Glossary#

BERT #: Boundless electrical resistivity tomography
FEniCS #: The FEniCSx computing platform.
GCC #: The GNU Compiler Collection (GCC). Default compiler for most linux systems. The Windows port is MinGW
Gmsh #: Gmsh: a three-dimensional finite element mesh generator with built-in pre- and post-processing facilities [Geuzaine and Remacle, 2009]. See: pygimli.meshtools.mesh.readGmsh()
IPython #: An improved Python shell that integrates nicely with Matplotlib.
Matplotlib #: A Python package displays publication quality results.
MinGW #: MinGW, a contraction of “Minimalist GNU for Windows”, is a minimalist development environment for native Microsoft Windows applications.
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.
NumPy #: The fundamental package for scientific computing in Python.
Paraview #: Is an open-source, multi-platform data analysis and visualization application.
pyGIMLi #: Geophysical inversion and modelling library.
Python #: The programming language that pyGIMLi (and our scripts) are written in.
PyVista #: 3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).
SciPy #: Scientific Computing Tools for Python.
Sphinx #: A documentation engine written in Python.
STL #: Unstructured triangulated surface file format native to the “stereolithography” CAD software created by 3D Systems.
SuiteSparse #: SuiteSparse is a single archive that contains packages for solving large sparse problems using Sparse Cholesky factorization.
Triangle #: A Two-Dimensional Quality Mesh Generator and Delaunay Triangulator. [Shewchuk, 1996]
Tetgen #: A Quality Tetrahedral Mesh Generator and a 3D Delaunay Triangulator. [Si, 2015]
Umfpack #: A set of routines for solving unsymmetric sparse linear systems using the Unsymmetric MultiFrontal method [Davis, 2004].