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Numerical integration over the real line for analytic functions is studied. Our main focus is on the sharpness of the error bounds. We first derive two general lower estimates for the worst-case integration error, and then apply these to…

Numerical Analysis · Mathematics 2024-10-30 Takashi Goda , Yoshihito Kazashi , Ken'ichiro Tanaka

In this paper, we consider the Gauss quadrature formulae corresponding to some modifications of anyone of the four Chebyshev weights, considered by Gautschi and Li in \cite{gauli}. As it is well known, in the case of analytic integrands,…

Numerical Analysis · Mathematics 2018-10-03 Ramon Orive , Aleksandar V. Pejcev , Miodrag M. Spalevic

In this paper, we present and analyze the Clenshaw-Curtis-Filon methods for computing two classes of oscillatory Bessel transforms with algebraic or logarithmic singularities. More importantly, for these quadrature rules we derive new…

Numerical Analysis · Mathematics 2014-01-14 Hongchao Kang , Congpei An

We derive an asymptotic error formula for Gauss--Legendre quadrature applied to functions with limited regularity, using the contour-integral representation of the remainder term. To address the absence of uniformly valid approximations of…

Numerical Analysis · Mathematics 2025-09-30 Pei Liu

The quadrature error associated with a regular quadrature rule for evaluation of a layer potential increases rapidly when the evaluation point approaches the surface and the integral becomes nearly singular. Error estimates are needed to…

Numerical Analysis · Mathematics 2022-01-20 Ludvig af Klinteberg , Chiara Sorgentone , Anna-Karin Tornberg

Gauss--Christoffel quadrature is a fundamental method for numerical integration, and its convergence analysis is closely related to the decay of Chebyshev expansion coefficients. Classical estimates, including those due to Trefethen, are…

Numerical Analysis · Mathematics 2025-12-30 Mehdi Hamzehnejad , Abbas Salemi

We provide tools to help automate the error analysis of algorithms that evaluate simple functions over the floating-point numbers. The aim is to obtain tight relative error bounds for these algorithms, expressed as a function of the unit…

Numerical Analysis · Mathematics 2024-05-07 Jean-Michel Muller , Bruno Salvy

We study the optimal general rate of convergence of the n-point quadrature rules of Gauss and Clenshaw-Curtis when applied to functions of limited regularity: if the Chebyshev coefficients decay at a rate O(n^{-s-1}) for some s > 0,…

Numerical Analysis · Mathematics 2013-01-28 Shuhuang Xiang , Folkmar Bornemann

In this paper, we provide a new and sharper bound for the Legendre coefficients of differentiable functions and then derive a new error bound of the truncated Legendre series in the uniform norm. The key idea of proof relies on integration…

Numerical Analysis · Mathematics 2018-06-18 Haiyong Wang

Three kinds of effective error bounds of the quadrature formulas with multiple nodes that are generalizations of the well known Micchelli-Rivlin quadrature formula, when the integrand is a function analytic in the regions bounded by…

Numerical Analysis · Mathematics 2018-02-09 Aleksandar V. Pejcev , Miodrag M. Spalevic

The single exponential (SE) and double exponential (DE) formulas are widely recognized as efficient quadrature formulas for evaluating integrals with endpoint singularity. For integrals exhibiting algebraic singularity, explicit error…

Numerical Analysis · Mathematics 2025-07-30 Tomoaki Okayama , Kosei Arakawa , Ryo Kamigaki , Eita Yabumoto

Gaussian quadrature rules are a classical tool for the numerical approximation of integrals with smooth integrands and positive weight functions. We derive and expicitly list asymptotic expressions for the points and weights of Gaussian…

Numerical Analysis · Mathematics 2022-08-25 Peter Opsomer , Daan Huybrechs

In this paper we present a new perspective on error analysis of Legendre approximations for differentiable functions. We start by introducing a sequence of Legendre-Gauss-Lobatto polynomials and prove their theoretical properties, such as…

Numerical Analysis · Mathematics 2023-12-15 Haiyong Wang

We introduce the notion of consistent error bound functions which provides a unifying framework for error bounds for multiple convex sets. This framework goes beyond the classical Lipschitzian and H\"olderian error bounds and includes…

Optimization and Control · Mathematics 2023-10-20 Tianxiang Liu , Bruno F. Lourenço

We study the error bound for a smooth weighted prime number theorem, and its implication to the zero-free region for the Riemann zeta function using the method of Pintz. We also give an application to the average number of smooth weighted…

Number Theory · Mathematics 2025-06-02 Songlin Han

We apply the nonconforming discretisation of Wu and Xu (2019) to the tri-Helmholtz equation on the plane where the source term is a functional evaluating the test function on a one-dimensional mesh-aligned embedded curve. We present error…

Numerical Analysis · Mathematics 2021-01-13 Andreas Bock , Colin Cotter

Error bounds are central objects in optimization theory and its applications. They were for a long time restricted only to the theory before becoming over the course of time a field of itself. This paper is devoted to the study of error…

Optimization and Control · Mathematics 2023-11-17 Zhou Wei , Michel Théra , Jen-Chih Yao

This paper deals with the estimation of the quadrature error of a Gaussian formula for weight functions involving fractional powers, exponentials and Bessel functions of the first kind. For this purpose, in this work the averaged and…

Numerical Analysis · Mathematics 2023-01-30 Eleonora Denich

In this article, the authors establish a general (two-weight) boundedness criterion for a pair of functions, $(F,f)$, on $\mathbb{R}^n$ in the scale of weighted Lebesgue spaces, weighted Lorentz spaces, (Lorentz--)Morrey spaces, and…

Analysis of PDEs · Mathematics 2021-12-09 Sibei Yang , Zhenyu Yang

This paper describes a trapezoidal quadrature method for the discretization of weakly singular, singular and hypersingular boundary integral operators with complex symmetric quadratic forms. Such integral operators naturally arise when…

Numerical Analysis · Mathematics 2023-12-13 Jeremy Hoskins , Manas Rachh , Bowei Wu
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