bdf_method

scirs2_integrate::ode::methods

Function bdf_method 

Source 
pub fn bdf_method<F, Func>(
    f: Func,
    t_span: [F; 2],
    y0: Array1<F>,
    opts: ODEOptions<F>,
) -> IntegrateResult<ODEResult<F>>
where
    F: IntegrateFloat,
    Func: Fn(F, ArrayView1<'_, F>) -> Array1<F>,
Expand description

Solve ODE using the Backward Differentiation Formula (BDF) method

BDF is an implicit multistep method particularly suited for stiff problems. It is more computationally expensive per step than explicit methods but can take much larger steps for stiff problems, resulting in overall better performance for such systems.

§Arguments

  • f - ODE function dy/dt = f(t, y)
  • t_span - Time span [t_start, t_end]
  • y0 - Initial condition
  • opts - Solver options

§Returns

The solution as an ODEResult or an error