The problem of k-minimisation for a DFA M is the computation of a smallest DFA N (where the size |M | of a DFA M is the size of the domain of the transition function) such that L(M) Δ L(N) ⊆ ∑
CITATION STYLE
Gawrychowski, P., Jez, A., & Maletti, A. (2011). On minimising automata with errors. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6907 LNCS, pp. 327–338). https://doi.org/10.1007/978-3-642-22993-0_31
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