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Applicability of cyclomatic complexity on WSDL
(Springer Verlag, 2015)
Cônicas e métricas em R^2
(Universidade Estadual Paulista (Unesp), 2019-12-18)
Este estudo tem como objetivo explorar as cônicas clássicas, a saber: elipse, hipérbole e parábola. Inicialmente será feita uma abordagem do ponto de vista geométrico e posteriormente um tratamento analítico através das ...
Quasi-perfect codes in the l(p) metric
(Springer Heidelberg, 2018)
We introduce the notion of degree of imperfection of a code in Z(n) with the l(p) metric, to extend the so-called quasi-perfect codes. Through the establishment of bounds and computational approach, we determine all radii ...
Error bounds, metric subregularity and stability in Generalized Nash Equilibrium Problems with nonsmooth payoff functions
(2016)
In this paper, we study the calmness of a generalized Nash equilibrium problem (GNEP) with non-differentiable data. The approach consists in obtaining some error bound property for the KKT system associated with the ...
Canonical sphere bundles of the Grassmann manifold
(Springer, 2019-11)
For a given Hilbert space H, consider the space of self-adjoint projections P(H). In this paper we study the differentiable structure of a canonical sphere bundle over P(H) given by R={(P,f)∈P(H)×H:Pf=f,‖f‖=1}.We establish ...
Metrics for Association Rule Clustering Assessment
(Springer, 2015)
Scaling functions evaluation for estimation of landscape metrics at higher resolutions
(Elsevier Science, 2014-07)
Understanding the relationship between landscape pattern and environmental processes requires quantification of landscape pattern at multiple scales. This will make it possible to relate broad-scale patterns to fine-scale ...
A metric index for approximate string matching
(ELSEVIER, 2006-03-07)
We present a radically new indexing approach for approximate string matching. The scheme uses the metric properties of the edit distance and can be applied to any other metric between strings. We build a metric space where ...
Metrics to estimate differential co-expression networks
(BioMed Central, 2017-11-10)
Abstract Background Detecting the differences in gene expression data is important for understanding the underlying molecular mechanisms. Although the differentially expressed genes are a large component, differences in ...