Struct RankAdaptiveController

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pub struct RankAdaptiveController {
    pub tolerance: f64,
    pub rank_budget: usize,
    pub min_tolerance: f64,
    pub max_tolerance: f64,
    pub conservation_tight: f64,
    pub conservation_loose: f64,
    pub tighten_factor: f64,
    pub loosen_factor: f64,
    pub current_max_rank: usize,
    pub budget_saturated: bool,
    pub truncation_errors: Vec<f64>,
    pub conservation_errors: Vec<(f64, f64, f64)>,
}

Expand description

Adaptive rank controller for HT tensor truncation.

Fields§

§tolerance: f64

Current truncation tolerance.

§rank_budget: usize

Maximum allowed rank (memory budget).

§min_tolerance: f64

Minimum allowed tolerance (accuracy floor).

§max_tolerance: f64

Maximum allowed tolerance (compression ceiling).

§conservation_tight: f64

Conservation error threshold above which rank increases.

§conservation_loose: f64

Conservation error threshold below which rank can decrease.

§tighten_factor: f64

Factor by which to tighten tolerance when conservation fails.

§loosen_factor: f64

Factor by which to loosen tolerance when over-resolving.

§current_max_rank: usize

Current observed maximum rank across all HT nodes.

§budget_saturated: bool

Whether rank budget has been hit (budget-driven mode).

§truncation_errors: Vec<f64>

History of truncation errors for monitoring.

§conservation_errors: Vec<(f64, f64, f64)>

History of conservation errors for monitoring.

Implementations§

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impl RankAdaptiveController

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pub fn new(rank_budget: usize) -> Self

Create with default parameters suitable for gravitational dynamics.

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pub fn with_thresholds( rank_budget: usize, initial_tolerance: f64, conservation_tight: f64, conservation_loose: f64, ) -> Self

Create with custom conservation thresholds.

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pub fn update( &mut self, mass_error: f64, momentum_error: f64, energy_error: f64, max_rank: usize, truncation_error: f64, ) -> f64

Update the controller after a time step, given conservation errors.

Returns the new truncation tolerance to use for the next step.

§Arguments

mass_error - |ΔM/M| relative mass conservation error
momentum_error - |ΔP/P| relative momentum conservation error
energy_error - |ΔE/E| relative energy conservation error
max_rank - maximum rank observed across all HT nodes after truncation
truncation_error - Frobenius norm error from the last truncation

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pub fn should_increase_budget(&self) -> bool

Recommend whether to increase the rank budget (for checkpoint-and-refine).

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pub fn summary(&self) -> RankAdaptiveSummary

Get summary statistics for diagnostics.

Auto Trait Implementations§

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impl UnwindSafe for RankAdaptiveController

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