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ObservableReduction

eqiora::kernel

Enum ObservableReduction 

pub enum ObservableReduction {
    Value,
    RandomVariable {
        distribution: Id<Relation>,
    },
    ProbabilityMoment {
        distribution: Id<Relation>,
        moment: ProbabilityMoment,
    },
    SpatialIntegral {
        input: Id<Domain>,
        domain: Id<Domain>,
        measure: ObservableMeasure,
        limits: Option<[ExprId; 2]>,
    },
}
Description

Reduction meaning, independent of mesh and quadrature policy.

Variants§

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Value

An instantaneous value on its declared output support.

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RandomVariable

A function on a probability law, not an observed draw or an expectation.

Fields

§distribution: Id<Relation>

Exact probability law supplying the outcome context.

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ProbabilityMoment

A population moment of the retained random-variable expression(s).

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§distribution: Id<Relation>

Exact law being integrated; never an ensemble membership identifier.

§moment: ProbabilityMoment

Mathematical moment, independent of a sampling estimator.

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SpatialIntegral

An integral over exactly one declared spatial Domain.

Fields

§input: Id<Domain>

Input support of the density, before the selected factors are removed.

§domain: Id<Domain>

Volume or boundary Domain to integrate over.

§measure: ObservableMeasure

Measure must agree with the selected Domain kind.

§limits: Option<[ExprId; 2]>

Optional lower and upper mathematical limits, as nodes in the density DAG. Absence selects the complete fixed Domain.

Implementations§

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impl ObservableReduction

Signature links:§ObservableReduction

pub const fn limits(self) -> Option<[ExprId; 2]>

Signature links:limitsOptionExprId2

Lower and upper limit expressions in the retained Observable DAG, if explicit.

pub const fn input_domain(self) -> Option<Id<Domain>>

Signature links:input_domainOptionIdDomain

Density input Domain, if this is an integral.

pub const fn domain(self) -> Option<Id<Domain>>

Signature links:domainOptionIdDomain

Integration Domain, if present.

pub const fn distribution(self) -> Option<Id<Relation>>

Signature links:distributionOptionIdRelation

Probability law binding the random variable or population moment, if any.

Trait Implementations§

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impl Clone for ObservableReduction

Signature links:§CloneObservableReduction
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fn clone(&self) -> ObservableReduction

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

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

Signature links:unstableSource§clone_from
Performs copy-assignment from source. Read more
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impl Debug for ObservableReduction

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

Signature links:§fmtFormatterResult()Error
Formats the value using the given formatter. Read more
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impl PartialEq for ObservableReduction

Signature links:§PartialEqObservableReduction
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fn eq(&self, other: &ObservableReduction) -> bool

Signature links:§eqObservableReductionbool
Tests for self and other values to be equal, and is used by ==.
1.0.0 (const: unstable) · Source§

fn ne(&self, other: &Rhs) -> bool

Signature links:unstableSource§ne&Rhsbool
Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.
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impl Copy for ObservableReduction

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impl Eq for ObservableReduction

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impl StructuralPartialEq for ObservableReduction

Auto Trait Implementations§

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impl<T> Any for T
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impl<Src, Scheme> ApproxFrom<Src, Scheme> for Src
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type Err = NoError

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The error type produced by a failed conversion.
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fn approx_from(src: Src) -> Result<Src, <Src as ApproxFrom<Src, Scheme>>::Err>

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Convert the given value into an approximately equivalent representation.
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The error type produced by a failed conversion.
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fn approx_into(self) -> Result<Dst, <Src as ApproxInto<Dst, Scheme>>::Err>

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Convert the subject into an approximately equivalent representation.
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unsafe fn clone_to_uninit(&self, dest: *mut u8)

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🔬This is a nightly-only experimental API. (clone_to_uninit)
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fn approx(self) -> Result<Dst, Self::Err>
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Approximate the subject with the default scheme.
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fn rand<T>(&self, rng: &mut (impl Rng + ?Sized)) -> T
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fn equivalent(&self, key: &K) -> bool

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