Struct Dds 

pub struct Dds {
    pub r: f64,
    pub seed: u64,
}

DDS configuration.

Fields

r: f64

Neighborhood perturbation size, as a fraction of each variable’s range. The paper’s robust default is 0.2.

seed: u64

RNG seed; same seed + same problem + same budget ⇒ same result.

Implementations

impl Dds

pub fn optimize_from( &self, problem: &dyn Problem, term: &Termination, init: Option<&[f64]>, ) -> Report

Like optimize but with an explicit starting point.

Panics

If the problem is invalid (see crate::problem::validate) or init has the wrong length — a shape mismatch is a caller bug that must not be silently papered over with a random start.

Trait Implementations

impl Clone for Dds

fn clone(&self) -> Dds

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Copy for Dds

impl Debug for Dds

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

Formats the value using the given formatter.

impl Default for Dds

fn default() -> Self

Returns the “default value” for a type.

impl Optimizer for Dds

fn optimize(&self, problem: &dyn Problem, term: &Termination) -> Report

Minimizes problem within its bounds using DDS, starting from a uniform random point.

fn with_seed(&self, seed: u64) -> Self

Returns the same configuration with its RNG seed replaced.