SimPEG.simulation.LinearSimulation#
- class SimPEG.simulation.LinearSimulation(mesh=None, linear_model=None, model_map=None, G=None, **kwargs)[source]#
Bases:
SimPEG.simulation.BaseSimulationClass for a linear simulation of the form
\[d = Gm\]where \(d\) is a vector of the data, G is the simulation matrix and \(m\) is the model. Inherit this class to build a linear simulation.
Attributes
The model for a linear problem physical property model.
Derivative of The model for a linear problem wrt the model.
Mapping of the inversion model to The model for a linear problem.
G
Methods
Jtvec(m, v[, f])Jtv = Jtvec(m, v, f=None) Effect of transpose of J(m) on a vector v.
Jvec(m, v[, f])Jv = Jvec(m, v, f=None) Effect of J(m) on a vector v.
dpred(m[, f])Create the projected data from a model.
fields(m)u = fields(m) The field given the model.
getJ
Galleries and Tutorials using SimPEG.simulation.LinearSimulation#
Petrophysically guided inversion (PGI): Linear example
Petrophysically guided inversion: Joint linear example with nonlinear relationships
Forward Simulation of Gravity Anomaly Data on a Tensor Mesh
Forward Simulation of Gradiometry Data on a Tree Mesh
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
Forward Simulation of Total Magnetic Intensity Data
Forward Simulation of Gradiometry Data for Magnetic Vector Models
Sparse Norm Inversion for Total Magnetic Intensity Data on a Tensor Mesh
Forward Simulation for Straight Ray Tomography in 2D
Sparse Norm Inversion of 2D Seismic Tomography Data
Sparse Inversion with Iteratively Re-Weighted Least-Squares
Cross-gradient Joint Inversion of Gravity and Magnetic Anomaly Data