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Optimal transport (OT) is a popular measure to compare probability distributions. However, OT suffers a few drawbacks such as (i) a high complexity for computation, (ii) indefiniteness which limits its applicability to kernel machines. In…

Machine Learning · Computer Science 2022-02-23 Tam Le , Truyen Nguyen , Dinh Phung , Viet Anh Nguyen

We analyze univariate oscillatory integrals for the standard Sobolev spaces $H^s$ of periodic and non-periodic functions with an arbitrary integer $s\ge1$. We find matching lower and upper bounds on the minimal worst case error of…

Numerical Analysis · Mathematics 2014-12-05 Erich Novak , Mario Ullrich , Henryk Woźniakowski

The present work is devoted to extension of the trapezoidal rule in the space $W_2^{(2,1)}$. The optimal quadrature formula is obtained by minimizing the error of the formula by coefficients at values of the first derivative of a integrand.…

Numerical Analysis · Mathematics 2019-08-02 Abdullo R. Hayotov , Rashidjon G. Rasulov

While the trapezoidal formula can attain exponential convergence when applied to infinite integrals of bilateral rapidly decreasing functions, it is not capable of this in the case of unilateral rapidly decreasing functions. To address this…

Numerical Analysis · Mathematics 2022-03-04 Tomoaki Okayama , Tomoki Nomura , Saki Tsuruta

This paper deals with the construction of an optimal quadrature formula for the approximation of Fourier integrals in the Sobolev space $L_2^{(1)}[a,b]$ of non-periodic, complex valued functions which are square integrable with first order…

Numerical Analysis · Mathematics 2019-07-31 Abdullo R. Hayotov , Soomin Jeon , Chang-Ock Lee

This paper studies function approximation in Gaussian Sobolev spaces over the real line and measures the error in a Gaussian-weighted $L^p$-norm. We construct two linear approximation algorithms using $n$ function evaluations that achieve…

Numerical Analysis · Mathematics 2026-03-20 Yuya Suzuki , Toni Karvonen

We investigate the rate of convergence of linear sampling numbers of the embedding $H^{\alpha,\beta} (\mathbb{T}^d) \hookrightarrow H^\gamma (\mathbb{T}^d)$. Here $\alpha$ governs the mixed smoothness and $\beta$ the isotropic smoothness in…

Numerical Analysis · Mathematics 2014-08-18 Glenn Byrenheid , Dinh Dũng , Winfried Sickel , Tino Ullrich

We design the weights in consensus algorithms with spatially correlated random topologies. These arise with: 1) networks with spatially correlated random link failures and 2) networks with randomized averaging protocols. We show that the…

Information Theory · Computer Science 2015-05-13 Dusan Jakovetic , Joao Xavier , Jose M. F. Moura

Aiming at optimizing the shape of closed embedded curves within prescribed isotopy classes, we use a gradient-based approach to approximate stationary points of the M\"obius energy. The gradients are computed with respect to Sobolev inner…

Numerical Analysis · Mathematics 2021-07-06 Philipp Reiter , Henrik Schumacher

A comprehensive approach to Sobolev-type embeddings, involving arbitrary rearrangement- invariant norms on the entire Euclidean space R^n, is offered. In particular, the optimal target space in any such embedding is exhibited. Crucial in…

Functional Analysis · Mathematics 2017-12-01 Angela Alberico , Andrea Cianchi , Lubos Pick , Lenka Slavikova

This paper deals with the error analysis of the trapezoidal rule for the computation of Fourier type integrals, based on two double exponential transformations. The theory allows to construct algorithms in which the steplength and the…

Numerical Analysis · Mathematics 2023-08-03 Eleonora Denich , Paolo Novati

We present convergence theory for corrected quadrature rules on uniform Cartesian grids for functions with a point singularity. We begin by deriving an error estimate for the punctured trapezoidal rule, and then derive error expansions. We…

Numerical Analysis · Mathematics 2022-08-30 Federico Izzo , Olof Runborg , Richard Tsai

This work introduces a new cubic regularization method for nonconvex unconstrained multiobjective optimization problems. At each iteration of the method, a model associated with the cubic regularization of each component of the objective…

Optimization and Control · Mathematics 2025-06-11 Douglas S. Gonçalves , Max L. N. Gonçalves , Jefferson G. Melo

Given an orthogonal polynomial sequence on the real line, another sequence of polynomials can be found by composing these polynomials with a general M\"obius transformation. In this work, we study the properties of such M\"obius-transformed…

Complex Variables · Mathematics 2019-04-25 R. S. Vieira , V. Botta

We investigate the numerical approximation of integrals over $\mathbb{R}^d$ equipped with the standard Gaussian measure $\gamma$ for integrands belonging to the Gaussian-weighted Sobolev spaces $W^\alpha_p(\mathbb{R}^d, \gamma)$ of mixed…

Numerical Analysis · Mathematics 2023-06-21 Dinh Dũng , Van Kien Nguyen

In this work we present a newly developed study of the interpolation of weighted Sobolev spaces by the complex method. We show that in some cases, one can obtain an analogue of the famous Stein-Weiss theorem for weighted $L^{p}$ spaces. We…

Functional Analysis · Mathematics 2018-08-28 Michael Cwikel , Amit Einav

We obtain regularity results in weighted Sobolev spaces for the solution of the obstacle problem for the integral fractional Laplacian. The weight is a power of the distance to the boundary. These bounds then serve us as a guide in the…

Numerical Analysis · Mathematics 2019-10-18 Juan Pablo Borthagaray , Ricardo H. Nochetto , Abner J. Salgado

Optimal higher-order Sobolev type embeddings are shown to follow via isoperimetric inequalities. This establishes a higher-order analogue of a well-known link between first-order Sobolev embeddings and isoperimetric inequalities. Sobolev…

Functional Analysis · Mathematics 2013-11-04 Andrea Cianchi , Luboš Pick , Lenka Slavíková

To simulate open boundaries within finite computation domain, real-function coordinate transformation in the framework of generally covariant formulation of Maxwell equations is proposed. The mapping--realized with arctangent function…

Computational Physics · Physics 2016-11-17 Dzmitry M. Shyroki

There are many classical random walk in random environment results that apply to ergodic random planar environments. We extend some of these results to random environments in which the length scale varies from place to place, so that the…

Probability · Mathematics 2021-06-11 Ewain Gwynne , Jason Miller , Scott Sheffield
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