Glossary#

GCC#: The GNU Compiler Collection (GCC). Default compiler for most linux systems. The Windows port is MinGW See: http://gcc.gnu.org/
GIMLi#: The eponymous software package. See About pyGIMLi
pyGIMLi#: The eponymous software package (python bindings). See About pyGIMLi
libGIMLi#: The eponymous software package (c++ core). See About pyGIMLi
FEniCS#: The FEniCSx computing platform. https://fenicsproject.org/
Gmsh#: Gmsh: a three-dimensional finite element mesh generator with built-in pre- and post-processing facilities [Geuzaine and Remacle, 2009] http://gmsh.info/. See: pygimli.meshtools.mesh.readGmsh()
BERT#: Boundless electrical resistivity tomography http://www.resistivity.net/
IPython#: An improved Python shell that integrates nicely with Matplotlib. See http://ipython.org/.
Matplotlib#: Matplotlib Python package displays publication quality results. It displays both 1D X-Y type plots and 2D contour plots for structured and unstructured data. It works on all common platforms and produces publication quality hard copies. http://matplotlib.org
MinGW#: MinGW, a contraction of “Minimalist GNU for Windows”, is a minimalist development environment for native Microsoft Windows applications. See: http://www.mingw.org/
MSYS#: MSYS, a contraction of “Minimal SYStem”, is a Bourne Shell command line interpreter system. Offered as an alternative to Microsoft’s cmd.exe, this provides a general purpose command line environment, which is particularly suited to use with MinGW, for porting of many Open Source applications to the MS-Windows platform. See: http://www.mingw.org/
NumPy#: NumPy is the fundamental package for scientific computing in Python. It is a Python library that provides a multidimensional array object and various functionalities related to it. https://docs.scipy.org/doc/numpy/
Paraview#: Is an open-source, multi-platform data analysis and visualization application. See: http://paraview.org/
Python#: The programming language that pyGIMLi (and your scripts) are written in. See: https://www.python.org/
Pylab#: Meta-package importing several core packages such as NumPy, SciPy, Matplotlib, etc. into a single namespace. This is usually not recommended due to possible name conflicts but provides a quick way to get MATLAB-like functionality.
PyVista#: 3D visualization tool based on VTK: https://www.pyvista.org
SciPy#: Scientific Computing Tools for Python - Open-source library with many numerical routines but the term is often used as a synonym for the scientific python community, several conferences, and the SciPy Stack, i.e. a set of core packages. https://scipy.org/about.html
Sphinx#: The tools used to generate the GIMLi documentation. See: http://sphinx-doc.org
STL#: Unstructured triangulated surface file format native to the “stereolithography” CAD software created by 3D Systems. https://en.wikipedia.org/wiki/STL_%28file_format%29
SuiteSparse#: SuiteSparse is a single archive that contains packages for solving large sparse problems using Sparse Cholesky factorization. http://faculty.cse.tamu.edu/davis/suitesparse.html
Triangle#: A Two-Dimensional Quality Mesh Generator and Delaunay Triangulator. [Shewchuk, 1996] http://www.cs.cmu.edu/~quake/triangle.html See: pygimli.meshtools.mesh.readTriangle()
Tetgen#: A Quality Tetrahedral Mesh Generator and a 3D Delaunay Triangulator. [Si, 2015] http://tetgen.org/ See: pygimli.meshtools.mesh.readTetgen()