YALMIP is entirely based on m-code, and is thus easy to install. Remove any old version of YALMIP, unzip the downloaded zip-file and add the following directories to your MATLAB path
->/YALMIP-master ->/YALMIP-master/extras ->/YALMIP-master/solvers ->/YALMIP-master/modules ->/YALMIP-master/modules/parametric ->/YALMIP-master/modules/moment ->/YALMIP-master/modules/global ->/YALMIP-master/modules/sos ->/YALMIP-master/operators
Of course, you do not have to call the directory YALMIP-master, that just happens to be the name of the zip that Github generates.
A lazy way to do this is
If you want to be even lazier, simply run the following code in the directory where you want to install YALMIP.
cd YALMIPfolderShouldbeHere urlwrite('https://github.com/yalmip/yalmip/archive/master.zip','yalmip.zip'); unzip('yalmip.zip','yalmip') addpath(genpath([pwd filesep 'yalmip'])); savepath
To test your installation, run the command yalmiptest. For further examples and tests, run code from this manual!
Another approach is to handle your installation using www.tbxmanager.com
YALMIP is not shipped with any low-level solvers. Solvers should be installed as described in the solver manuals. Make sure to add required paths. Your MATLAB installation might already have solvers available that YALMIP will interface, but make sure you understand which solvers you are using, and read about their expected performance here.
If you have problems, please read the FAQ.
If you have MPT installed, make sure that you delete the YALMIP distribution residing inside MPT and remove the old path definitions. Better, don’t install YALMIP manually but use MPTs toolbox manager
If you have used YALMIP before, type
clear classes or restart MATLAB before using the new version.
YALMIP is primarily developed on a Windows machine using MATLAB 2015a. The code should work on any platform, but is developed and thus most extensively tested on Windows. Most parts of YALMIP should in principle work with MATLAB 6.5, but has not been tested (to any larger extent) on these versions. MATLAB 5.2 or earlier versions are definitely not supported.