Struct AdaptiveStrangSplitting 

pub struct AdaptiveStrangSplitting {
    pub g: f64,
    pub controller: PIController,
    pub max_retries: usize,
    /* private fields */
}

Adaptive Strang splitting with Lie-in-Strang embedded error estimation.

Compares Strang (2nd-order) and Lie (1st-order) results each step to estimate local error, then adapts dt via an internal PI controller.

Fields

g: f64

Gravitational constant G used in Poisson solves.

controller: PIController

PI controller that converts error estimates into timestep adjustments.

max_retries: usize

Maximum number of retry attempts per step before accepting.

Implementations

impl AdaptiveStrangSplitting

pub fn new(g: f64, tolerance: f64) -> Self

Create an adaptive integrator with the given gravitational constant and error tolerance.

The PI controller is initialised for a 2nd-order method. max_retries defaults to 5.

Trait Implementations

impl TimeIntegrator for AdaptiveStrangSplitting

fn advance( &mut self, repr: &mut dyn PhaseSpaceRepr, solver: &dyn PoissonSolver, advector: &dyn Advector, dt: f64, ) -> Result<StepProducts, CausticError>

Advance the simulation by one timestep Δt.

fn max_dt(&self, repr: &dyn PhaseSpaceRepr, cfl_factor: f64) -> f64

Compute the maximum stable Δt given current state and CFL constraints.

fn last_step_timings(&self) -> Option<&StepTimings>

Return timing breakdown from the most recent advance() call. Default returns None; instrumented integrators override this.

fn set_progress(&mut self, progress: Arc<StepProgress>)

Attach shared progress state for intra-step TUI visibility. Default is a no-op; integrators that support progress override this.

fn suggested_dt(&self) -> Option<f64>

Return a suggested Δt from the adaptive controller (if any). Default returns None; adaptive integrators override this.