simpeg.optimization.Remember#
- class simpeg.optimization.Remember[source]#
Bases:
objectThis 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