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 Inversion with Iteratively Re-Weighted Least-Squares
 
2.5D DC Resistivity and IP Least-Squares Inversion
 
1D Inversion of Time-Domain Data for a Single Sounding
 
Sparse Norm Inversion of 2D Seismic Tomography Data
 
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
 
     
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
