simpeg.optimization.Bounded#
- class simpeg.optimization.Bounded(*, lower, upper=None, **kwargs)[source]#
- Bases: - object- Mixin class for bounded minimizers - Parameters:
- lower, upperfloatornumpy.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
 
     
 
 
 
 
 
 
 
