Titlebook: Numerical Computations: Theory and Algorithms; Third International Yaroslav D. Sergeyev,Dmitri E. Kvasov Conference proceedings 2020 Sprin

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书目名称Numerical Computations: Theory and Algorithms被引频次学科排名




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Ondines-curse

诱拐

Laura Antonelli,Daniela di Serafino,Elisa Francomano,Francesco Gregoretti,Marta Paliagaalso attempted to explain the potential etiology of the concerns, and discussed possible strategies for their clinical management. Although this chapter summarized the extant research on these topics, it is clear that the lines of investigation are either in their early stages or have yet to inaugur

躺下残杀

Daniela di Serafino,Gerardo Toraldo,Marco Violas explaining their existence and appearance. The astronomical tide generating forces, to which the tidal variations of the ocean state variables can finally be traced, have planetary scale and therefore can directly excite tidal oscillations in the open ocean. Applying models of schematic ocean basi

雪白

Towards an Efficient Implementation of an Accurate SPH Methodtion. The summation of Gaussian kernel functions is employed, using the Improved Fast Gauss Transform (IFGT) to reduce the computational cost, while tuning the desired accuracy in the SPH method. This technique, coupled with an algorithmic design for exploiting the performance of Graphics Processing

生意行为

A Procedure for Laplace Transform Inversion Based on Smoothing Exponential-Polynomial Splinesls for data analysis such as the Laplace Transform (LT). In this work a numerical procedure for the Laplace Transform Inversion (LTI) of multi-exponential decaying data is proposed. It is based on a new fitting model, that is a smoothing exponential-polynomial spline with segments expressed in Berns

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Gudgeon

A 3D Efficient Procedure for Shepard Interpolants on Tetrahedran of the fast algorithm for triangular Shepard method. A block-based partitioning structure procedure was already applied to make the method very fast in the bivariate setting. Here the searching algorithm is extended, it allows to partition the domain and nodes in cubic blocks and to find the neare

RADE

Interpolation by Bivariate Quadratic Polynomials and Applications to the Scattered Data Interpolatiohis idea, the hexagonal Shepard method has been recently introduced by combining six-points basis functions with quadratic Lagrange polynomials interpolating on these points and the error of approximation has been carried out by adapting, to the case of six points, the technique developed in [.]. As

纠缠,缠绕

Comparison of Shepard’s Like Methods with Different Basis Functionsry. The methods developed with this goal are several and are successfully applied in different contexts. Due to the need of fast and accurate approximation methods, in this paper we numerically compare some variation of the Shepard method obtained by considering different basis functions.