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

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

2.5D DC Resistivity and IP Least-Squares Inversion

Compare weighting strategy with Inversion of surface Gravity Anomaly Data

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

Sparse Inversion with Iteratively Re-Weighted Least-Squares

Sparse Norm Inversion of 2D Seismic Tomography 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

Cross-gradient Joint Inversion of Gravity and Magnetic Anomaly Data