brainpy.integrators.fde.base.FDEIntegrator#

class brainpy.integrators.fde.base.FDEIntegrator(f, alpha, num_memory, dt=None, name=None, state_delays=None)[source]#

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_memory, dt=None, name=None, state_delays=None)[source]#

Methods

__init__(f, alpha, num_memory[, dt, name, ...])

load_states(filename[, verbose])

Load the model states.

nodes([method, level, include_self])

Collect all children nodes.

register_implicit_nodes(*nodes, **named_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

arguments

All arguments when calling the numer integrator of the differential equation.

dt

The fraction derivative function.

integral

The integral function.

name

Name of the model.

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