Merge branch 'master' into develop

INSTALL

-/usr/local/share/automake-1.11/INSTALL
\ No newline at end of file

README

+Installation
+============
+
+    Requirements:
+
+    To install TNL, you need:
+
+    cmake 3.4 or later (https://cmake.org/download/)
+    GNU g++ 4.8 or later (https://gcc.gnu.org/)
+    CUDA 8.0 or later (https://developer.nvidia.com/cuda-downloads)
+
+    For image processing problems, you may optionaly install:
+    DCMTK (http://dicom.offis.de/dcmtk.php.en)
+    libpng (http://www.libpng.org/pub/png/libpng.html)
+    libjpeg (http://libjpeg.sourceforge.net/)
+
+    The latest release of TNL can be downloaded as:
+
+    wget tnl-project.org/data/src/tnl-0.1.tar.bz2
+
+    Unpack it as:
+
+    tar xvf tnl-0.1.tar.bz2
+    cd tnl-0.1
+
+    Executing command
+
+    ./install
+
+    will install TNL to a folder ${HOME}/.local . You may change it by
+
+    ./install --prefix=<TNL prefix>
+
+    During the installation, TNL fetches latest version of Gtest and install it only 
+    locally to sub-folders Debug and Release. At the end of the installation, the
+    script is checking if the prefix folder is visible to your bash and your linker.
+    If not, it informs you how to change your ${HOME}/.bashrc file to fix it.
+
+How to write a simple solver
+============================
+
+To implement your own solver:
+
+    Create and go to your working directory
+
+    mkdir MyProblem
+    cd Myproblem
+
+    Execute a command tnl-quickstart
+
+    tnl-quickstart
+
+    Answer the questions as, for example, follows
+
+    TNL Quickstart -- solver generator
+    ----------------------------------
+    Problem name:My Problem
+    Problem class base name (base name acceptable in C++ code):MyProblem
+    Operator name:Laplace
+
+    Write your numerical scheme by editing a file
+
+    Laplace_impl.h
+
+    on lines:
+        34, 141 and 265 for 1D, 2D and 3D problem respectively with explicit time discretization
+        101, 211 and 332 for 1D, 2D and 3D problem respectively with (semi-)implicit time discretization
+    If you have CUDA on your system, edit Makefile
+
+    vim Makefile
+
+    and change the second line to
+
+    WITH_CUDA = yes
+
+    Compile the program by executing
+
+    make
+
+    Run it on your favourite HW architecture by executing
+
+    ./MyProblem
+
+    and following the printed help.

src/Tools/tnl-quickstart/tnl-quickstart.py

@@ -18,7 +18,7 @@ print( "----------------------------------")
 
 definitions = {}
 
-definitions['problemName'] = input( "Problam name:" )
+definitions['problemName'] = input( "Problem name:" )
 definitions['problemBaseName'] = input( "Problem class base name (base name acceptable in C++ code):" )
 definitions['operatorName'] = input( "Operator name:")