Software
FEM4MAX, by Dimitris Kamilis (2017).
Description: A vector finite element solver for simulating the low-frequency electric fields based on the time-harmonic Maxwell's equations at the quasi-magnetostatic regime. The software is written in Matlab and can handle 3D heterogeneous models with dipole electric sources and receivers in user-defined measurement protocols and sensor configurations. The software includes also algorithms for tomographic image reconstruction based on regularised nonlinear inversion to yield the 3D profile of electrical conductivity.
Please cite as: D. 'Kamilis, 'Uncertainty Quantification for low-frequency Maxwell equations with stochastic conductivity models', PhD Thesis, University of Edinburgh, 2018.