From 4d7da420d560821a9d51fd997099fac11b64a55e Mon Sep 17 00:00:00 2001 From: Rob J Goedman Date: Wed, 4 Jul 2018 08:44:15 -0600 Subject: [PATCH] Updated README --- README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 797b0c4..2e37491 100644 --- a/README.md +++ b/README.md @@ -6,7 +6,8 @@ [![codecov](https://codecov.io/gh/JuliaDiff/HyperDualNumbers.jl/branch/master/graph/badge.svg)](https://codecov.io/gh/JuliaDiff/HyperDualNumbers.jl?branch=master) Unix/OSX: [![Travis Build Status](https://travis-ci.org/JuliaDiff/HyperDualNumbers.jl.svg?branch=master)](https://travis-ci.org/JuliaDiff/HyperDualNumbers.jl) -, Windows(64bit): [![Build status](https://ci.appveyor.com/api/projects/status/github/JuliaDiff/HyperDualNumbers.jl?branch=master)](https://ci.appveyor.com/project/JuliaDiff/HyperDualNumbers-jl) + +Windows(64bit): [![Build status](https://ci.appveyor.com/api/projects/status/github/JuliaDiff/HyperDualNumbers.jl?branch=master)](https://ci.appveyor.com/project/JuliaDiff/HyperDualNumbers-jl) Hyper-dual numbers can be used to compute first and second derivatives numerically without the cancellation errors of finite-differencing schemes. This Julia implementation is directly based on the C++ implementation by Jeffrey Fike and Juan J Alonso, both of Stanford University, department of Aeronautics and Astronautics and is described in the paper: