A neural poly-vector based non-orthogonal frame field generation method for quad meshing. [PDF]
Yu Y, Li N, Gong G, Lin X.
europepmc +1 more source
Estimating Aggregate Relationships in Panel Data via the LASSO
ABSTRACT This article is concerned with the estimation of aggregate relationships among a potentially large number of panel data variables in the presence of unobserved heterogeneity in the form of interactive effects, an empirically very relevant scenario that has not been considered before.
Joakim Westerlund, Luca Margaritella
wiley +1 more source
Genetic Analysis of Litter Size Across Parities in Prolific and Conventional Populations of Tunisian Barbarine Sheep Using a Random Regression Model. [PDF]
Ziadi C +3 more
europepmc +1 more source
Mixed Multiple Orthogonal Laurent Polynomials on the Unit Circle [PDF]
Edmundo J. Huertas, Manuel Mañas
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ABSTRACT The multiresolution finite wavelet domain method has been meticulously studied in numerous wave propagation simulations, showing excellent convergence properties and very fast computing times. The multiresolution procedure always starts with the coarse solution, and then finer solutions can be superimposed on the coarse solution until ...
Dimitris Dimitriou +2 more
wiley +1 more source
Legendre based neural networks integrated with heuristic algorithms for the analysis of Lorenz chaotic model: an intelligent and comparative study. [PDF]
Masood K +5 more
europepmc +1 more source
Distribution of zeros of polynomials of multiple discrete orthogonality in the Angelesco case
Владимир Генрихович Лысов
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One‐Dimensional Finite Elements With Arbitrary Cross‐Sectional Displacement Fields
ABSTRACT This paper introduces an unprecedented unified approach for developing structural theories with an arbitrary kinematic variable over the beam cross‐section. Each of the three displacement variables can be analyzed using an independent expansion function. Both the order of the expansion and the number of terms in each field can be any. That is,
E. Carrera, D. Scano, E. Zappino
wiley +1 more source
Arousal as a universal embedding for spatiotemporal brain dynamics. [PDF]
Raut RV +10 more
europepmc +1 more source
ABSTRACT Parametric model order reduction by matrix interpolation allows for efficient prediction of the behavior of dynamic systems without requiring knowledge about the underlying parametric dependency. Within this approach, reduced models are first sampled and then made consistent with each other by transforming the underlying reduced bases. Finally,
Sebastian Resch‐Schopper +2 more
wiley +1 more source

