simpeg.directives.ScalingMultipleDataMisfits_ByEig#

class simpeg.directives.ScalingMultipleDataMisfits_ByEig(chi0_ratio=None, n_pw_iter=4, seed=None, **kwargs)[source]#

Bases: InversionDirective

For multiple data misfits only: multiply each data misfit term by the inverse of its highest eigenvalue and then normalize the sum of the data misfit multipliers to one. The highest eigenvalue are estimated through power iterations and Rayleigh quotient.

Attributes

`chi0_ratio`	the estimated Alpha_smooth is multiplied by this ratio (int or array)
`debug`	verbose.debug has been deprecated.
`dmisfit`	Data misfit associated with the directive.
`invProb`	Inverse problem associated with the directive.
`inversion`	Inversion object associated with the directive.
`n_pw_iter`	Number of power iterations for estimation.
`opt`	Optimization algorithm associated with the directive.
`reg`	Regularization associated with the directive.
`seed`	Random seed to initialize with
`simulation`	Return simulation for all data misfits.
`survey`	Return survey for all data misfits
`verbose`	Whether or not to print debugging information.

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.
`validate`([directiveList])	Validate directive.

initialize

Galleries and Tutorials using `simpeg.directives.ScalingMultipleDataMisfits_ByEig`#

Petrophysically guided inversion: Joint linear example with nonlinear relationships

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

simpeg.directives.ScalingMultipleDataMisfits_ByEig#

Galleries and Tutorials using simpeg.directives.ScalingMultipleDataMisfits_ByEig#

Galleries and Tutorials using `simpeg.directives.ScalingMultipleDataMisfits_ByEig`#