  Yield Optimized Interpolated Superoscillations (YOIS) have been recently
introduced as a means for possibly making the use of the phenomenon of
superoscillation practical. In this paper we study how good is a
superoscillation that is not optimal. Namely, by how much is the yield
decreased when the signal departs from the optimal one. We consider two
situations. One is the case where the signal strictly obeys the interpolation
requirement and the other is when that requirement is relaxed. In the latter
case the yield can be increased at the expense of deterioration of signal
quality. An important conclusion is that optimizing superoscillations may be
challenging in terms of the precision needed, however, storing and using them
is not at all that sensitive. This is of great importance in any physical
system where noise and error are inevitable.
