PEIP: Geophysical Inverse Theory and Optimization

Several functions introduced in Aster et al.'s book on inverse theory. The functions are often translations of MATLAB code developed by the authors to illustrate concepts of inverse theory as applied to geophysics. Generalized inversion, tomographic inversion algorithms (conjugate gradients, 'ART' and 'SIRT'), non-linear least squares, first and second order Tikhonov regularization, roughness constraints, and procedures for estimating smoothing parameters are included.

Version: 2.2-3
Depends: R (≥ 2.12)
Imports: bvls, Matrix, RSEIS, pracma, geigen, fields
Published: 2020-08-29
Author: Jonathan M. Lees [aut, cre]
Maintainer: Jonathan M. Lees <jonathan.lees at unc.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: PEIP results

Documentation:

Reference manual: PEIP.pdf

Downloads:

Package source: PEIP_2.2-3.tar.gz
Windows binaries: r-devel: PEIP_2.2-3.zip, r-release: PEIP_2.2-3.zip, r-oldrel: PEIP_2.2-3.zip
macOS binaries: r-release (arm64): PEIP_2.2-3.tgz, r-oldrel (arm64): PEIP_2.2-3.tgz, r-release (x86_64): PEIP_2.2-3.tgz, r-oldrel (x86_64): PEIP_2.2-3.tgz
Old sources: PEIP archive

Linking:

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