simpeg.optimization.Bounded#
- class simpeg.optimization.Bounded(*, lower, upper=None, **kwargs)[source]#
Bases:
objectMixin class for bounded minimizers
- Parameters:
- lower, upper
floatornumpy.ndarray,optional The lower and upper bounds.
- lower, upper
Attributes
Methods
activeSet(x)If we are on a bound
bindingSet(x)If we are on a bound and the negative gradient points away from the feasible set.
inactiveSet(x)The free variables.
projection(x)Make sure we are feasible.
Galleries and Tutorials using simpeg.optimization.Bounded#
Method of Equivalent Sources for Removing VRM Responses
Petrophysically guided inversion (PGI): Linear example
Petrophysically guided inversion: Joint linear example with nonlinear relationships
Sparse Inversion with Iteratively Re-Weighted Least-Squares
2.5D DC Resistivity and IP Least-Squares Inversion
1D Inversion of Time-Domain Data for a Single Sounding
Sparse Norm Inversion of 2D Seismic Tomography Data
Cross-gradient Joint Inversion of Gravity and Magnetic Anomaly Data
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