simpeg.directives.PairedBetaEstimate_ByEig#
- class simpeg.directives.PairedBetaEstimate_ByEig(inversion=None, dmisfit=None, reg=None, verbose=False, **kwargs)[source]#
Bases:
InversionDirective
Estimate the trade-off parameter, beta, between pairs of data misfit(s) and the regularization(s) as a multiple of the ratio between the highest eigenvalue of the data misfit term and the highest eigenvalue of the regularization. The highest eigenvalues are estimated through power iterations and Rayleigh quotient.
Attributes
verbose.debug has been deprecated.
Data misfit associated with the directive.
Inverse problem associated with the directive.
Inversion object associated with the directive.
Optimization algorithm associated with the directive.
Regularization associated with the directive.
Return simulation for all data misfits.
Return survey for all data misfits
Whether or not to print debugging information.
seed
Methods
endIter
()Update inversion parameter(s) according to directive at end of iteration.
finish
()Update inversion parameter(s) according to directive at end of inversion.
The initial beta is calculated by comparing the estimated eigenvalues of \(J^T J\) and \(W^T W\).
validate
([directiveList])Validate directive.
Notes
This class assumes the order of the data misfits for each model parameter match the order for the respective regularizations, i.e.
>>> data_misfits = [phi_d_m1, phi_d_m2, phi_d_m3] >>> regs = [phi_m_m1, phi_m_m2, phi_m_m3]
In which case it will estimate regularization parameters for each respective pair.
Galleries and Tutorials using simpeg.directives.PairedBetaEstimate_ByEig
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Cross-gradient Joint Inversion of Gravity and Magnetic Anomaly Data