What is it about?
An important intermediate step in performing nonlinear least squares of frequency-domain EM data is computation of the sensitivity matrix. It can be done by a slow approximation approach, but I have presented MATLAB code for an analytical solution which is 100% accurate and faster than the approximation method.
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Why is it important?
Analytical solution is the end of search for improving on accuracy of numerical method. Additionally, speed of the analytical approach is higher than that of the approximate approach. In fact, the speed gain increases as the number of parameters for the inversion increases.
Perspectives
The usual scenario in research is a "trade-off" between speed and accuracy; meaning you cannot have your cake and eat it. I consider this article, that gives a software for computation of analytical sensitivity matrix of frequency-EM data, to present two-fold benefits of speed and accuracy gain. The open software should foster development in other areas of geoscience so we can all have our cakes and eat them at the same time.
Jide Ogunbo
Read the Original
This page is a summary of: Computation of analytical sensitivity matrix for the frequency-domain EM data: MATLAB code, Computers & Geosciences, August 2018, Elsevier,
DOI: 10.1016/j.cageo.2018.05.003.
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