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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: 2.2-5
Depends: R (≥ 2.12)
Imports: bvls, Matrix, RSEIS, pracma, geigen, fields
Published: 2023-08-21
DOI: 10.32614/CRAN.package.PEIP
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_2.2-5.tar.gz
Windows binaries: r-devel: PEIP_2.2-5.zip, r-release: PEIP_2.2-5.zip, r-oldrel: PEIP_2.2-5.zip
macOS binaries: r-release (arm64): PEIP_2.2-5.tgz, r-oldrel (arm64): PEIP_2.2-5.tgz, r-release (x86_64): PEIP_2.2-5.tgz, r-oldrel (x86_64): PEIP_2.2-5.tgz
Old sources: PEIP archive

Reverse dependencies:

Reverse imports: RobustANOVA

Linking:

Please use the canonical form https://CRAN.R-project.org/package=PEIP to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.