Uncertainty propagation with functionally correlated quantities
Mos\`e Giordano

TL;DR
This paper reviews strategies for propagating uncertainty among functionally correlated quantities and introduces a Julia software package, Measurements.jl, that supports this feature along with advanced mathematical operations.
Contribution
The paper presents a new Julia package, Measurements.jl, capable of handling uncertainty propagation with functional correlations, enhancing existing tools.
Findings
Supports real and complex numbers with uncertainty
Enables arbitrary-precision calculations
Handles mathematical and linear algebra operations
Abstract
Many uncertainty propagation software exist, written in different programming languages, but not all of them are able to handle functional correlation between quantities. In this paper we review one strategy to deal with uncertainty propagation of quantities that are functionally correlated, and introduce a new software offering this feature: the Julia package Measurements.jl. It supports real and complex numbers with uncertainty, arbitrary-precision calculations, mathematical and linear algebra operations with matrices and arrays.
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Taxonomy
TopicsAdvancements in PLL and VCO Technologies · Numerical Methods and Algorithms · Parallel Computing and Optimization Techniques
