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
#
PF: Gravity: Tiled Inversion Linear
Magnetic inversion on a TreeMesh
Magnetic inversion on a TreeMesh
Magnetic Amplitude inversion on a TreeMesh
3D DC inversion of Dipole Dipole array
Parametric DC inversion with Dipole Dipole array
2D inversion of Loop-Loop EM Data
EM: TDEM: 1D: Inversion with VTEM waveform
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
Heagy et al., 2017 1D FDEM and TDEM inversions
PF: Gravity: Laguna del Maule Bouguer Gravity
Straight Ray with Volume Data Misfit Term
Least-Squares Inversion of Gravity Anomaly Data
Sparse Norm Inversion of Gravity 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
Linear Least-Squares Inversion
Sparse Inversion with Iteratively Re-Weighted Least-Squares
1D Inversion of for a Single Sounding
1D Inversion of Time-Domain Data for a Single Sounding
2.5D DC Resistivity and IP Least-Squares Inversion
3D Least-Squares Inversion of DC and IP Data
Sparse Norm Inversion of 2D Seismic Tomography Data
Cross-gradient Joint Inversion of Gravity and Magnetic Anomaly Data
Sparse Norm Inversion for Total Magnetic Intensity Data on a Tensor Mesh
Least-Squares 1D Inversion of Sounding Data
Sparse 1D Inversion of Sounding Data
Parametric 1D Inversion of Sounding Data
2.5D DC Resistivity Least-Squares Inversion
2.5D DC Resistivity Inversion with Sparse Norms
3D Least-Squares Inversion of DC Resistivity Data