rAKA/9d1b388c8329features/eigen
features/eigen vs master
Commit | Author | Details | Committed | ||||
---|---|---|---|---|---|---|---|
e4f4b4301b4c | richart | [wip] More UInt to auto, Int or Idx and Eigen stuffs | Jul 24 2020 | ||||
abb548e403bf | richart | [wip] Adding remove and replace in tuple tools | Jul 24 2020 | ||||
696ed398c6d5 | richart | [WIP] UInt to auto, Idx or Int | Mar 4 2020 | ||||
402398de44d1 | richart | [WIP] constexpr to help using static size matrices | Mar 3 2020 | ||||
60bfe3d5ac6f | richart | [WIP] tuples and sfinea to the rescue | Mar 3 2020 | ||||
d67989954fb3 | richart | [WIP] some UInt to Idx and another small step in the Eigen rabbit hole | Feb 28 2020 | ||||
27807e752edb | richart | [WIP] UInt to Int and auto everything | Feb 20 2020 | ||||
7a8c1fb7e22d | richart | [WIP] passing the material laws to eigen | Feb 11 2020 | ||||
2f16d294c030 | richart | adding static make_view | Feb 11 2020 | ||||
ef66d4ea0110 | richart | [WIP] making iterator work with eigen types and started to make akantu eigen… | Feb 7 2020 |
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README.md
Akantu: Swiss-Made Open-Source Finite-Element Library
Akantu means a little element in Kinyarwanda, a Bantu language. From now on it is also an open- source object-oriented library which has the ambi- tion to be generic and efficient.
Building Akantu
Dependencies
In order to compile Akantu any compiler supporting fully C++14 should work. In addition some libraries are required:
- CMake (>= 3.5.1)
- Boost (preprocessor and Spirit)
- zlib
- blas/lapack
For the python interface:
- Python (>=3 is recommended)
- pybind11 (if not present the build system will try to download it)
To run parallel simulations:
- MPI
- Scotch
To use the static or implicit dynamic solvers at least one of the following libraries is needed:
- MUMPS (since this is usually compiled in static you also need MUMPS dependencies)
- PETSc
To compile the tests and examples:
- Gmsh
- google-test (if not present the build system will try to download it)
On .deb based systems
sh > sudo apt install cmake libboost-dev zlib1g-dev liblapack-dev libblas-dev gmsh # For parallel > sudo apt install mpi-default-dev libmumps-dev # For sequential > sudo apt install libmumps-seq-dev
Configuring and compilation
Akantu is a CMake project, so to configure it, you can follow the usual way:
sh > cd akantu > mkdir build > cd build > ccmake .. [ Set the options that you need ] > make > make install
Using the python interface
You can install `Akantu` using pip, this will install a pre-compiled version:
sh > pip install akantu
You can then import the package in a python script as:
python import akantu
The python API is similar to the C++ one. If you encounter any problem with the python interface, you are welcome to do a merge request or post an issue on GitLab.
Tutorials with the python interface
To help getting started, multiple tutorials using the python interface are available as notebooks with pre-installed version of Akantu on Binder. The following tutorials are currently available: