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Recently-derived high-order splitting schemes with complex coefficients are shown to exhibit reduced convergence rates for certain parabolic evolution equations. When applied to semilinear reaction-diffusion equations with periodic boundary…

Numerical Analysis · Mathematics 2013-11-18 M. T. Warnez , B. K. Muite

We propose an approximation of nonlinear renewal equations by means of ordinary differential equations. We consider the integrated state, which is absolutely continuous and satisfies a delay differential equation. By applying the…

Numerical Analysis · Mathematics 2021-03-23 Francesca Scarabel , Odo Diekmann , Rossana Vermiglio

The purpose of this paper is to develop a new effective approach to higher-order mixing in the semisimple setting. We prove effective exponential mixing of all orders for partially hyperbolic algebraic actions, under a strong spectral-gap…

Dynamical Systems · Mathematics 2026-05-21 Zhenqi Jenny Wang

A new alternative numerical procedure to the Szeg\H{o} quadrature formulas for the estimation of integrals with respect to a positive Borel measure $\mu$ supported on the unit circle is presented. As in many practical situations, we assume…

Numerical Analysis · Mathematics 2026-01-27 Ruymán Cruz-Barroso , Lidia Fernández , Francisco Marcellán

We establish improved convergence rates for curved boundary element methods applied to the three-dimensional (3D) Laplace and Helmholtz equations with smooth geometry and data. Our analysis relies on a precise analysis of the consistency…

Numerical Analysis · Mathematics 2025-07-21 Luiz Maltez Faria , Pierre Marchand , Hadrien Montanelli

A numerical scheme for approximating the nonlinear filtering density is introduced and its convergence rate is established, theoretically under a parabolic H\"{o}rmander condition, and empirically in numerical examples. In a prediction…

Numerical Analysis · Mathematics 2026-04-21 Kasper Bågmark , Adam Andersson , Stig Larsson , Filip Rydin

We present a new technique for the interpolation of discretely-sampled non-negat ive scalar fields across regions of missing data. Any set of basis functions can be used, though the method is fastest when they are close to orthogonal. We…

Astrophysics · Physics 2007-05-23 Will Saunders , Bill E. Ballinger

A Cahn-Hilliard-Allen-Cahn phase-field model coupled with a heat transfer equation, particularly with full non-diagonal mobility matrices, is studied. After reformulating the problem w.r.t. the inverse of temperature, we proposed and…

Numerical Analysis · Mathematics 2024-08-01 Aaron Brunk , Oliver Habrich , Timileyin David Oyedeji , Yangyiwei Yang , Bai-Xiang Xu

In this paper we show the convergence of a semidiscrete time stepping \theta-scheme on a time grid of variable length to the solution of parabolic operator differential inclusion in the framework of evolution triple. The multifunction is…

Analysis of PDEs · Mathematics 2016-11-25 Piotr Kalita

We consider nonlocal nonlinear potentials and estimate the rate of convergence of time stepping schemes to the peridynamic equation of motion. We begin by establishing the existence of $H^2$ solutions over any finite time interval. Here…

Numerical Analysis · Mathematics 2018-10-04 Prashant K. Jha , Robert Lipton

We give a unified interpretation of confluences, contiguity relations and Katz's middle convolutions for linear ordinary differential equations with polynomial coefficients and their generalization to partial differential equations. The…

Classical Analysis and ODEs · Mathematics 2011-06-07 Toshio Oshima

In this work, we study superconvergence properties for some high-order orthogonal polynomial interpolations.The results are two-folds: When interpolating function values, we identify those points where the first and second derivatives of…

Numerical Analysis · Mathematics 2012-04-27 Zhimin Zhang

Singular and oscillatory functions feature in numerous applications. The high-accuracy approximation of such functions shall greatly help us develop high-order methods for solving applied mathematics problems. This paper demonstrates that…

Numerical Analysis · Mathematics 2022-05-20 Congpei An , Hao-Ning Wu

In this paper, we demonstrate a polynomial convergence rate for homogenization of Hamilton-Jacobi equations with quasi-periodic potentials. We establish a connection between the convergence rate of homogenization and the regularity of the…

Analysis of PDEs · Mathematics 2024-12-23 Bingyang Hu , Son N. T. Tu , Jianlu Zhang

We propose a model reduction technique for parametrized partial differential equations arising from scalar hyperbolic conservation laws. The key idea of the technique is to construct basis functions that are local in parameter and time…

Numerical Analysis · Mathematics 2018-05-16 Donsub Rim , Kyle T. Mandli

The purpose of this paper is to develop a new fractional dynamical approach to superstatistics. Namely, we show that superstatistical distribution functions can be obtained from stationary solutions of the generalized Fokker-Planck equation…

Statistical Mechanics · Physics 2013-05-07 Bahruz Gadjiev

In this paper, we present an abstract framework to obtain convergence rates for the approximation of random evolution equations corresponding to a random family of forms determined by finite-dimensional noise. The full discretization error…

Functional Analysis · Mathematics 2024-12-19 Katharina Klioba , Christian Seifert

We extend an inequality for harmonic functions, obtained in previous research by the authors, to the case of solutions of uniformly elliptic equations in divergence form, with merely measurable coefficients. The inequality for harmonic…

Analysis of PDEs · Mathematics 2021-07-21 Rolando Magnanini , Giorgio Poggesi

We introduce a semi-implicit Milstein approximation scheme for some class of non-colliding particle systems modeled by systems of stochastic differential equations with non-constant diffusion coefficients. We show that the scheme converges…

Probability · Mathematics 2019-08-13 Hoang-Long Ngo , Duc-Trong Luong

We introduce a randomly extrapolated primal-dual coordinate descent method that adapts to sparsity of the data matrix and the favorable structures of the objective function. Our method updates only a subset of primal and dual variables with…

Optimization and Control · Mathematics 2020-07-14 Ahmet Alacaoglu , Olivier Fercoq , Volkan Cevher
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