Fixed tnl-quickstart, written README file.

/usr/local/share/automake-1.11/INSTALL

 No newline at end of file

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.

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:")