simpeg.optimization.Remember#
- class simpeg.optimization.Remember[source]#
Bases:
object
This mixin remembers all the things you tend to forget.
You can remember parameters directly, naming the str in Minimize, or pass a tuple with the name and the function that takes Minimize.
For Example:
opt.remember('f',('norm_g', lambda M: np.linalg.norm(M.g))) opt.minimize(evalFunction, x0) opt.recall('f')
The param name (str) can also be located in the parent (if no conflicts), and it will be looked up by default.
Methods
recall
remember
Galleries and Tutorials using simpeg.optimization.Remember
#

Method of Equivalent Sources for Removing VRM Responses

Petrophysically guided inversion (PGI): Linear example

Petrophysically guided inversion: Joint linear example with nonlinear relationships

Heagy et al., 2017 1D RESOLVE and SkyTEM Bookpurnong Inversions

Heagy et al., 2017 1D RESOLVE Bookpurnong Inversion

Sparse Norm Inversion for Total Magnetic Intensity Data on a Tensor Mesh

Cross-gradient Joint Inversion of Gravity and Magnetic Anomaly Data

Joint PGI of Gravity + Magnetic on an Octree mesh using full petrophysical information

Joint PGI of Gravity + Magnetic on an Octree mesh without petrophysical information

Sparse Norm Inversion of 2D Seismic Tomography Data

Sparse Inversion with Iteratively Re-Weighted Least-Squares

1D Inversion of Time-Domain Data for a Single Sounding

2.5D DC Resistivity and IP Least-Squares Inversion