simpeg.electromagnetics.time_domain.Simulation3DMagneticField.getAdcDeriv#
- Simulation3DMagneticField.getAdcDeriv(u, v, adjoint=False)[source]#
- Derivative operation for the DC resistivity system matrix times a vector. - The discrete solution to the 3D DC resistivity problem is expressed as: \[\mathbf{A_{dc}}\boldsymbol{\phi_0} = \mathbf{q_{dc}}\]- where \(\mathbf{A_{dc}}\) is the DC resistivity system matrix, \(\boldsymbol{\phi_0}\) is the discrete solution for the electric potentials at the initial time, and \(\mathbf{q_{dc}}\) is the galvanic source term. For a vector \(\mathbf{v}\), this method assumes the discrete solution is fixed and returns \[\frac{\partial (\mathbf{A_{dc}}\boldsymbol{\phi_0})}{\partial \mathbf{m}} \, \mathbf{v}\]- Or the adjoint operation \[\frac{\partial (\mathbf{A_{dc}}\boldsymbol{\phi_0})}{\partial \mathbf{m}}^T \, \mathbf{v}\]- Parameters:
- u(n_cells,) numpy.ndarray
- The solution for the fields for the current model; i.e. electric potentials at cell centers. 
- vnumpy.ndarray
- The vector. (n_param,) for the standard operation. (n_cells,) for the adjoint operation. 
- adjointbool
- Whether to perform the adjoint operation. 
 
- u(n_cells,) 
- Returns:
- numpy.ndarray
- Derivative of the DC resistivity system matrix times a vector. (n_cells,) for the standard operation. (n_param,) for the adjoint operation. 
 
 
