نتایج جستجو برای: double variable

تعداد نتایج: 495230  

Journal: :Journal of Structural and Construction Engineering (Transactions of AIJ) 2016

Journal: :Astronomy and Astrophysics 2023

Context. A detailed study of the close interacting binary V4142 Sgr, based on photometric and spectroscopic analyses, indicates that this system belongs to enigmatic class Algol-like variables exhibiting a long cycle an unknown nature. Aims. By performing data-mining observations covering orbital cycle, we obtained parameters stellar properties system, along with physical accretion disk located...

2007
GARETH M. JAMES PETER RADCHENKO

The Dantzig selector (Candes and Tao, 2007) is a new approach that has been proposed for performing variable selection and model fitting on linear regression models. It uses an L1 penalty to shrink the regression coefficients towards zero, in a similar fashion to the Lasso. While both the Lasso and Dantzig selector potentially do a good job of selecting the correct variables, several researcher...

Journal: :journal of algorithms and computation 0
p. jeyanthi 1research center, department of mathematics, govindammal aditanar college for women, tiruchendur - 628 215, tamilnadu,india a. maheswari 2department of mathematics, kamaraj college of engineering and technology, virudhunagar, india m. vijayalakshmi 3department of mathematics, dr.g.u. pope college of engineering, sawyerpuram, thoothukudi district, tamilnadu, india

let g be a graph with p vertices and q edges and a = {0, 1, 2, . . . , [q/2]}. a vertex labeling f : v (g) → a induces an edge labeling f∗ defined by f∗(uv) = f(u) + f(v) for all edges uv. for a ∈ a, let vf (a) be the number of vertices v with f(v) = a. a graph g is said to be vertex equitable if there exists a vertex labeling f such that for all a and b in a, |vf (a) − vf (b)| ≤ 1 and the in...

2014
Désirée Baumann Knut Baumann

BACKGROUND Generally, QSAR modelling requires both model selection and validation since there is no a priori knowledge about the optimal QSAR model. Prediction errors (PE) are frequently used to select and to assess the models under study. Reliable estimation of prediction errors is challenging - especially under model uncertainty - and requires independent test objects. These test objects must...

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