Calling coefficient matrics of LP/ Convex optimization model

[weiqi meng]

Dear Prof 

I am curious whether there is a good way to get the coefficient matrix for a general LP/convex optimization problem by using a modeling language and getting the coefficient matrix directly. If YALMIP supports this or other kinds of modeling languages like Gurobi, does it support calling coefficient matrices through commands?

Thanks!

[weiqi meng]

The reason I ask this question is that if there is an easy way to get the coefficient matrix directly, we will save a lot of time to derive the dual problem. If not, weather YALMIP or other solvers support getting coefficient matrices in an easy way?

[Johan Löfberg]

If you want the data in the format of a specific solver, you use export

https://yalmip.github.io/command/export/

You can also use kkt to export the kkt conditions, and while doing so, you get the data too in the second output argument

https://yalmip.github.io/command/kkt/