SimPEG.meta.MultiprocessingRepeatedSimulation.Jvec_approx#
- MultiprocessingRepeatedSimulation.Jvec_approx(m, v, f=None)[source]#
Approximation of the Jacobian times a vector for the model provided.
The Jacobian defines the derivative of the predicted data vector with respect to the model parameters. For a data vector
predicted for a set of model parameters , the Jacobian is an(n_data, n_param)
matrix whose elements are given by:For a model m and vector v, the
Jvec_approx
method approximates the matrix-vector product:- Parameters:
- m(
n_param
, )numpy.ndarray
The model parameters.
- v(
n_data
, )numpy.ndarray
Vector we are multiplying.
- f
SimPEG.field.Fields
,optional
If provided, fields will not need to be recomputed for the current model to compute Jtvec.
- m(
- Returns:
- (
n_param
, )numpy.ndarray
Approximation of the Jacobian times a vector for the model provided.
- (