Results 81 to 90 of about 8,085 (191)
On Generalized Gaussian Quadratures for Exponentials and Their Applications
This paper is concerned with the approximation, for a given bandlimit \(c>0\) and accuracy \(\varepsilon >0\), of integrals of the form \[ u(x)=\int _{-1}^1 e^{ictx} d\mu (t), \] where \(d\mu (t)=w(t) dt\) is a measure, with the sum \[ \overline u(x)=\sum_{k=1}^{M(c,\varepsilon)}w_ke^{ic\theta _kx}.
Beylkin, G., Monzón, L.
openaire +2 more sources
Application of Radial Basis Function Method for Solving Nonlinear Integral Equations
The radial basis function (RBF) method, especially the multiquadric (MQ) function, was proposed for one- and two-dimensional nonlinear integral equations.
Huaiqing Zhang +3 more
doaj +1 more source
Bayesian Quadrature: Gaussian Processes for Integration
Bayesian quadrature is a probabilistic, model-based approach to numerical integration, the estimation of intractable integrals, or expectations. Although Bayesian quadrature was popularised already in the 1980s, no systematic and comprehensive treatment has been published. The purpose of this survey is to fill this gap.
Maren Mahsereci, Toni Karvonen
openaire +2 more sources
Computational aspects of simultaneous Gaussian quadrature
Abstract In this paper, we derive a new method to compute the nodes and weights of simultaneous n-point Gaussian quadrature rules. The method is based on the eigendecomposition of the banded lower Hessenberg matrix that contains the coefficients of the recurrence relations for the corresponding multiple orthogonal polynomials.
Laudadio T. +2 more
openaire +1 more source
Gaussian–Chebyshev Quadrature Approximation for Analyzing RIS-Assisted Communications
Analyzing the impact of cascaded channels in reconfigurable intelligent surfaces (RIS)-assisted wireless communication systems presents significant challenges, particularly due to the varying channel models associated with different links. In this paper,
Shuang Zhang, Jie Ren, Huilong Jin
doaj +1 more source
On Gaussian Quadrature Formulas for the Chebyshev Weight
The names of Gauss and Chebyshev, great and illustrious as they are, appear in the mathematics literature quite a good number of times. Particularly, Chebyshev polynomials and Gaussian quadrature are well-known independently and to connect them up in a meaningful manner is a task worthy of note. In the paper under review the author has studied in depth
openaire +2 more sources
Enhanced Numerical Techniques for Selective Integration Using Error Correction Methods
Classical numerical integration methods, such as Simpson’s rule and Gaussian quadrature, perform well for smooth functions but lose accuracy near discontinuities.
Israa Essa Abed, Wafaa M. R. Shakir
doaj +1 more source
A Quantile-Conserving Ensemble Filter Based on Kernel-Density Estimation
Ensemble Kalman filters are an efficient class of algorithms for large-scale ensemble data assimilation, but their performance is limited by their underlying Gaussian approximation.
Ian Grooms, Christopher Riedel
doaj +1 more source
This paper presents a fully implicit finite difference scheme for the numerical approximation of a wave equation featuring strong damping and a distributed delay term. The discretization employs second-order accurate approximations in both time and space.
Manal Alotaibi
doaj +1 more source
Algorithm for the Time-Propagation of the Radial Diffusion Equation Based on a Gaussian Quadrature. [PDF]
Gillespie D.
europepmc +1 more source

