gauge functions significantly generalize the notion of a norm, and gauge optimization is the class of problems for finding the element of a convex set that is minimal with respect to a gauge. these conceptually simple problems appear in a remarkable array of applications. their gauge structure allows for a special kind of duality framework that may lead to new algorithmic approaches. i will illustrate these ideas with applications in sparse signal recovery.