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MinimaArgs

pounce_cli::cli

Struct MinimaArgs 

Source 
pub struct MinimaArgs {
Show 29 fields
    pub method: Method,
    pub n_minima: usize,
    pub max_solves: Option<usize>,
    pub patience: usize,
    pub dedup: f64,
    pub psd_tol: f64,
    pub kkt_tol: Option<f64>,
    pub seed: u64,
    pub sobol: bool,
    pub sigma: Option<f64>,
    pub sigma_frac: Option<f64>,
    pub amplitude: Option<f64>,
    pub amp_margin: Option<f64>,
    pub eta: Option<f64>,
    pub power: Option<f64>,
    pub soft: Option<f64>,
    pub length: Option<f64>,
    pub length_frac: Option<f64>,
    pub gamma: Option<f64>,
    pub samples_per_round: Option<usize>,
    pub step: Option<f64>,
    pub temperature: Option<f64>,
    pub restart_jitter: Option<f64>,
    pub sigma_per_dim: Option<Vec<f64>>,
    pub length_per_dim: Option<Vec<f64>>,
    pub max_samples: Option<usize>,
    pub amp_bump: Option<f64>,
    pub amp_bump_cap: Option<f64>,
    pub amp_fallback: Option<f64>,

}
Expand description

Parsed --minima configuration. Shared knobs have concrete defaults; strategy-specific knobs are Options resolved per-method in the driver (so "auto" widths and curvature-based amplitudes match pounce.find_minima). Field semantics mirror _minima.py exactly.

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§method: Method§n_minima: usize

Target: stop once this many distinct minima are found (default 10).

§max_solves: Option<usize>

Budget: hard cap on solver calls (default 8 * n_minima).

§patience: usize

Give-up: stop after this many solves in a row that find nothing new.

§dedup: f64

Two minima within this scaled distance are the same (default 1e-4).

§psd_tol: f64

Smallest Hessian eigenvalue tolerated by saddle rejection (1e-6).

§kkt_tol: Option<f64>

Reject a converged solve whose unscaled dual infeasibility exceeds kkt_tol · max(1, max|∇f(x0)|, dual_scale) (gh#983; default 1e-4). None (--kkt-tol none) disables the check.

§seed: u64

Seed for the sampler / Sobol’ scramble (default 0; reproducible).

§sobol: bool

Use a scrambled Sobol’ sequence for box sampling (default true).

§sigma: Option<f64>§sigma_frac: Option<f64>§amplitude: Option<f64>§amp_margin: Option<f64>§eta: Option<f64>§power: Option<f64>§soft: Option<f64>§length: Option<f64>§length_frac: Option<f64>§gamma: Option<f64>§samples_per_round: Option<usize>§step: Option<f64>§temperature: Option<f64>§restart_jitter: Option<f64>§sigma_per_dim: Option<Vec<f64>>

Per-dimension flooding widths; takes precedence over sigma.

§length_per_dim: Option<Vec<f64>>

Per-dimension deflation / tunneling lengths; takes precedence over length.

§max_samples: Option<usize>

MLSL sample cap (default max_solves * samples_per_round).

§amp_bump: Option<f64>

Flooding: factor a basin’s bump grows by on a failed escape (3).

§amp_bump_cap: Option<f64>

Flooding: cap on that growth (1e3).

§amp_fallback: Option<f64>

Flooding: bump height when no Hessian gives a curvature-based one (2).

Implementations§

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impl MinimaOptions

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pub fn max_solves_or_default(&self) -> usize

The solve budget: max_solves, or 8 * n_minima when unset.

Trait Implementations§

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impl Clone for MinimaOptions

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fn clone(&self) -> MinimaOptions

Returns a duplicate of the value. Read more
1.0.0 (const: unstable) · Source§

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

Performs copy-assignment from source. Read more
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impl Debug for MinimaOptions

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fn fmt(&self, f: &mut Formatter<'_>) -> Result<(), Error>

Formats the value using the given formatter. Read more
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impl Default for MinimaOptions

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fn default() -> MinimaOptions

Returns the “default value” for a type. Read more

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