scholarly journals Upper Bounds on Syntactic Complexity of Left and Two-Sided Ideals

2014 ◽  
pp. 13-24 ◽  
Author(s):  
Janusz Brzozowski ◽  
Marek Szykuła
Keyword(s):  
Upper Bounds ◽  
Syntactic Complexity

scholarly journals SYNTACTIC COMPLEXITY OF ℛ- AND 𝒥-TRIVIAL REGULAR LANGUAGES

2014 ◽  
Vol 25 (07) ◽  
pp. 807-821 ◽  
Author(s):  
JANUSZ BRZOZOWSKI ◽  
BAIYU LI
Keyword(s):  
Upper Bounds ◽  
The State ◽  
Regular Languages ◽  
Syntactic Complexity ◽  
State Complexity

The syntactic complexity of a subclass of the class of regular languages is the maximal cardinality of syntactic semigroups of languages in that class, taken as a function of the state complexity n of these languages. We prove that n! and ⌊e(n − 1)⌋. are tight upper bounds for the syntactic complexity of ℛ- and 𝒥-trivial regular languages, respectively.

Eliciting Verbs From Children With Specific Language Impairment

1996 ◽  
Vol 5 (4) ◽  
pp. 17-30 ◽  
Author(s):  
Diane Frome Loeb ◽  
Clifton Pye ◽  
Sean Redmond ◽  
Lori Zobel Richardson
Keyword(s):  
Young Children ◽  
Language Impairment ◽  
Specific Language Impairment ◽  
Syntactic Complexity ◽  
Specific Language ◽  
Lexical Skills

The focus of assessment and intervention is often aimed at increasing the lexical skills of young children with language impairment. Frequently, the use of nouns is the center of the lexical assessment. As a result, the production of verbs is not fully evaluated or integrated into treatment in a way that accounts for their semantic and syntactic complexity. This paper presents a probe for eliciting verbs from children, describes its effectiveness, and discusses the utility of and problems associated with developing such a probe.

Extension of the Spatial PDI Model to Three Dimensions

1997 ◽  
Vol 84 (1) ◽  
pp. 176-178
Author(s):  
Frank O'Brien
Keyword(s):  
Population Density ◽  
Dimensional Space ◽  
Finite Lattice ◽  
Three Dimensional ◽  
Upper Bounds ◽  
Three Dimensions ◽  
Lower And Upper Bounds ◽  
Density Index ◽  
Three Dimensional Space

The author's population density index ( PDI) model is extended to three-dimensional distributions. A derived formula is presented that allows for the calculation of the lower and upper bounds of density in three-dimensional space for any finite lattice.

Energy of spherical fuzzy graphs

2020 ◽  
pp. 321-332
Author(s):  
S. Yahya Mohamed ◽  
A. Mohamed Ali
Keyword(s):  
Adjacency Matrix ◽  
Upper Bounds ◽  
Fuzzy Graph ◽  
Lower And Upper Bounds ◽  
Fuzzy Graphs

In this paper, the notion of energy extended to spherical fuzzy graph. The adjacency matrix of a spherical fuzzy graph is defined and we compute the energy of a spherical fuzzy graph as the sum of absolute values of eigenvalues of the adjacency matrix of the spherical fuzzy graph. Also, the lower and upper bounds for the energy of spherical fuzzy graphs are obtained.

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