Julia package for representing dual numbers and for performing dual algebra
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Updated
Nov 10, 2024 - Julia
Julia package for representing dual numbers and for performing dual algebra
Implementation of dual numbers for automatic differentiation of programs
numeric facilities for C++ 14; dual numbers, dual quaternions, constrained numbers, intervals
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
Automatic Differentiation Library
Simple ML package that computes gradients without backpropagation
A collection of packages that implement arithmetic for many number systems in Go.
Automatic differentiation in python using dual numbers.
An interactive exploration tool for dynamics in chaotic systems.
F-1 method
Shows that it is possible to implement reverse mode autodiff using a variation on the dual numbers called the codual numbers
A library for visualizing the mathematical transformations known as Laguerre transformations
Simple automatic differentiation tool.
A small and simple header only dual number library (written in C++17)
Simple forward-mode automatic differentiation written in Rust.
forward mode automatic differentiation using dual numbers
Toy Automatic Differentiation Library
Hyperelastic formulations using an algorithmic differentiation with hyper-dual numbers in Python.
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