  We give a mathematical framework for temperature accelerated dynamics (TAD),
an algorithm proposed by M.R. S{\o}rensen and A.F. Voter to efficiently
generate metastable stochastic dynamics. Using the notion of quasistationary
distributions, we propose some modifications to TAD. Then considering the
modified algorithm in an idealized setting, we show how TAD can be made
mathematically rigorous.
