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We study three quadratic models in model-based derivative-free optimization: the minimum norm (MN), minimum Frobenius norm (MFN), and quadratic generalized simplex derivative (QS) models. Despite their widespread use, their approximation…

Optimization and Control · Mathematics 2026-05-14 Yiwen Chen , Warren Hare , Lindon Roberts

We study continuous quadratic submodular minimization with bounds and propose a polynomially sized semidefinite relaxation, which is provably tight for dimension $n \le 3$ and empirically tight for larger $n$. We apply the relaxation to two…

Optimization and Control · Mathematics 2026-04-07 Samuel Burer , Karthik Natarajan

This paper addresses the focusing cubic-quintic nonlinear Schrodinger equation in three space dimensions. Especially, we study the global dynamics of solutions whose energy and mass equal to those of the ground state in the sprits of…

Analysis of PDEs · Mathematics 2022-10-18 Masaru Hamano , Hiroaki Kikuchi , Minami Watanabe

Convex analysis and Gaussian probability are tightly connected, as mostly evident in the theory of linear regression. Our work introduces an algebraic perspective on such relationship, in the form of a diagrammatic calculus of string…

Logic in Computer Science · Computer Science 2025-09-04 Dario Stein , Fabio Zanasi , Robin Piedeleu , Richard Samuelson

We give several descriptions of positive quadrature formulas which are exact for trigonometric -, respectively, Laurent polynomials of degree less or equal $n-1-m$, $0\leq m\leq n-1$. A complete and simple description is obtained with the…

Classical Analysis and ODEs · Mathematics 2010-01-15 Franz Peherstorfer

We present an algorithm to compute best least-squares approximations of discrete real-valued functions by first-degree splines (broken lines) with free knots. We demonstrate that the algorithm delivers after a finite number of steps a…

Numerical Analysis · Mathematics 2017-04-20 Ludwig J. Cromme , Jens Kunath , Andreas Krebs

This paper addresses the analysis and design of quadratic neural networks, which have been recently introduced in the literature, and their applications to regression, classification, system identification and control of dynamical systems.…

Machine Learning · Computer Science 2022-07-28 Luis Rodrigues , Sidney Givigi

The purpose of this note is to provide an alternative proof of two quadratic transformation formulas contiguous to that of Gauss using a differential equation approach.

Classical Analysis and ODEs · Mathematics 2014-11-20 M Swathi , A K Rathie , R B Paris

We present two new remarkably simple stochastic second-order methods for minimizing the average of a very large number of sufficiently smooth and strongly convex functions. The first is a stochastic variant of Newton's method (SN), and the…

Machine Learning · Computer Science 2019-12-04 Dmitry Kovalev , Konstantin Mishchenko , Peter Richtárik

In this paper a fourth order asymptotically optimal error bound for a new cubic interpolating spline function, denoted by Q-spline, is derived for the case that only function values at given points are used but not any derivative…

Numerical Analysis · Mathematics 2025-07-08 Florian Jarre

In the paper [25], written in collaboration with Gesine Reinert, we proved a universality principle for the Gaussian Wiener chaos. In the present work, we aim at providing an original example of application of this principle in the…

Probability · Mathematics 2010-02-08 Ivan Nourdin , Giovanni Peccati

In this work, we compare the nodal and isogeometric spatial discretization schemes for the nonlinear formulation of shear- and torsion-free rods introduced in [1]. We investigate the resulting discrete solution space, the accuracy, and the…

Numerical Analysis · Mathematics 2025-08-21 Thi-Hoa Nguyen , Bruno A. Roccia , Dominik Schillinger , Cristian C. Gebhardt

This paper derives strong relations that boundary curves of a smooth complex of patches have to obey when the patches are computed by local averaging. These relations restrict the choice of reparameterizations for geometric continuity. In…

Graphics · Computer Science 2009-06-09 Jorg Peters , Jianhua Fan

We study monotone Hermite interpolation on an interval, where both function values and first derivatives are prescribed at the nodes. Among all $C^{1,1}$ interpolants, we seek one with optimal curvature, measured by $\|F''\|_{L^\infty}$. In…

Classical Analysis and ODEs · Mathematics 2026-05-15 Fushuai Jiang , Garving K. Luli

The Schwinger model (quantum electrodynamics in 1+1 dimensions) is a testbed for the study of quantum gauge field theories. We give scalable, explicit digital quantum algorithms to simulate the lattice Schwinger model in both NISQ and…

Quantum Physics · Physics 2020-08-12 Alexander F. Shaw , Pavel Lougovski , Jesse R. Stryker , Nathan Wiebe

Given a single observation from a Gaussian distribution with unknown mean $\theta$, we design computationally efficient procedures that can approximately generate an observation from a different target distribution $Q_{\theta}$ uniformly…

Statistics Theory · Mathematics 2025-10-09 Mengqi Lou , Guy Bresler , Ashwin Pananjady

We consider polynomial approximation over the interval $[-1,1]$ by regularized weighted discrete least squares methods with $\ell_2-$ or $\ell_1-$regularization, respectively. As the set of nodes we use Gauss quadrature points (which are…

Numerical Analysis · Mathematics 2019-08-27 Congpei An , Hao-Ning Wu

A classical result about unit equations says that if $\Gamma_1$ and $\Gamma_2$ are finitely generated subgroups of $\mathbb C^\times$, then the equation $x+y=1$ has only finitely many solutions with $x\in\Gamma_1$ and $y\in \Gamma_2$. We…

Number Theory · Mathematics 2020-11-16 Yifeng Huang

We show that, given an arbitrary shift, the lapse $N$ can be chosen so that the extrinsic curvature $K$ of the space slices with metric $\overline g$ in arbitrary coordinates of a solution of Einstein's equations satisfies a quasi-linear…

General Relativity and Quantum Cosmology · Physics 2012-08-27 Y. Choquet-Bruhat , J. W. York,

The purpose of this paper is to develop the anti-Gauss cubature rule for approximating integrals defined on the square whose integrand function may have algebraic singularities at the boundaries. An application of such a rule to the…

Numerical Analysis · Mathematics 2025-05-08 Patricia Diaz de Alba , Luisa Fermo , Giuseppe Rodriguez