Kopsavilkums
We introduce the affine OBDD model and show that zero-error affine OBDDs can be exponentially narrower than bounded-error unitary and probabilistic OBDDs on certain problems. Moreover, we show that Las-Vegas unitary and probabilistic OBDDs can be quadratically narrower than deterministic OBDDs. We also obtain the same results for the automata counterparts of these models.
| Oriģinālvaloda | Angļu |
|---|---|
| Lapas (no-līdz) | 827-847 |
| Lapu skaits | 21 |
| Žurnāls | International Journal of Foundations of Computer Science |
| Sējums | 32 |
| Izdevuma numurs | 7 |
| DOIs | |
| Publikācijas statuss | Publicēts - 1 nov. 2021 |
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