Abstract
We survey techniques and results obtained over the past thirty years for space-bounded probabilistic computation. We use a common framework for the study of both finite-state automata and logarithmic-space-bounded Turing machines. In particular, we present recent advances on space-efficient deterministic simulation of probabilistic automata.
Index Terms
- SIGACT News Complexity Theory Column 10
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