Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.
-
Updated
Nov 15, 2024 - Python
#
Error Propagation
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.
Here are 45 public repositories matching this topic...
Error propagation calculator and library for physical measurements. It supports real and complex numbers with uncertainty, arbitrary precision calculations, operations with arrays, and numerical integration.
julia physics linear-algebra arbitrary-precision complex-numbers multiprecision physical-quantities uncertainty-propagation error-propagation numerical-integration uncertainties
-
Updated
Nov 18, 2024 - Julia
Propagation of distributions by Monte-Carlo sampling: Real number types with uncertainty represented by samples.
monte-carlo particle-filter gpu-acceleration monte-carlo-simulation probability-distributions robust-optimization gpu-computing physical-quantities uncertainty-propagation error-propagation numeric-types uncertainties monte-carlo-sampling error-analysis uncertainty-sampling
-
Updated
Dec 20, 2024 - Julia
Uncertainty Propagation for R Vectors
-
Updated
Aug 1, 2024 - R
Numerical derivatives for Python
-
Updated
Dec 16, 2024 - Jupyter Notebook
pure Julia package for optimal histogram binning, based on piecewise constant model.
-
Updated
Nov 18, 2022 - Julia
Error propagation and statistical analysis for Monte Carlo simulations in lattice QCD and statistical mechanics using autograd.
python correlation physics monte-carlo automatic-differentiation markov-chain autograd statistical-mechanics statistical-analysis data-analysis autocorrelation qcd particle-physics condensed-matter error-propagation lattice-field-theory lattice-qcd
-
Updated
Dec 18, 2024 - Python
Tools for uncertainty propagation and measurement unit conversion — Outils pour la propagation des incertitudes et la conversion d'unités de mesure
jupyter ipython python3 uncertainty unit-conversion curve-fitting unit-converter monte-carlo-simulation uncertainty-propagation error-propagation metrology uncertainties uncertainty-analysis uncertainty-visualisation
-
Updated
May 24, 2022 - Python
A package for handling numeric quantities with asymmetric uncertainties.
-
Updated
Jan 11, 2024 - Jupyter Notebook
A typesafe RPC framework with compile-time error checking.
-
Updated
Apr 29, 2024 - TypeScript
C++ header library for first- and second-order uncertainty propagation
-
Updated
Aug 28, 2022 - C++
Error propagation with covariant variables
-
Updated
Apr 21, 2019 - Julia
Helper pack for core.async
-
Updated
Jul 5, 2024 - Clojure
Toolkit for studying numerical analysis and floating point algebra round-off
metaprogramming polynomials floating-point error-propagation numerical-analysis ieee754 error-analysis floating-point-arithmetic
-
Updated
Feb 16, 2024 - Julia
Odometric Position Estimation and Error Propagation using error elipses
-
Updated
Jun 4, 2024 - MATLAB
Biblioteca usada pela graduação do IFSC para os laboratórios de física
-
Updated
Feb 13, 2024 - Python
Python package for uncertainty calculations and error propagation.
-
Updated
Oct 14, 2022 - Python
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.
heat-transfer error-propagation matlab-toolbox experimental-physics swirling-flow single-sample-uncertainty-analysis
-
Updated
Nov 9, 2023 - TeX