Import Katoptron from Waves

This first MR imports the code from the old waves repository.

README.md

-# waves
-Waves is a collection of general utilities and finite element tools for solving various PDE. The code is written in C++ interfaced in python through SWIG, and is developed at the University of Liège.
+# Katoptron
 
-![](/dox/img.png)
+Themomechanical Finite Element solver based on [Trilinos](https://trilinos.github.io/) from Kim Liegeois's Phd thesis.
 
-## Features
-Set of python/C++ modules:
-  - [katoptron](/katoptron): 3D(Hex8 and Tetra4) linear thermomechanical equations with contact (FEM)
-  - [tlnos](/tlnos): basic Trilinos examples
+This code was previously part of [waves](https://gitlab.uliege.be/am-dept/waves).
 
-Additional features:
-  - [x] [Gmsh](http://geuz.org/gmsh/) support for mesh and post-processing
-  - [x] [VTK](http://www.vtk.org/)/[PyQt](https://riverbankcomputing.com/software/pyqt/intro) support for post processing and basic GUI
-  - [x] [OpenBLAS](http://www.openblas.net/) or [Intel MKL](https://software.intel.com/en-us/intel-mkl) support
-  - [x] [Eigen3](http://eigen.tuxfamily.org/index.php?title=Main_Page) support for linear algebra
-     - [Intel Pardiso](https://software.intel.com/content/www/us/en/develop/documentation/mkl-developer-reference-c/top/sparse-solver-routines/intel-mkl-pardiso-parallel-direct-sparse-solver-interface/pardiso.html) support
-     - [MUMPS](http://mumps.enseeiht.fr/) support
-  - [x] [TBB](https://www.threadingbuildingblocks.org/) support for multithreading
-  - [x] [mpi4py](https://bitbucket.org/mpi4py/mpi4py) support for parallelization
-  - [x] [Trilinos](https://trilinos.github.io/) support (for some modules)
-
-## Build
-
-Detailed build instructions can be found in the [wiki](https://gitlab.uliege.be/am-dept/waves/wikis/home).
-
-## References
-
-Liegeois Kim, [GMRES with embedded ensemble propagation for the efficient solution of parametric linear systems in uncertainty quantification of computational models with application to the thermomechanical simulation of an ITER front mirror](http://hdl.handle.net/2268/249334), University of Liège, 2020.
+### References
+Liegeois K., [GMRES with embedded ensemble propagation for the efficient solution of parametric linear systems in uncertainty quantification of computational models with application to the thermomechanical simulation of an ITER front mirror](http://hdl.handle.net/2268/249334), University of Liège, 2020.
 
 Liegeois K., Boman R., Phipps E., Wiesner T., and Arnst M., [GMRES with embedded ensemble propagation for the efficient solution of parametric linear systems in uncertainty quantification of computational models](http://hdl.handle.net/2268/248201), Computer Methods in Applied Mechanics and Engineering, Vol. 369, 2020.