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. Includes a wrapper for the FORTRAN based 'LSQR' (Paige and Saunders) routine.

Version: 2.0-1
Depends: R (≥ 2.12)
Imports: bvls, Matrix, RSEIS, pracma
Published: 2015-06-11
Author: Jonathan M. Lees
Maintainer: Jonathan M. Lees <jonathan.lees at unc.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: PEIP results

Downloads:

Reference manual: PEIP.pdf
Package source: PEIP_2.0-1.tar.gz
Windows binaries: r-devel: PEIP_2.0-1.zip, r-release: PEIP_2.0-1.zip, r-oldrel: PEIP_2.0-1.zip
OS X Snow Leopard binaries: r-release: PEIP_2.0-1.tgz, r-oldrel: PEIP_1.7.tgz
OS X Mavericks binaries: r-release: PEIP_2.0-1.tgz
Old sources: PEIP archive