mappy_ds.Mode.step#
- abstractmethod Mode.step(y0, params=None, *, jacobian=False, hessian=False, trajectory=False, param_keys=None, mixed_hessian=False)#
Evolve
y0through the mode.- Parameters:
- y0array_like
Initial state of length
dom_dim.- paramsmapping, optional
Parameters of the system.
- jacobianbool, optional
Compute the Jacobian matrix of the mode map.
- hessianbool, optional
Compute the Hessian tensor of the mode map (implies
jacobian).- trajectorybool, optional
Record the trajectory within the mode.
- param_keyssequence of str, optional
Compute the derivative of the mode map with respect to these parameters (
StepResult.jac_p, one column per key).- mixed_hessianbool, optional
Also compute the mixed second derivative
StepResult.hes_p(requiresparam_keys).
- Returns:
- StepResult