Abstract
Hyper-minimization aims to reduce the size of the representation of a language beyond the limits imposed by classical minimization. To this end, the hyper-minimal representation can represent a language that has a finite difference to the original language. The first hyper-minimization algorithm is presented for (bottom-up) deterministic tree automata, which represent the recognizable tree languages. It runs in time \({\cal O}(\ell m n)\), where ℓ is the maximal rank of the input symbols, m is the number of transitions, and n is the number of states of the input tree automaton.
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Jeż, A., Maletti, A. (2012). Hyper-minimization for Deterministic Tree Automata. In: Moreira, N., Reis, R. (eds) Implementation and Application of Automata. CIAA 2012. Lecture Notes in Computer Science, vol 7381. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31606-7_19
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DOI: https://doi.org/10.1007/978-3-642-31606-7_19
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