brainpy.integrators.fde.base.FDEIntegrator

class brainpy.integrators.fde.base.FDEIntegrator(f, alpha, num_step, dt=None, name=None, state_delays=None)

Numerical integrator for fractional differential equations (FEDs).

Parameters

• f (callable) – The derivative function.

• alpha (int, float, jnp.ndarray, bm.ndarray, sequence) – The fractional-order of the derivative function.

• dt (float, int) – The numerical precision.

• name (str) – The integrator name.

__init__(f, alpha, num_step, dt=None, name=None, state_delays=None)

Methods

__init__(f, alpha, num_step[, dt, name, ...])
load_states(filename[, verbose])	Load the model states.
nodes([method, level, include_self])	Collect all children nodes.
register_implicit_nodes(nodes)
register_implicit_vars(variables)
save_states(filename[, variables])	Save the model states.
set_integral(f)	Set the integral function.
train_vars([method, level, include_self])	The shortcut for retrieving all trainable variables.
unique_name([name, type_])	Get the unique name for this object.
vars([method, level, include_self])	Collect all variables in this node and the children nodes.

Attributes

arg_names
arguments	All arguments when calling the numer integrator of the differential equation.
dt	The fraction derivative function.
integral	The integral function.
name
parameters	The parameters defined in the differential equation.
state_delays	State delays.
variables	The variables defined in the differential equation.
alpha	The numerical integration precision.
f