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Related papers: Exactness of quadrature formulas

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In this paper the problem of finding a normal form of triangles and plane quadrilaterals up to similarity is considered. Several normal forms for triangles and a normal form for quadrilaterals of special case are described. Normal forms of…

Metric Geometry · Mathematics 2015-02-03 Peteris Daugulis , Vija Vagale

A theorem is proved concerning approximation of analytic functions by multivariate polynomials in the $s$-dimensional hypercube. The geometric convergence rate is determined not by the usual notion of degree of a multivariate polynomial,…

Numerical Analysis · Mathematics 2016-08-09 Lloyd N. Trefethen

When all ternary cubic forms over $\mathbb Z$ are ordered by the heights of their coefficients, we show that a positive proportion of them fail the Hasse principle, i.e., they have a zero over every completion of $\mathbb Q$ but no zero…

Number Theory · Mathematics 2014-02-06 Manjul Bhargava

We propose a combinatorial method for computing explicit solutions to multi-parametric quadratic programs, which can be used to compute explicit control laws for linear model predictive control. In contrast to classical methods, which are…

Optimization and Control · Mathematics 2024-04-09 Daniel Arnström , Daniel Axehill

We present a simple yet powerful and applicable quadrature based scheme for constructing optimal iterative methods. According to the, still unproved, Kung-Traub conjecture an optimal iterative method based on $n+1$ evaluations could achieve…

Numerical Analysis · Mathematics 2010-04-20 Sanjay K. Khattri , Ravi P. Agarwal

We revisit the problem of extending quadrature formulas for general weight functions, and provide a generalization of Patterson's method for the constant weight function. The method can be used to compute a nested sequence of quadrature…

Numerical Analysis · Mathematics 2016-04-22 Sanjay Mehrotra , Dávid Papp

We investigate quadrature rules for measures supported on real algebraic and rational curves, focusing on the {odd-degree} case \(2s-1\). Adopting an optimization viewpoint, we minimize suitable penalty functions over the space of…

Algebraic Geometry · Mathematics 2025-10-07 Cordian Riener , Ettore Teixeira Turatti

By using the three-term recurrence equation satisfied by a family of orthogonal polynomials, the Christoffel-Darboux-type bilinear generating function and their asymptotic expressions, we obtain quadrature formulas for integral transforms…

Numerical Analysis · Mathematics 2008-05-15 Rafael G. Campos , Francisco Dominguez Mota , E. Coronado

Stieltjes, Perron, and Markov in analysis of the moment problem, for absolutely continuous measures, constructed the underlying measure as the discontinuity across the cut of a Cauchy representation of an otherwise real-analytic function.…

Numerical Analysis · Mathematics 2018-12-11 William P. Reinhardt

Order and symmetry are main structural principles in mathematics. We give five examples where on the face of it order is not apparent, but deeper investigations reveal that they are governed by order structures. These examples are finite…

History and Overview · Mathematics 2024-04-12 Gunnar Fløystad

A quadratically constrained quadratic programming problem is considered in a Hilbert space setting, where neither the objective nor the constraint are convex functions. Necessary and sufficient conditions are provided to guarantee that the…

Optimization and Control · Mathematics 2023-03-10 Santiago Gonzalez Zerbo , Alejandra Maestripieri , Francisco Martínez Pería

We consider the problem of numerically computing a critical point of a functional $J\colon M\rightarrow R$ where $M$ is a Riemannian manifold. Due to local quadratic convergence a popular choice to solve this problem is the geometric Newton…

General Mathematics · Mathematics 2016-07-14 Markus Sprecher

The present paper is devoted to construction of an optimal quadrature formula for approximation of Fourier integrals in the Hilbert space $W_2^{(1,0)}[a,b]$ of non-periodic, complex valued functions. Here the quadrature sum consists of…

Numerical Analysis · Mathematics 2021-02-16 Samandar S. Babaev , A. R. Hayotov , U. N. Khayriev

For scientific computations on a digital computer the set of real number is usually approximated by a finite set F of "floating-point" numbers. We compare the numerical accuracy possible with difference choices of F having approximately the…

Numerical Analysis · Computer Science 2010-04-21 Richard P. Brent

G.L. Watson \cite{watson1, watson2} introduced a set of transformations, called Watson transformations by most recent authors, in his study of the arithmetic of integral quadratic forms. These transformations change an integral quadratic…

Number Theory · Mathematics 2013-04-23 Wai Kiu Chan , Byeong-Kweon Oh

A (positive definite and non-classic integral) quadratic form is called strongly $s$-regular if it satisfies a strong regularity property on the number of representations of squares of integers. In this article, we prove that for any…

Number Theory · Mathematics 2019-09-05 Kyoungmin Kim , Byeong-Kweon Oh

The standard coherence criterion for lower previsions is expressed using an infinite number of linear constraints. For lower previsions that are essentially defined on some finite set of gambles on a finite possibility space, we present a…

Artificial Intelligence · Computer Science 2012-03-19 Erik Quaeghebeur

In the present paper the problem of construction of optimal quadrature formulas in the sense of Sard in the space $L_2^{(m)}(0,1)$is considered. Here the quadrature sum consists of values of the integrand at nodes and values of the first…

Numerical Analysis · Mathematics 2014-10-31 Kh. M. Shadimetov , A. R. Hayotov , F. A. Nuraliev

In situations where forecasters are scored on the quality of their probabilistic predictions, it is standard to use `proper' scoring rules to perform such scoring. These rules are desirable because they give forecasters no incentive to lie…

Methodology · Statistics 2020-08-25 Spencer Greenberg

Machine learning surrogates are increasingly employed to replace expensive computational models for physics-based reliability analysis. However, their use introduces epistemic uncertainty from model approximation errors, which couples with…

Machine Learning · Computer Science 2025-09-24 Amirreza Tootchi , Xiaoping Du
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