We introduce in this paper a generalization of the widely used hidden Markov models (HMM's), which we name "structural hidden Markov models" (SHMM). Our approach is ...
Dynamical low-rank approximation is a differential-equation based approach to efficiently computing low-rank approximations to time-dependent large data matrices or to solutions o...
Because large scienti c codes are rarely static objects, developers are often faced with the tedious task of accounting for discrepancies between new and old versions. In this pap...
David Abramson, Ian T. Foster, John Michalakes, Ro...