrac[1 \cdot 10^{-3}]{kg}{m^2 s}$};
-  \node [anchor=west] at(11,3){$q_w = 0$};
-  \node [anchor=west] at(-4,2){$S_w(t)$};
-  \node [anchor=west] at(-4,3){$p_w = \unit[2 \cdot 10^5]{Pa}$};
-  \node [anchor=south west] at (2.5,3.4){$\mathbf{K} = \unit[10^{-7}]{m^2}$};
-  \node [anchor=south west] at (2.5,2.6){$\phi = 0.2$};
-  \node [anchor=south west] at (2.5,1.8){\textsc{Brooks-Corey Law}};
-  \node [anchor=south west] at (2.5,1.0){$\lambda = 2, \; p_e = \unit[500]{Pa}$};
-\end{tikzpicture}
-\caption{Set-up of the model domain and the soil parameters}\label{tutorial-sequential:ex5_Domain}
-\end{figure}
-
-%  \draw (0,0) sin (5,5) cos (10,0);
-\begin{figure}[ht]
-\centering
-\begin{tikzpicture}[scale=0.9,>=latex]
-    % Draw axes
-    \draw [<->,thick] (0,6) node (yaxis) [above] {$S_w$}
-        |- (11,0) node (xaxis) [right] {time\,[s]};
-    \draw plot[smooth,samples=100,domain=0:1] (6*\x + 2 ,{5*sin((\x)*pi r)});
-	\draw [dashed] (0,5) -- (5,5);
-
-    % axes labeling
-    \draw [-] (-0.1,5) -- (0.1,5);
-    \node [anchor=west] at(-0.5,5){$1$};
-    \draw [-] (-0.1,0) -- (0.1,0);
-    \node [anchor=west] at(-0.5,0){$0$};
-    \draw [-] (2,0.1) -- (2,-0.1);
-    \node [anchor=west] at(1.5,-0.4){$1\cdot10^{5}$};
-    \draw [-] (8,0.1) -- (8,-0.1);
-    \node [anchor=west] at(7.5,-0.4){$4\cdot10^{5}$};
-    \draw [-] (10,0.1) -- (10,-0.1);
-    \node [anchor=west] at(9.5,-0.4){$5\cdot10^{5}$};
-
-    \node [anchor=base] at (5,2){$\sin(\pi\frac{\text{time}-10^5}{3\cdot 10^5 })$};
-\end{tikzpicture}
-\caption{Time Dependent Boundary Conditions}\label{tutorial-sequential:ex5_BC}
-\end{figure}
-
-\begin{itemize}
- \item Open paraview and plot the values of $S_w$ at time $\unit[5 \cdot 10^5]{s}$
- over the $x-$axis.\\ (\texttt{Filter->Data Analysis->Plot Over Line})
- \item What happens without any time-step restriction?
-\end{itemize}
-
-\subsubsection{Exercise 6}
-If both the implicit and the sequential tutorial are completed, one should have
-noticed that the function arguments in the problem function differ slighty, as
-the numerical models differ. However, both are functions that depend on space,
-so both models can also work with functions based ond \mbox{\texttt{...AtPos(GlobalPosition \& globalPos)}},
-no matter if we model implicit or sequential. Try to formulate a spatial parameters
-file that works with both problems, the implicit and the sequential. Therein, only
-use functions at the position.
-
diff --git a/doc/handbook/CMakeLists.txt b/doc/handbook/CMakeLists.txt
index ae554056360922470ccc167b7c5db52ad323bee1..eb5975a08877896707c6ef0e1e441019da353e32 100644
--- a/doc/handbook/CMakeLists.txt
+++ b/doc/handbook/CMakeLists.txt
@@ -6,8 +6,6 @@ set(TEX_INPUTS
   2_quickinstall.tex
   2_quickstartguide.tex
   3_tutorial.tex
-  3_tutorialimplicit.tex
-  3_tutorialsequential.tex
   3_furtherpractice.tex
   4_assemblinglinearsystem.tex
   4_guidelines.tex