pub trait Operator {
    type Param;
    type Output;

    fn apply(&self, param: &Self::Param) -> Result<Self::Output, Error>;

    fn bulk_apply<'a, P>(
        params: &'a [P]
    ) -> Result<Vec<Self::Output>, Error>
        P: Borrow<Self::Param> + SyncAlias,
        Self::Output: SendAlias,
        Self: SyncAlias
, { ... } fn parallelize(&self) -> bool { ... } }
Expand description

Defines the application of an operator to a parameter vector.


use argmin::core::{Operator, Error};
use argmin_math::ArgminDot;

struct Model {
    matrix: Vec<Vec<f64>>,

impl Operator for Model {
    type Param = Vec<f64>;
    type Output = Vec<f64>;

    /// Multiply matrix `self.matrix` with vector `param`
    fn apply(&self, param: &Self::Param) -> Result<Self::Output, Error> {

Required Associated Types

Type of the parameter vector

Type of the return value of the operator

Required Methods

Applies the operator to parameters

Provided Methods

Compute apply in bulk. If the rayon feature is enabled, multiple calls to apply will be run in parallel using rayon, otherwise they will execute sequentially. If the rayon feature is enabled, parallelization can still be turned off by overwriting parallelize to return false. This can be useful in cases where it is preferable to parallelize only certain parts. Note that even if parallelize is set to false, the parameter vectors and the problem are still required to be Send and Sync. Those bounds are linked to the rayon feature. This method can be overwritten.

Indicates whether to parallelize calls to apply when using bulk_apply. By default returns true, but can be set manually to false if needed. This allows users to turn off parallelization for certain traits implemented on their problem. Note that parallelization requires the rayon feature to be enabled, otherwise calls to apply will be executed sequentially independent of how parallelize is set.