ROME (Robust Optimization Made Easy) is an algebraic modeling language designed to solve a class of robust optimization problems. ROME runs in the MATLAB environment, so that users can take full advantage of the numerical and graphical capabilites of MATLAB for preprocessing and analysis of data.

ROME requires an optimizer to solve conic quadratic problems (aka. second order cone problems) and a possible choice in ROME is to use MOSEK.