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Simulator programs and utilities for automatic differentiation.
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Tor Harald Sandve 013d1d3499 Apply the swatinit scaling to new_props 
The capillary pressure function in new_props is scaled to match the
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This is a temporary workaround while the simulator uses two different
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README.md Updated to address points raised by bska. 2013-09-24 13:44:32 +02:00

README.md

Open Porous Media Automatic Differentiation Library

CONTENT

opm-autodiff contains a small library for automatic differentiation built on the Eigen linear algebra package. It also contains some experimental solver and simulator prototypes demonstrating how it can be used. The most important parts are:

  • AutoDiffBlock.hpp (class for AD on vectorized data with sparse jacobians)
  • AutoDiffHelpers.hpp (various utilities to simplify writing solvers)
  • sim_fibo_ad.cpp (prototype fully implicit black-oil simulator)

LICENSE

The library is distributed under the GNU General Public License, version 3 or later (GPLv3+).

PLATFORMS

The opm-autodiff module is designed to run on Linux platforms. It is also regularly run on Mac OS X. No efforts have been made to ensure that the code will compile and run on windows platforms.

REQUIREMENTS

opm-autodiff requires opm-core, and all its requirements (see opm-core/README). In addition, opm-autodiff requires Eigen, version 3.1 (has not been tested with later versions).

DOWNLOADING

For a read-only download: git clone git://github.com/OPM/opm-autodiff.git

If you want to contribute, fork OPM/opm-autodiff on github.

BUILDING

See build instructions in opm-core/README, or at http://opm-project.org/download.php.

DOCUMENTATION

Efforts have been made to document the code with Doxygen. In order to build the documentation, enter the command

make doc

in the topmost directory. The class AutoDiffBlock is the most important and most well-documented.

REPORTING ISSUES

Issues can be reported in the Git issue tracker online at:

https://github.com/OPM/opm-autodiff/issues

To help diagnose build errors, please provide a link to a build log together with the issue description.

You can capture such a log from the build using the `script' utility, e.g.:

LOGFILE=$(date +%Y%m%d-%H%M-)build.log ;
cmake -E cmake_echo_color --cyan --bold "Log file: $LOGFILE" ;
script -q $LOGFILE -c 'cmake ../opm-core -DCMAKE_BUILD_TYPE=Debug' &&
script -q $LOGFILE -a -c 'ionice nice make -j 4 -l 3' ||
cat CMakeCache.txt CMakeFiles/CMake*.log >> $LOGFILE

The resulting file can be uploaded to for instance gist.github.com.