SimPEG.regularization.WeightedLeastSquares#
- class SimPEG.regularization.WeightedLeastSquares(mesh, active_cells=None, alpha_s=1.0, alpha_x=None, alpha_y=None, alpha_z=None, alpha_xx=0.0, alpha_yy=0.0, alpha_zz=0.0, length_scale_x=None, length_scale_y=None, length_scale_z=None, mapping=None, reference_model=None, reference_model_in_smooth=False, weights=None, **kwargs)[source]#
- Bases: - SimPEG.objective_function.ComboObjectiveFunction- Attributes - Indices of active cells in the mesh - smallness weight - weight for the first x-derivative - weight for the second x-derivative - weight for the first y-derivative - weight for the second y-derivative - weight for the first z-derivative - weight for the second z-derivative - active_cells.indActive has been deprecated. - Constant multiplier of the base length scale on model gradients along x. - Constant multiplier of the base length scale on model gradients along y. - Constant multiplier of the base length scale on model gradients along z. - Mapping applied to the model values - Physical property model - reference_model.mref has been deprecated. - Factors that multiply the objective functions that are summed together to build to composite regularization - number of model parameters - Reference physical property model - Use the reference model in the model gradient penalties. - Regularization mesh - Specify the model units. - cell_weights - Methods - remove_weights(key)- removes weights in children objective functions - set_weights(**weights)- Update weights in children objective functions 
Galleries and Tutorials using SimPEG.regularization.WeightedLeastSquares#
 
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
 
2.5D DC Resistivity and IP Least-Squares Inversion
 
Sparse Norm Inversion for Total Magnetic Intensity Data on a Tensor Mesh
 
Sparse Norm Inversion of 2D Seismic Tomography Data
 
1D Inversion of Time-Domain Data for a Single Sounding
 
Sparse Inversion with Iteratively Re-Weighted Least-Squares
 
Cross-gradient Joint Inversion of Gravity and Magnetic Anomaly Data
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
