rhs()#
- _InterpolatedModel.rhs(parameter, *args, **kwargs)#
Evaluate the right-hand side of the model by applying each operator and summing the results.
This is the function \(\Ophat(\qhat, \u; \bfmu)\) where the model can be written as one of the following:
\(\ddt\qhat(t; \bfmu) = \Ophat(\qhat(t; \bfmu), \u(t); \bfmu)\) (continuous time)
\(\qhat_{j+1}(\bfmu) = \Ophat(\qhat_j(\bfmu), \u_j; \bfmu)\) (discrete time)
\(\hat{\mathbf{g}} = \Ophat(\qhat(\bmfu), \u; \bfmu)\) (steady state)
- Parameters
- parameter(p,) ndarray
Parameter value \(\bfmu\).
- args
Positional arguments to
ModelClass.rhs()
.- kwargs
Keyword arguments to
ModelClass.rhs()
.
- Returns
- evaluation(r,) ndarray
Evaluation of the right-hand side of the model.
Notes
For repeated
rhs()
calls with the same parameter value, useevaluate()
to first get the nonparametric model corresponding to the parameter value.