There are 0 repository under dual-numbers topic.
Julia package for representing dual numbers and for performing dual algebra
numeric facilities for C++ 14; dual numbers, dual quaternions, constrained numbers, intervals
Implementation of dual numbers for automatic differentiation of programs
Implemented the forward mode of automatic differentiation with the help of dual numbers using Python.
Algorithmic differentiation with hyper-dual numbers in C++ and Python
Simple ML package that computes gradients without backpropagation
A collection of packages that implement arithmetic for many number systems in Go.
F-1 method
An interactive exploration tool for dynamics in chaotic systems.
Simple automatic differentiation tool.
A small and simple header only dual number library (written in C++17)
A library for visualizing the mathematical transformations known as Laguerre transformations
Shows that it is possible to implement reverse mode autodiff using a variation on the dual numbers called the codual numbers
Basic implementation of dual numbers in Python.
Toy Automatic Differentiation Library
forward mode automatic differentiation using dual numbers
Complexification, perplexification, and nilplexification in Julia
Implementation of automatic differentiation (AD) in forward and backward modes with mathematical explanations
Hyperelastic formulations using an algorithmic differentiation with hyper-dual numbers in Python.
Implementation of propagation of uncertainty using dual numbers
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 forward-mode differential library. It calculates gradient vector and hessian matrix automatically.
Simplified Dual number library in order to perform simple dual algebra. Written using C++ for the purpose of learning more about automatic differentiation
SoftWare for Intrusive Function's Taylor-series Truncation (swiftt), a Pure Python library implementing the Taylor Differential Algebra
A brief (and inaccurate) history of derivatives, with a brief (and incomplete) Python implementation
Implementation of propagation of uncertainty using dual numbers
Automatic differentiation playground
A simple toy implementation of the Dual numbers
Experimental Math Codes under C# 7.2+