GIMLi is an open-source multi-method library for solving inverse<sec:about_gimli_inversion> and forward<sec:about_gimli_modelling> modelling tasks.

What GIMLi is good for?:

• creating inversion applications (C++) and scripts (Python) for existing modules
• add your own forward calculations and build a robust inversion quickly
• combining different geophysical methods in various ways
• doing modelling of different PDEs

What GIMLi is NOT good for?:

• for people that expect a ready-made GUI for interpreting their data

What do you need to use GIMLi?:

• either the source code and some time to build the system or binaries
• preferrably Python with numpy and matplotlib, or a C++ compiler

One main task of GIMli is to carry out inversion, i.e. error-weighted minimization, for given forward routines and data. Various types of regularization on meshes (1D,2D,3D) with regular or irregular arrangement are available. There is a flexible control of all inversion parameters.

Please see inversion tutorial<tut:inversion> for examples and more details.

Currently there is a Finite Element Framework for solving partial differential equations (PDE)

• 1D, 2D, 3D discretizations
• linear and quadratic shape functions (automatic shape function generator for possible higher order)
• Triangle, Quads, Tetrahedron, Prism and Hexahedron, mixed meshes
• solver for elliptic problems (Helmholtz-type PDE)

Please see modelling tutorial<tut:modelling> for examples and more details.