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.ComboObjectiveFunctionAttributes
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