simpeg.directives.JointScalingSchedule#

class simpeg.directives.JointScalingSchedule(warmingFactor=1.0, chimax=10000000000.0, chimin=1e-10, update_rate=1, **kwargs)[source]#

Bases: InversionDirective

For multiple data misfits only: rebalance each data misfit term during the inversion when some datasets are fit, and others not using the ratios of current misfits and their respective target. It implements the strategy described in https://doi.org/10.1093/gji/ggaa378.

Attributes

`chimax`	Maximum chi factor.
`chimin`	Minimum chi factor.
`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.
`mode`	The type of update to perform.
`opt`	Optimization algorithm associated with the directive.
`reg`	Regularization associated with the directive.
`simulation`	Return simulation for all data misfits.
`survey`	Return survey for all data misfits
`update_rate`	Will update the data misfit scalings after this many iterations.
`verbose`	Whether or not to print debugging information.
`warmingFactor`	Factor to adjust scaling of the data misfits by.

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.
`initialize`()	Initialize inversion parameter(s) according to directive.
`validate`([directiveList])	Validate directive.

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

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.JointScalingSchedule#

Galleries and Tutorials using simpeg.directives.JointScalingSchedule#

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