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.

Geophysical Inverse Theory and Optimization

package-ubuntu-20.04-r-4.0.5#cran#PEIP-2.2-3

<table summary="R argblock">
<tr valign="top">
<td><code>x</code></td>
<td>
value

</td>
</tr>
<tr valign="top">
<td><code>n</code></td>
<td>
degrees of freedom

</td>
</tr>
</table>

Jonathan M. Lees&lt;jonathan.lees@unc.edu&gt;

Aster, R.C., C.H. Thurber, and B. Borchers,
Parameter Estimation and Inverse Problems, Elsevier Academic Press, Amsterdam, 2005.

x = seq(0, 10, length=100)
n = 5
y=chi(x, n)
plot(x, y)

package-ubuntu-20.04-r-4.0.5#cran#PEIP-2.2-3#docs#chi

chi

Description

Usage

Arguments

Value

Author(s)

References

Examples

PEIP

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