simpeg.base.BaseMagneticPDESimulation#

class simpeg.base.BaseMagneticPDESimulation(mesh, mu=1.25663706212e-06, muMap=None, mui=None, muiMap=None, **kwargs)[source]#

Bases: BasePDESimulation

Attributes

`Mcc`	Cell center inner product matrix.
`MccMu`	Cell center property inner product matrix.
`MccMuI`	Cell center property inner product inverse matrix.
`MccMui`	Cell center property inner product matrix.
`MccMuiI`	Cell center property inner product inverse matrix.
`Me`	Edge inner product matrix.
`MeI`	Edge inner product inverse matrix.
`MeMu`	Edge property inner product matrix.
`MeMuI`	Edge property inner product inverse matrix.
`MeMui`	Edge property inner product matrix.
`MeMuiI`	Edge property inner product inverse matrix.
`Mf`	Face inner product matrix.
`MfI`	Face inner product inverse matrix.
`MfMu`	Face property inner product matrix.
`MfMuI`	Face property inner product inverse matrix.
`MfMui`	Face property inner product matrix.
`MfMuiI`	Face property inner product inverse matrix.
`Mn`	Node inner product matrix.
`MnI`	Node inner product inverse matrix.
`MnMu`	Node property inner product matrix.
`MnMuI`	Node property inner product inverse matrix.
`MnMui`	Node property inner product matrix.
`MnMuiI`	Node property inner product inverse matrix.
`clean_on_model_update`	A list of solver objects to clean when the model is updated
`counter`	SimPEG `Counter` object to store iterations and run-times.
`deleteTheseOnModelUpdate`	HasModel.deleteTheseOnModelUpdate has been deprecated.
`mesh`	Mesh for the simulation.
`model`	The inversion model.
`mu`	Magnetic permeability (h/m) physical property model.
`muDeriv`	Derivative of Magnetic Permeability (H/m) wrt the model.
`muMap`	Mapping of the inversion model to Magnetic Permeability (H/m).
`mui`	Inverse magnetic permeability (m/h) physical property model.
`muiDeriv`	Derivative of Inverse Magnetic Permeability (m/H) wrt the model.
`muiMap`	Mapping of the inversion model to Inverse Magnetic Permeability (m/H).
`needs_model`	True if a model is necessary
`sensitivity_path`	Path to directory where sensitivity file is stored.
`solver`	Numerical solver used in the forward simulation.
`solver_opts`	Solver-specific parameters.
`survey`	The survey for the simulation.
`verbose`	Verbose progress printout.

MccI
Vol

Methods

`Jtvec`(m, v[, f])	Compute the Jacobian transpose times a vector for the model provided.
`Jtvec_approx`(m, v[, f])	Approximation of the Jacobian transpose times a vector for the model provided.
`Jvec`(m, v[, f])	Compute the Jacobian times a vector for the model provided.
`Jvec_approx`(m, v[, f])	Approximation of the Jacobian times a vector for the model provided.
`MccMuDeriv`(u[, v, adjoint])	Derivative of MccProperty with respect to the model.
`MccMuIDeriv`(u[, v, adjoint])	Derivative of MccPropertyI with respect to the model.
`MccMuiDeriv`(u[, v, adjoint])	Derivative of MccProperty with respect to the model.
`MccMuiIDeriv`(u[, v, adjoint])	Derivative of MccPropertyI with respect to the model.
`MeMuDeriv`(u[, v, adjoint])	Derivative of MeProperty with respect to the model.
`MeMuIDeriv`(u[, v, adjoint])	Derivative of MePropertyI with respect to the model.
`MeMuiDeriv`(u[, v, adjoint])	Derivative of MeProperty with respect to the model.
`MeMuiIDeriv`(u[, v, adjoint])	Derivative of MePropertyI with respect to the model.
`MfMuDeriv`(u[, v, adjoint])	Derivative of MfProperty with respect to the model.
`MfMuIDeriv`(u[, v, adjoint])	I Derivative of MfPropertyI with respect to the model.
`MfMuiDeriv`(u[, v, adjoint])	Derivative of MfProperty with respect to the model.
`MfMuiIDeriv`(u[, v, adjoint])	I Derivative of MfPropertyI with respect to the model.
`MnMuDeriv`(u[, v, adjoint])	Derivative of MnProperty with respect to the model.
`MnMuIDeriv`(u[, v, adjoint])	Derivative of MnPropertyI with respect to the model.
`MnMuiDeriv`(u[, v, adjoint])	Derivative of MnProperty with respect to the model.
`MnMuiIDeriv`(u[, v, adjoint])	Derivative of MnPropertyI with respect to the model.
`dpred`([m, f])	Predicted data for the model provided.
`fields`([m])	Return the computed geophysical fields for the model provided.
`make_synthetic_data`(m[, relative_error, ...])	Make synthetic data for the model and Gaussian noise provided.
`residual`(m, dobs[, f])	The data residual.