JuliaPhysics / JuliaPhysics/Measurements.jl

Proposal: new types for independent measurements and dependent measurements

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enhancement
Dominant language
Julia
Stars
536
Forks
42
PR merge metrics
No merged PRs in 30d

Description

We could make Measurement type abstract, and define two concrete types, IndependentMeasurement and DependentMeasurement (the latter may be an abuse of language but gives the idea):

abstract Measurement{T<:AbstractFloat} <: AbstractFloat

immutable IndependentMeasurement{T<:AbstractFloat} <: Measurement{T}
    val::T
    err::T
    tag::Float64
end

immutable DependentMeasurement{T<:AbstractFloat} <: Measurement{T}
    val::T
    err::T
    der::Derivatives{Tuple{T, T, Float64}, T}
end

measurement function would create IndependentMeasurement objects, while result function in src/math.jl would create DependentMeasurement objects. This function could have a specialized method for IndependentMeasurement only arguments, which could be fairly efficient.

Ideally, there would not be user-visible changes, apart from performance improvements.

I'm not sure this proposal will actually improve performance, I'm leaving this as a memo for me open for discussion.

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Research direction

Start by reading the proposed Measurement, IndependentMeasurement, and DependentMeasurement definitions, then inspect src/math.jl and the measurement and result entry points. Determine whether the separation can preserve user-visible behavior and improve performance; the work is done only if the design is agreed and those effects are demonstrated.

Written by the indexing model from the issue text.

Assessment

Tech stack
julia
Domain
backend, performance
Issue type
Refactor
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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