dual-numbers

There are 0 repository under dual-numbers topic.

• JuliaDiff / DualNumbers.jl

  Julia package for representing dual numbers and for performing dual algebra

  dual-numbersjulia
  Language:Julia 78

• muellan / numeric

  numeric facilities for C++ 14; dual numbers, dual quaternions, constrained numbers, intervals

  c-plus-pluscomplex-numberscppcpp14degreesdual-numbersdual-quaternionheader-onlyintervalnumericnumeric-facilitiesnumericsquaternionradians
  Language:C++ 23

• ssmit1986 / DualNumbers

  Implementation of dual numbers for automatic differentiation of programs

  dual-numbersmathematicadifferentiationdual-arrays
  Language:Mathematica 22

• ujjwalkhandelwal / Dual-numbers-and-automatic-differentiation-using-Python

  Implemented the forward mode of automatic differentiation with the help of dual numbers using Python.

  pythondifferentiationautomatic-differentiationdual-numbersfunctions
  Language:Jupyter Notebook 17
• HyperJet

  oberbichler / HyperJet

  Algorithmic differentiation with hyper-dual numbers in C++ and Python

  automatic-differentiationauto-differentiationautodiffautodifferentiationdifferentiationderivativesnumerical-derivationgradienthessiandual-numbersalgorithmic-differentiationhyper-dual-numbers
  Language:C++ 13

• djmaxus / autodj

  Automatic Differentiation Library

  automatic-differentiationcalculuscomputational-mathematicsderivativesgradientjacobianmathematicsdual-numbers
  Language:Rust 9

• tamnd / dual

  Go implementation of dual numbers.

  dual-numbers
  Language:Go 8

• ForceBru / Matches.jl

  Simple ML package that computes gradients without backpropagation

  dual-numbersjuliamachine-learningneural-network
  Language:Julia 6

• meirizarrygelpi / numbers

  A collection of packages that implement arithmetic for many number systems in Go.

  complex-numbersdual-numbersperplex-numbersquaternion
  Language:Go 6

• sdl1 / nabla

  Automatic differentiation in python using dual numbers.

  dual-numbersautomatic-differentiation
  Language:Python 5
• F1Method.jl

  briochemc / F1Method.jl

  F-1 method

  juliaoptimizationsolveriterative-methodsdual-numbershyperdual-numbersautodifferentiationsensitivity-analysismodelingoptimizerefficient
  Language:Julia 4

• kophy / autodiff

  Simple forward-mode automatic differentiation written in Rust.

  automatic-differentiationdual-numbers
  Language:Rust 4

• omaraflak / Automatic-Differentiation

  Simple automatic differentiation tool.

  autodiffautomatic-differentiationdual-numbers
  Language:C++ 3

• originalsouth / dual.h

  A small and simple header only dual number library (written in C++17)

  header-onlydual-numbersautomatic-differentiation
  Language:C++ 3
• rusty-chaos-craftor

  tomtuamnuq / rusty-chaos-craftor

  An interactive exploration tool for dynamics in chaotic systems.

  chaos-theorychaotic-dynamical-systemscomplex-numbersdual-numbersfractalsparticlesperplex-numbersquaternionssimulation
  Language:Rust 3

• wlad-svennik / laguerre_transformations

  A library for visualizing the mathematical transformations known as Laguerre transformations

  dual-numberseducationalgeometrylinear-fractional-transformationsmobius-transformations
  Language:Python 3

• 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

  autodiffautomatic-differentiationresearchdual-numbersplt
  Language:Python 3

• lucaferranti / ForwardModeAD

  forward mode automatic differentiation using dual numbers

  automatic-differentiationdual-numbersnumerics
  Language:Chapel 2

• meirizarrygelpi / Plexifications.jl

  Complexification, perplexification, and nilplexification in Julia

  complex-numbersbicomplex-numbersdual-numbersjuliamulticomplex-numbers
  Language:Julia 2

• batuwa / vyut

  A simple automatic differentiation library written in Go

  automatic-differentiationdual-numbersautodiffgolang
  Language:Go 1

• kaifishr / PyDualNumber

  Basic implementation of dual numbers in Python.

  autogradautomatic-differentiationdual-numbershypercomplex-numbermachine-learningmathematicspython
  Language:Python 1

• khizirsiddiqui / auto-grad

  Toy Automatic Differentiation Library

  automatic-differentiationneural-networkdual-numbers
  Language:Python 1

• 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.

  automatic-differentiationforward-propagationdual-numbers
  Language:Rust 1

• m-YoC / HTN

  Automatic forward-mode differential library. It calculates gradient vector and hessian matrix automatically.

  cppautomatic-differentiationforward-modedual-numbersgradienthessian
  Language:C++ 1

• weberBen / Automatic_differentiation

  Implementation of automatic differentiation (AD) in forward and backward modes with mathematical explanations

  automatic-differentiationcomputation-graphderivativesdifferentiationdirectional-derivativedual-numbersgradienthessianjacobianpartial-derivativepythonpython3scalar-fieldstaylor-series
  Language:Python 1

• 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

  automatic-differentiationdual-numberslearning-resources
  Language:C++ 0

• kaosmicadei / pyautoerror

  Implementation of propagation of uncertainty using dual numbers

  data-analysisdual-numbersautodifferror-propagation
  Language:Python 0

• nottug / go-gdual

  An Implementation of Generalized Dual Numbers

  automatic-differentiationcalculusdual-numbers
  Language:Go 0

• Serrof / swiftt

  SoftWare for Intrusive Function's Taylor-series Truncation (swiftt), a Pure Python library implementing the Taylor Differential Algebra

  automatic-differentiationdual-numbersjet-transportseries-reversiontaylor-expansion
  Language:Python 0

• Volksfest / LiLiKin

  Library for Line Kinematics

  dual-numberskinematicskinematics-modellinelinear-algebraplucker-coordinatesrobotics
  Language:C++ 0

• ZAARAOUI999 / hypermat

  Hyperelastic formulations using an algorithmic differentiation with hyper-dual numbers in Python.

  automatic-differentiationdual-numbersfinite-elementshyperdual-numbershyperelasticityalgorithmic-differentiation
  Language:Python 0

• afmika / auto-diff-playground

  Automatic differentiation playground

  algebraautodiffdifferentiationdual-numbershypercomplex-number
  Language:C++

• jacopotagliabue / Automatic-differentiation-with-dual-numbers

  A brief (and inaccurate) history of derivatives, with a brief (and incomplete) Python implementation

  autodifferentiationcalculusdual-numbersmlpython
  Language:Python

• kaosmicadei / AutoError

  Implementation of propagation of uncertainty using dual numbers

  autodiffdata-analysisdual-numberserror-propagation
  Language:Julia

• TimeTravelPenguin / DualNumbers

  A simple toy implementation of the Dual numbers

  dual-numbershaskellmathematics
  Language:Haskell

• xelfia / XELF.Numerics

  Experimental Math Codes under C# 7.2+

  csharp7-2dual-numbersquaterniondual-quaternion
  Language:C#