On the state complexity of intersection of regular languages
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The state complexities of some basic operations on regular languages
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State complexity of proportional removals
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Theoretical Computer Science - Descriptional complexity of formal systems
State complexity of some operations on binary regular languages
Theoretical Computer Science - Descriptional complexity of formal systems
The maximum state complexity for finite languages
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State complexity of combined operations
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On the average state and transition complexity of finite languages
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Nonterminal Complexity of Some Operations on Context-Free Languages
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State Complexity of Combined Operations for Prefix-Free Regular Languages
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State complexity of unique rational operations
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State complexity of basic operations on suffix-free regular languages
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State-complexity hierarchies of uniform languages of alphabet-size length
Theoretical Computer Science
Estimation of state complexity of combined operations
Theoretical Computer Science
Concatenation of Regular Languages and Descriptional Complexity
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State complexity of basic operations on nondeterministic finite automata
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State complexity of union and intersection of finite languages
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Complexity in union-free regular languages
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State complexity of prefix, suffix, bifix and infix operators on regular languages
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State complexity of catenation combined with union and intersection
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State complexity of four combined operations composed of union, intersection, star and reversal
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On the state complexity of combined operations
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Quotient complexity of ideal languages
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Complexity of operations on cofinite languages
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State complexity of concatenation and complementation of regular languages
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Complexity in convex languages
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Basic operations on binary suffix-free languages
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Nondeterministic State Complexity of Basic Operations for Prefix-Free Regular Languages
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Production complexity of some operations on context-free languages
DCFS'12 Proceedings of the 14th international conference on Descriptional Complexity of Formal Systems
State complexity of star and square of union of k regular languages
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State complexity of chop operations on unary and finite languages
DCFS'12 Proceedings of the 14th international conference on Descriptional Complexity of Formal Systems
On state complexity of finite word and tree languages
DLT'12 Proceedings of the 16th international conference on Developments in Language Theory
Nonterminal Complexity of Some Operations on Context-Free Languages
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The State Complexity of Two Combined Operations: Star of Catenation and Star of Reversal
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Descriptional complexity of deterministic regular expressions
MFCS'12 Proceedings of the 37th international conference on Mathematical Foundations of Computer Science
State Complexity: Recent Results and Open Problems
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State Complexity of Combined Operations with Union, Intersection, Star and Reversal
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State complexity of basic operations on suffix-free regular languages
MFCS'07 Proceedings of the 32nd international conference on Mathematical Foundations of Computer Science
Quotient complexity of ideal languages
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State complexity of star of union and square of union on k regular languages
Theoretical Computer Science
Incomplete transition complexity of basic operations on finite languages
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State complexity of combined operations for suffix-free regular languages
Theoretical Computer Science
Quotient Complexity of Closed Languages
Theory of Computing Systems
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The state complexity of basic operations on regular languages has been studied in [9,10,11]. Here we focus on finite languages. We show that the catenation of two finite languages accepted by an m- state and an n-state DFA, respectively, with m n is accepted by a DFA of (m - n + 3)2n-2 - 1 states in the two-letter alphabet case, and this bound is shown to be reachable. We also show that the tight upperbounds for the number of states of a DFA that accepts the star of an n-state finite language is 2n-3 + 2n-4 in the two-letter alphabet case. The same bound for reversal is 3 驴 2p-1 - 1 when n is even and 2p - 1 when n is odd. Results for alphabets of an arbitrary size are also obtained. These upper-bounds for finite languages are strictly lower than the corresponding ones for general regular languages.