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We provide a framework for obtaining error bounds for linear conic problems without assuming constraint qualifications or regularity conditions. The key aspects of our approach are the notions of amenable cones and facial residual…

Optimization and Control · Mathematics 2021-09-27 Bruno F. Lourenço

It is known that difference equations generated as the Newton-Raphson iteration for quadratic equations are solvable in closed form, and the solution can be constructed from linear three-term recurrence relations with constant coefficients.…

Exactly Solvable and Integrable Systems · Physics 2023-09-26 Kazuki Maeda

The aim of this note is to show that Poincar\'e inequalities imply corresponding weighted versions in a quite general setting. Fractional Poincar\'e inequalities are considered, too. The proof is short and does not involve covering…

Analysis of PDEs · Mathematics 2013-02-08 Bartłomiej Dyda , Moritz Kassmann

We discuss a recursive family of iterative methods for the numerical approximation of roots of nonlinear functions in one variable. These methods are based on Newton-Cotes closed quadrature rules. We prove that when a quadrature rule with…

Numerical Analysis · Mathematics 2014-09-10 Mario M. Graça , Pedro M. Lima

It has long been known how to construct radiation boundary conditions for the time dependent wave equation. Although arguments suggesting that they are accurate have been given, it is only recently that rigorous error bounds have been…

Numerical Analysis · Mathematics 2008-11-06 Charles Siegel , Avy Soffer , Chris Stucchio

An extended formulation of a polytope P is a polytope Q which can be projected onto P. Extended formulations of small size (i.e., number of facets) are of interest, as they allow to model corresponding optimization problems as linear…

Combinatorics · Mathematics 2012-07-10 Samuel Fiorini , Volker Kaibel , Kanstantsin Pashkovich , Dirk Oliver Theis

In this note we prove that the version of Newton algorithm with line search we used in [2] converges quadratically.

Numerical Analysis · Mathematics 2021-09-09 Denis Zorin

The focus in this paper is interior-point methods for bound-constrained nonlinear optimization, where the system of nonlinear equations that arise are solved with Newton's method. There is a trade-off between solving Newton systems…

Optimization and Control · Mathematics 2023-05-04 David Ek , Anders Forsgren

In a bounded smooth domain of Rn, we shall establish Kato's inequalities involving measures for p-Laplace operator up to the boundary under suitable assumptions. Keywords: Kato's inequality, $p$-Laplace operator

Analysis of PDEs · Mathematics 2019-09-25 Toshio Horiuchi , Peter Kumlin

A new error bound for the linear complementarity problem when the matrix involved is a B-matrix is presented, which improves the corresponding result in [C.Q. Li et al., A new error bound for linear complementarity problems for B-matrices.…

Numerical Analysis · Mathematics 2016-10-21 Lei Gao , Chaoqian Li

We provide a direct proof of a quadratic estimate that plays a central role in the determination of domains of square roots of elliptic operators and, as shown more recently, in some boundary value problems with $L^2$ boundary data. We…

Classical Analysis and ODEs · Mathematics 2009-05-18 Pascal Auscher , Andreas Axelsson , Alan McIntosh

We show how to compute lower bounds for the supremum Bayes error if the class-conditional distributions must satisfy moment constraints, where the supremum is with respect to the unknown class-conditional distributions. Our approach makes…

Machine Learning · Statistics 2012-01-31 Bela A. Frigyik , Maya R. Gupta

Two types of errors can occur when discriminating pairs of quantum states. Asymmetric state discrimination involves minimizing the probability of one type of error, subject to a constraint on the other. We give explicit expressions bounding…

Quantum Physics · Physics 2023-11-23 Jason L. Pereira , Leonardo Banchi , Stefano Pirandola

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

Neural Networks have been widely used to solve Partial Differential Equations. These methods require to approximate definite integrals using quadrature rules. Here, we illustrate via 1D numerical examples the quadrature problems that may…

Numerical Analysis · Mathematics 2022-03-09 Jon A. Rivera , Jamie M. Taylor , Ángel J. Omella , David Pardo

A new error bound which is better than the current exponential-type error bound is presented in this paper.

Numerical Analysis · Mathematics 2007-12-06 Lin-Tian Luh

The existing upper and lower bounds between entropy and error probability are mostly derived from the inequality of the entropy relations, which could introduce approximations into the analysis. We derive analytical bounds based on the…

Information Theory · Computer Science 2012-05-31 Bao-Gang Hu , Hong-Jie Xing

We obtain new upper and lower bounds on the number of unit perimeter triangles spanned by points in the plane. We also establish improved bounds in the special case where the point set is a section of the integer grid.

Combinatorics · Mathematics 2025-10-06 Ritesh Goenka , Kenneth Moore , Ethan Patrick White

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

Lower bounds for some explicit decision problems over the complex numbers are given.

Numerical Analysis · Mathematics 2025-10-20 Gregorio Malajovich
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