From 0a78ee794f7a93314299908df01239b044bae872 Mon Sep 17 00:00:00 2001 From: Alexander Penev Date: Wed, 27 Nov 2019 14:48:53 +0200 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index bd6ef93e5..d678a7cb8 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ | Linux & OSX: | Coverity | Codecov | |:---:|:---:|:---:| -[![Linux & Osx Status](http://img.shields.io/travis/vgvassilev/clad.svg?style=flat-square)](https://travis-ci.org/vgvassilev/clad) | Coverity Scan Build Status | [![codecov][codecov-badge]][codecov-link] | +[![Linux & Osx Status](http://img.shields.io/travis/vgvassilev/clad.svg?style=flat-square)](https://travis-ci.org/vgvassilev/clad) | Coverity Scan Build Status | [![codecov]( https://codecov.io/gh/vgvassilev/clad/branch/master/graph/badge.svg)](https://codecov.io/gh/vgvassilev/clad) # Clad Clad enables [automatic differentiation (AD)](https://en.wikipedia.org/wiki/Automatic_differentiation) for C++. It is based on LLVM compiler infrastructure and is a plugin for [Clang compiler](http://clang.llvm.org/). Clad is based on source code transformation. Given C++ source code of a mathematical function, it can automatically generate C++ code for computing derivatives of the function. It supports both forward-mode and reverse-mode AD.