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: | 2.2-1 |
Depends: | R (≥ 2.12) |
Imports: | bvls, Matrix, RSEIS, pracma, geigen, fields |
Published: | 2018-01-18 |
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 |
Reference manual: | PEIP.pdf |
Package source: | PEIP_2.2-1.tar.gz |
Windows binaries: | r-devel: PEIP_2.2-1.zip, r-release: PEIP_2.2-1.zip, r-oldrel: PEIP_2.2-1.zip |
macOS binaries: | r-release: PEIP_2.2-1.tgz, r-oldrel: PEIP_2.2-1.tgz |
Old sources: | PEIP archive |
Please use the canonical form https://CRAN.R-project.org/package=PEIP to link to this page.