User:Margav06/sandbox/Click here to continue/Software for LMIs and Optimization

Software for LMIs and Optimization

We will be Majorly using these softwares for solving the LMIs' problems:

Gurobi :


 * -You can download the program from this link https://www.gurobi.com/.
 * -Try logging in using the University's email id.
 * -If you cannot proceed with downloads using your personal wifi, it may be required for you to download the program using University's wifi.
 * -Once downloaded, install it in the path where your MATLAB is installed.
 * -Upon successful installation, you should be able to run a demo code from the Gurobi dome code files.

Sedumi :


 * -You can download the program from this link https://sedumi.ie.lehigh.edu/?page_id=58.
 * -Try logging in using the University's email id.
 * -Once downloaded, install it in the path where your MATLAB is installed.
 * -Upon successful installation, you should be able to run a demo code from the Sedumi dome code files.
 * -This is the most commonly used solver for the LMIs in Control course.
 * -You can use this solver to solve linear programming problems as well.

Cplex :


 * -This is the solver from IBM
 * -You can download the program from this link https://www.ibm.com/academic/topic/data-science
 * -Try logging in using the University's email id.
 * -It may take a day or two to get your license approved. Once approved you can use the link to download the program.
 * -Once downloaded, install it in the path where your MATLAB is installed.
 * -Upon successful installation, you should be able to run a demo code from the IBM Cplex dome code files.

MOSEK:


 * -You can download the program from this link https://www.mosek.com/products/academic-licenses/
 * -Try logging in using the University's email id.
 * -Once downloaded, install it in the path where your MATLAB is installed.
 * -Upon successful installation, you should be able to run a demo code from the Mosek dome code files.

SOSTOOLS:


 * -This tool helps us to solve non-linear systems
 * -The download link for the tool is provided here: http://control.asu.edu/sostools/
 * -Once downloaded, install the tool in your MATLAB path.
 * -Try running a demo code from the list of demo codes in the sostools folder.