Not at all sufficient. NaN typically means that something has gone wrong—e.g. your precision requirements exceed that of the floating point representation you'v

Not at all sufficient. NaN typically means that something has gone wrong—e.g. your precision requirements exceed that of the floating point representation you've selected, you've done a nonsensical operation. inf and -inf might be perfectly acceptable results depending on your application and needs.