Dimensional analysis and error propagation packages to make science easier.
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Updated
Jun 15, 2019 - Mathematica
Error (or uncertainty) propagation is the practice of analyzing and accounting for the effect of numeric quantities' uncertainties on the results of functions that involve them.
When variables used in a function or mathematical operation have errors (due to measurement uncertainties, random fluctuations, sample variance, etc.), error propagation can be used to determine the resulting error of the function's output.
Dimensional analysis and error propagation packages to make science easier.
Propagation of uncertainty calculator. It can export and import a session for later usage.
Lightweight automatic differentiation and error propagation library
Propagate error in an equation symbolically
Calculating values with error intervals
When determining equilibrium constants of multi-substrate / multi-product reactions, their ratios affect the uncertainty of the result.
The source code used in the B.Sc Thesis: "Experimental study of swirl flow and heat transfer in concentric cylinders with tangential inlet flow". A summary of this work's results was presented at the Proceedings of the 10th IC-SCCE, held in Athens during 6th-9th July 2022.
Biblioteca usada pela graduação do IFSC para os laboratórios de física
A project to investigate the impact of broken dipole antennas in the Murchison Widefield Array and its ability to detect the 21-cm Power Spectrum.
Python package for uncertainty calculations and error propagation.
My portfolio of algorithms I used to analysize various shapes and forms of data with statistical and machine learning tools.
Set of R functions designed to perform and report uncertainty propagation
Generates a 2D heatmap of error given any function, for use in IB Physics IA/EEs.
A typesafe RPC framework with compile-time error checking.
Implementation of propagation of uncertainty using dual numbers
Error analysis - Daedalus mission - Atmospheric physics
Uncertainty or Standard Error of Mean propagation using Delta and Monte Carlo methods
Measurements.jl compatibility layer for UnitSystems.jl