From 40b2d2cdb728084afe5e6dc3c022bbc27a02ad40 Mon Sep 17 00:00:00 2001 From: jgillis Date: Mon, 19 Dec 2016 13:47:50 +0100 Subject: [PATCH] Update readme.md --- readme.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/readme.md b/readme.md index 9e360fc..319e241 100644 --- a/readme.md +++ b/readme.md @@ -119,7 +119,7 @@ OMG-tools is written in Python 2.7 and depends on the packages numpy, scipy and `sudo apt-get install python-numpy python-scipy python-matplotlib` -It uses [CasADi](http://casadi.org) as a framework for symbolic computations and interface to IPOPT, a software package for large-scale nonlinear optimization. For installation instructions regarding these software packages, the user is referred to the [CasADi installation page](http://install.casadi.org). The current implementation of this toolbox relies on CasADi 3.1. In the examples, we use the [HSL linear solvers](https://github.com/casadi/casadi/wiki/Obtaining-HSL), as they result in a much faster execution. +It uses [CasADi](http://casadi.org) as a framework for symbolic computations and interface to IPOPT, a software package for large-scale nonlinear optimization. The current implementation of this toolbox relies on CasADi 3.1, which can be obtained from its [install page](http://install31.casadi.org). In the examples, we use the [HSL linear solvers](https://github.com/casadi/casadi/wiki/Obtaining-HSL), as they result in a much faster execution. If you want to save your simulation results in Tikz-format, you need [matplotlib2tikz](https://github.com/nschloe/matplotlib2tikz).