Commit 0b3d21e1 authored by Malte Heithoff's avatar Malte Heithoff

Fix Instructions

parent 53e34b64
Pipeline #392907 failed with stage
in 1 minute and 8 seconds
......@@ -38,16 +38,14 @@ Create a environment variable called _Armadillo_Home_ with the path to the base
* For conversion between _Armadillo_-matrix/cube and _OpenCV_-matrix/cube it exists a helper-header _ConvHelper.h_. This is generated automatically if at least one CV-command is used.
* For more information about how to use CV-Command, see the _BallTracking_-project in the application repository.
### Install Loop Solver Code Generation
## Install Loop Solver Code Generation
## [Odeint](http://headmyshoulder.github.io/odeint-v2/)
# Install
### [Odeint](http://headmyshoulder.github.io/odeint-v2/)
* Download the header only library Boost [here](https://www.boost.org/)
* Extract the library to a destination of your choice (e.g. `C:\lib`)
* Add the environment variable `BOOST_HOME` with the library as value (e.g. `C:\lib\boost`)
## [DAECPP](https://github.com/ikorotkin/dae-cpp)
# Install
### [DAECPP](https://github.com/ikorotkin/dae-cpp)
* Follow the steps described [here](https://github.com/ikorotkin/dae-cpp#installation) to install the
[Intel Math Kernel Library](https://software.intel.com/content/www/us/en/develop/tools/oneapi/components/onemkl.html)
version `2019.3`
......@@ -62,7 +60,7 @@ Create a environment variable called _Armadillo_Home_ with the path to the base
* e.g. `cmake .. -DCMAKE_INSTALL_PREFIX=C:/lib/dae-cpp/`
* Add the environment variable `DAECPP_HOME` with value `$installDir` (e.g. `C:\lib\daecpp`)
# Use
### Use DAECPP
* To use this library the MKL variables need to be set first
* Open command line
* Include the variables
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