dual-numbers
There are 36 repositories under dual-numbers topic.
JuliaDiff/DualNumbers.jl
Julia package for representing dual numbers and for performing dual algebra
muellan/numeric
numeric facilities for C++ 14; dual numbers, dual quaternions, constrained numbers, intervals
ssmit1986/DualNumbers
Implementation of dual numbers for automatic differentiation of programs
ujjwalkhandelwal/Dual-numbers-and-automatic-differentiation-using-Python
Implemented the forward mode of automatic differentiation with the help of dual numbers using Python.
oberbichler/HyperJet
Algorithmic differentiation with hyper-dual numbers in C++ and Python
djmaxus/autodj
Automatic Differentiation Library
tamnd/dual
Go implementation of dual numbers.
ForceBru/Matches.jl
Simple ML package that computes gradients without backpropagation
meirizarrygelpi/numbers
A collection of packages that implement arithmetic for many number systems in Go.
sdl1/nabla
Automatic differentiation in python using dual numbers.
briochemc/F1Method.jl
F-1 method
tomtuamnuq/rusty-chaos-craftor
An interactive exploration tool for dynamics in chaotic systems.
kophy/autodiff
Simple forward-mode automatic differentiation written in Rust.
lucaferranti/ForwardModeAD
forward mode automatic differentiation using dual numbers
omaraflak/Automatic-Differentiation
Simple automatic differentiation tool.
originalsouth/dual.h
A small and simple header only dual number library (written in C++17)
wlad-svennik/laguerre_transformations
A library for visualizing the mathematical transformations known as Laguerre transformations
wlad-svennik/memoized_coduals
Shows that it is possible to implement reverse mode autodiff using a variation on the dual numbers called the codual numbers
kaifishr/PyDualNumber
Basic implementation of dual numbers in Python.
khizirsiddiqui/auto-grad
Toy Automatic Differentiation Library
meirizarrygelpi/Plexifications.jl
Complexification, perplexification, and nilplexification in Julia
weberBen/Automatic_differentiation
Implementation of automatic differentiation (AD) in forward and backward modes with mathematical explanations
ZAARAOUI999/hypermat
Hyperelastic formulations using an algorithmic differentiation with hyper-dual numbers in Python.
batuwa/vyut
A simple automatic differentiation library written in Go
kaosmicadei/pyautoerror
Implementation of propagation of uncertainty using dual numbers
krtab/fwd_ad
Fwd:AD is a Rust library (crate) to perform forward auto-differentiation, with a focus on empowering its user to manage memory location and minimize copying. This repo is a mirror of https://gitlab.inria.fr/InBio/Public/fwd_ad.
m-YoC/HTN
Automatic forward-mode differential library. It calculates gradient vector and hessian matrix automatically.
JulesBa-Git/DualNumber
Simplified Dual number library in order to perform simple dual algebra. Written using C++ for the purpose of learning more about automatic differentiation
nottug/go-gdual
An Implementation of Generalized Dual Numbers
Serrof/swiftt
SoftWare for Intrusive Function's Taylor-series Truncation (swiftt), a Pure Python library implementing the Taylor Differential Algebra
Volksfest/LiLiKin
Library for Line Kinematics
jacopotagliabue/Automatic-differentiation-with-dual-numbers
A brief (and inaccurate) history of derivatives, with a brief (and incomplete) Python implementation
kaosmicadei/AutoError
Implementation of propagation of uncertainty using dual numbers
michael-0acf4/auto-diff-playground
Automatic differentiation playground
TimeTravelPenguin/DualNumbers
A simple toy implementation of the Dual numbers
xelfia/XELF.Numerics
Experimental Math Codes under C# 7.2+