Struct rgsl::types::ordinary_differential_equations::ODEiv2StepType

pub struct ODEiv2StepType { /* fields omitted */ }

Methods

impl ODEiv2StepType

pub fn rk2() -> ODEiv2StepType

Explicit embedded Runge-Kutta (2, 3) method.

pub fn rk4() -> ODEiv2StepType

Explicit 4th order (classical) Runge-Kutta. Error estimation is carried out by the step doubling method. For more efficient estimate of the error, use the embedded methods described below.

pub fn rk45() -> ODEiv2StepType

Explicit embedded Runge-Kutta-Fehlberg (4, 5) method. This method is a good general-purpose integrator.

pub fn rkck() -> ODEiv2StepType

Explicit embedded Runge-Kutta Cash-Karp (4, 5) method.

pub fn rk8pd() -> ODEiv2StepType

Explicit embedded Runge-Kutta Prince-Dormand (8, 9) method.

pub fn rk1imp() -> ODEiv2StepType

Implicit Gaussian first order Runge-Kutta. Also known as implicit Euler or backward Euler method. Error estimation is carried out by the step doubling method. This algorithm requires the Jacobian and access to the driver object via gsl_odeiv2_step_set_driver.

pub fn rk2imp() -> ODEiv2StepType

Implicit Gaussian second order Runge-Kutta. Also known as implicit mid-point rule. Error estimation is carried out by the step doubling method. This stepper requires the Jacobian and access to the driver object via gsl_odeiv2_step_set_driver.

pub fn rk4imp() -> ODEiv2StepType

Implicit Gaussian 4th order Runge-Kutta. Error estimation is carried out by the step doubling method. This algorithm requires the Jacobian and access to the driver object via gsl_odeiv2_step_set_driver.

pub fn bsimp() -> ODEiv2StepType

Implicit Bulirsch-Stoer method of Bader and Deuflhard. The method is generally suitable for stiff problems. This stepper requires the Jacobian.

pub fn msadams() -> ODEiv2StepType

A variable-coefficient linear multistep Adams method in Nordsieck form. This stepper uses explicit Adams-Bashforth (predictor) and implicit Adams-Moulton (corrector) methods in P(EC)^m functional iteration mode. Method order varies dynamically between 1 and 12. This stepper requires the access to the driver object via gsl_odeiv2_step_set_driver.

pub fn msbdf() -> ODEiv2StepType

A variable-coefficient linear multistep backward differentiation formula (BDF) method in Nordsieck form. This stepper uses the explicit BDF formula as predictor and implicit BDF formula as corrector. A modified Newton iteration method is used to solve the system of non-linear equations. Method order varies dynamically between 1 and 5. The method is generally suitable for stiff problems. This stepper requires the Jacobian and the access to the driver object via gsl_odeiv2_step_set_driver.

Trait Implementations

impl Clone for ODEiv2StepType

fn clone(&self) -> ODEiv2StepType

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Copy for ODEiv2StepType