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Home Linux Gplib++ Download

Gplib++

September 24, 2009
This software provides a collection of C++ classes and programs designed to analyze and model geophysical data. It offers a comprehensive library of tools for data processing, visualization, and interpretation in geophysics.
License GPL
Platform Linux
Supported Languages English
Homepage gplib.sourceforge.net
Developed by Max Moorkamp
I recently had the pleasure of exploring Gplib++, a powerful library of programs and C++ classes designed for analyzing and modeling geophysical data. While it is still in the early stages of development, Gplib++ offers a promising first glance into what will become an invaluable tool for geoscientists.

One caveat: documentation is currently sparse, so any contributions to help improve it are appreciated. That being said, the team behind Gplib++ is dedicated to providing a more comprehensive and properly documented version in the near future.

One of the standout features of Gplib++ is its genetic algorithm joint inversion code. The code was detailed in a 2007 paper by Moorkamp, Jones, and Eaton, where they demonstrated the ability to jointly invert teleseismic receiver functions and magnetotelluric data using a genetic algorithm. The use of this code will undoubtedly offer users an invaluable resource for their geophysical data analysis.

To use Gplib++, several requirements need to be met before installation. These requirements include ANTLR 2.7.1, ATLAS 3.6.0, FFTW 3.1.2, LAPACK 3.1.1, NetCDF 3.6.2, SCons 0.97, and The Boost Libraries 1.33.1. Once these requirements are met, users will be able to take full advantage of Gplib++’s capabilities.

All in all, Gplib++ is an incredibly promising library of programs and C++ classes designed for geophysical data analysis. While still in development, it already boasts impressive features that will undoubtedly be of use to many geoscientists. As documentation improves and new features are added, Gplib++ will almost certainly become an indispensable tool for anyone working with geophysical data.
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