pybop.problems.multi_fitting_problem#

Classes#

Problem class for joining mulitple fitting problems into one combined fitting problem.

class pybop.problems.multi_fitting_problem.MultiFittingProblem(*args)[source]#

Problem class for joining mulitple fitting problems into one combined fitting problem.

Extends BaseProblem in a similar way to FittingProblem but for multiple parameter estimation problems, which must first be defined individually.

evaluate(inputs: pybop.parameters.parameter.Inputs, eis=False)[source]#

Evaluate the model with the given parameters and return the signal.

Parameters:: inputs (Inputs) – Parameters for evaluation of the model.
Returns:: y – The model output y(t) simulated with given inputs.
Return type:: np.ndarray

evaluateS1(inputs: pybop.parameters.parameter.Inputs)[source]#

Evaluate the model with the given parameters and return the signal and its derivatives.

Parameters:: inputs (Inputs) – Parameters for evaluation of the model.
Returns:: A tuple containing the simulation result y(t) as a dictionary and the sensitivities dy/dx(t) evaluated with given inputs.
Return type:: tuple[dict, np.ndarray]

set_initial_state(initial_state: dict | None = None)[source]#

Set the initial state to be applied to evaluations of the problem.

Parameters:: initial_state (dict, optional) – A valid initial state (default: None).