boundingbox computes the smallest possible bounding box of a set.
[B,L,U] = boundingbox(Constraint,options,x)
The typical use is as follows
sdpvar x y Ball = x^2+y^2 <= 1 Box = boundingbox(Ball); plot(Box,[x y]); hold on plot(Ball,[x y],'y')
By using more outputs, we can extract the numerical bounds also
[Bound,L,U] = boundingbox(Ball);
One can also compute the bounding box w.r.t a subset of the variables, i.e., the bounding box of a projection (this is the recommended way to use the command, since you will have no knowledge about the relation between your variables of interest and the ordering in L and U otherwise)
sdpvar x y z Ball = x^2+y^2 +z^2 <= 1 Box = boundingbox(Ball,,[x y]); plot(Box,[x y]); hold on plot(Ball,[x y z],'y')
The command solves a series of optimization problems in order to find the maximum and minimum value of all variables, and use these values to construct a constraint defining the bounding box. Since the computation is based on repeated optimization (i.e., the bounding box is not computed analytically) it is assumed that the model is convex so that the global optima is found in every direction.