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Related papers: Lattice rules for nonperiodic smooth integrands

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We study in this paper nonlinear subdivision schemes in a multivariate setting allowing arbitrary dilation matrix. We investigate the convergence of such iterative process to some limit function. Our analysis is based on some conditions on…

Numerical Analysis · Mathematics 2010-02-05 Basarab Matei , Sylvain Meignen , Anastasia Zakharova

In this paper we analyze the approximation of multivariate integrals over the Euclidean plane for functions which are analytic. We show explicit upper bounds which attain the exponential rate of convergence. We use an infinite grid with…

Numerical Analysis · Mathematics 2018-03-19 Dong T. P. Nguyen , Dirk Nuyens

Generalized symmetries often appear in the form of emergent symmetries in low energy effective descriptions of quantum many-body systems. Non-invertible symmetries are a particularly exotic class of generalized symmetries, in that they are…

Strongly Correlated Electrons · Physics 2024-10-16 Arkya Chatterjee , Ömer M. Aksoy , Xiao-Gang Wen

This work presents a numerical study of the Dirichlet problem for the fractional Laplacian $(-\Delta)^s$ with $s\in(0,1)$ using Finite Element methods with non-standard bases. Classical approaches based on piece-wise linear basis yield…

Numerical Analysis · Mathematics 2025-11-19 Félix del Teso , Stefano Fronzoni , David Gómez-Castro

In this paper we investigate quasi-Monte Carlo (QMC) integration using digital nets over $\mathbb{Z}_b$ in reproducing kernel Hilbert spaces. The tent transformation, or the baker's transformation, was originally used for lattice rules by…

Numerical Analysis · Mathematics 2019-12-09 Takashi Goda , Kosuke Suzuki , Takehito Yoshiki

We prove statistical rates of convergence for kernel-based least squares regression from i.i.d. data using a conjugate gradient algorithm, where regularization against overfitting is obtained by early stopping. This method is related to…

Statistics Theory · Mathematics 2016-07-11 Gilles Blanchard , Nicole Krämer

An FFT framework which preserves a good numerical performance in the case of domains with large regions of empty space is proposed and analyzed for its application to lattice based materials. Two spectral solvers specially suited to resolve…

Materials Science · Physics 2021-11-10 S. Lucarini , L. Cobian , A. Voitus , J. Segurado

We study the landscape of solutions of the coherent quantum states in a ring shaped lattice potential in the context of ultracold atoms with an effective positive nonlinearity induced by interatomic interactions. The exact analytical…

Quantum Gases · Physics 2023-11-28 Hongyi Huang , Kunal K. Das

We consider periodic homogenization of nonlinearly elastic composite materials. Under suitable assumptions on the stored energy function (frame indifference; minimality, non-degeneracy and smoothness at identity; $p\geq d$-growth from…

Analysis of PDEs · Mathematics 2018-07-25 Stefan Neukamm , Mathias Schäffner

We study the complexity of approximating integrals of smooth functions at absolute precision $\varepsilon > 0$ with confidence level $1 - \delta \in (0,1)$. The optimal error rate for multivariate functions from classical isotropic Sobolev…

Numerical Analysis · Mathematics 2018-09-27 Robert J. Kunsch , Daniel Rudolf

Using lattice approximations of Euclidean space, we develop a way to approximate stable processes that are represented by stochastic integrals over Euclidean space. Via a stable version of the Lindeberg-Feller Theorem we show that the…

Probability · Mathematics 2013-02-19 Clément Dombry , Paul Jung

This paper deals with the kernel-based approximation of a multivariate periodic function by interpolation at the points of an integration lattice -- a setting that, as pointed out by Zeng, Leung, Hickernell (MCQMC2004, 2006) and Zeng,…

Numerical Analysis · Mathematics 2022-01-25 Vesa Kaarnioja , Yoshihito Kazashi , Frances Y. Kuo , Fabio Nobile , Ian H. Sloan

The study further explores randomized QMC (RQMC), which maintains the QMC convergence rate and facilitates computational efficiency analysis. Emphasis is laid on integrating randomly shifted lattice rules, a distinct RQMC quadrature, with…

Numerical Analysis · Mathematics 2023-09-21 Zhan Zheng , Hejin Wang , Xiaoqun Wang

We present the first optimal rates for infinite-dimensional vector-valued ridge regression on a continuous scale of norms that interpolate between $L_2$ and the hypothesis space, which we consider as a vector-valued reproducing kernel…

Machine Learning · Statistics 2024-08-07 Zhu Li , Dimitri Meunier , Mattes Mollenhauer , Arthur Gretton

The worst case integration error in reproducing kernel Hilbert spaces of standard Monte Carlo methods with n random points decays as $n^{-1/2}$. However, re-weighting of random points can sometimes be used to improve the convergence order.…

Numerical Analysis · Mathematics 2018-01-26 Martin Ehler , Manuel Graef , Chris. J. Oates

We study the multivariate integration problem for periodic functions from the weighted Korobov space in the randomized setting. We introduce a new randomized rank-1 lattice rule with a randomly chosen number of points, which avoids the need…

Numerical Analysis · Mathematics 2024-11-19 Takashi Goda

This paper establishes error bounds for the convergence of a piecewise linear approximation of the constrained optimal smoothing problem posed in a reproducing kernel Hilbert space (RKHS). This problem can be reformulated as a Bayesian…

Statistics Theory · Mathematics 2025-06-24 Laurence Grammont , François Bachoc , Andrés F. López-Lopera

We are interested in the Logarithmic Sobolev Inequality for the infinite volume Gibbs measure with no quadratic interactions. We consider unbounded spin systems on the one dimensional Lattice with interactions that go beyond the usual…

Functional Analysis · Mathematics 2010-11-10 Ioannis Papageorgiou

Cocompactness is a useful weaker counterpart of compactness in the study of imbeddings between function spaces. In this paper we show that subcritical continuous imbeddings of fractional Sobolev spaces and Besov spaces over \mathbb{R}^{N}…

Analysis of PDEs · Mathematics 2011-09-30 Michael Cwikel , Kyril Tintarev

Universal properties of a critical quantum spin chain are encoded in the underlying conformal field theory (CFT). This underlying CFT is fully characterized by its conformal data. We propose a method to extract the conformal data from a…

Statistical Mechanics · Physics 2020-02-05 Yijian Zou , Guifre Vidal