simpeg.directives.Update_IRLS#
- class simpeg.directives.Update_IRLS(max_irls_iterations=20, update_beta=True, beta_search=False, coolingFactor=2.0, coolingRate=1, **kwargs)[source]#
Bases:
InversionDirective
Attributes
Whether to do a beta search.
Beta is divided by this value every coolingRate iterations.
Cool after this number of iterations.
verbose.debug has been deprecated.
Data misfit associated with the directive.
Inverse problem associated with the directive.
Inversion object associated with the directive.
Maximum irls iterations.
Optimization algorithm associated with the directive.
Regularization associated with the directive.
Return simulation for all data misfits.
Return survey for all data misfits
Whether to update beta.
Whether or not to print debugging information.
beta_ratio_l2
start
target
Methods
Update the scales used by regularization for the different block of models
endIter
()Update inversion parameter(s) according to directive at end of iteration.
finish
()Update inversion parameter(s) according to directive at end of inversion.
Initialize inversion parameter(s) according to directive.
Check for stopping criteria of max_irls_iteration or minimum change.
validate
(directiveList)Validate directive.
start_irls
Galleries and Tutorials using simpeg.directives.Update_IRLS
#
PF: Gravity: Tiled Inversion Linear
Magnetic inversion on a TreeMesh
Magnetic inversion on a TreeMesh
Magnetic Amplitude inversion on a TreeMesh
PF: Gravity: Laguna del Maule Bouguer Gravity
Sparse Norm Inversion of Gravity Anomaly Data
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
Sparse Norm Inversion of 2D Seismic Tomography Data
Sparse Norm Inversion for Total Magnetic Intensity Data on a Tensor Mesh
Sparse 1D Inversion of Sounding Data
2.5D DC Resistivity Inversion with Sparse Norms