Translating Regular Expressions into Small epsilon-Free Nondeterministic Finite Automata
STACS '97 Proceedings of the 14th Annual Symposium on Theoretical Aspects of Computer Science
Descriptional complexity of finite automata: concepts and open problems
Journal of Automata, Languages and Combinatorics - Third international workshop on descriptional complexity of automata, grammars and related structures
Comparing the size of NFAs with and without ε-transitions
Theoretical Computer Science
Transition complexity of language operations
Theoretical Computer Science
Nondeterministic Finite Automata--Recent Results on the Descriptional and Computational Complexity
CIAA '08 Proceedings of the 13th international conference on Implementation and Applications of Automata
On the Hardness of Determining Small NFA's and of Proving Lower Bounds on Their Sizes
DLT '08 Proceedings of the 12th international conference on Developments in Language Theory
Lower bounds for the transition complexity of NFAs
Journal of Computer and System Sciences
The complexity of regular(-like) expressions
DLT'10 Proceedings of the 14th international conference on Developments in language theory
Regular expressions and NFAs without Ε-transitions
STACS'06 Proceedings of the 23rd Annual conference on Theoretical Aspects of Computer Science
NFAs with and without ε-transitions
ICALP'05 Proceedings of the 32nd international conference on Automata, Languages and Programming
Path-equivalent removals of ε-transitions in a genomic weighted finite automaton
CIAA'06 Proceedings of the 11th international conference on Implementation and Application of Automata
Lower bounds for the transition complexity of NFAs
MFCS'06 Proceedings of the 31st international conference on Mathematical Foundations of Computer Science
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Hromkovic et al. showed how to transform a regular expression of size n into an ε-free nondeterministic finite automaton (which defines the same language as the expression) with O(n) states and O(n log2 (n)) transitions. They also established a lower bound Ω (n log(n)) on the number of transitions. We improve the lower bound to Ω(nlog2n/loglogn).