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A method of numerically evaluating slowly convergent monotone series is described. First, we apply a condensation transformation due to Van Wijngaarden to the original series. This transforms the original monotone series into an alternating…

Numerical Analysis · Mathematics 2025-10-20 U. D. Jentschura , P. J. Mohr , G. Soff , E. J. Weniger

For weak dispersion and weak dissipation cases, the (1+1)-dimensional KdV-Burgers equation is investigated in terms of approximate symmetry reduction approach. The formal coherence of similarity reduction solutions and similarity reduction…

Exactly Solvable and Integrable Systems · Physics 2015-05-13 Xiaoyu Jiao , Ruoxia Yao , Shunli Zhang , S. Y. Lou

The paper outlines an exact combinatorial approach to finite coagulating systems. In this approach, cluster sizes and time are discrete, and the binary aggregation alone governs the time evolution of the systems. By considering the growth…

Statistical Mechanics · Physics 2018-02-21 Agata Fronczak , Anna Chmiel , Piotr Fronczak

We aim at estimating in a non-parametric way the density $\pi$ of the stationary distribution of a $d$-dimensional stochastic differential equation $(X_t)_{t \in [0, T]}$, for $d \ge 2$, from the discrete observations of a finite sample…

Statistics Theory · Mathematics 2022-12-29 Chiara Amorino , Arnaud Gloter

The classical theorems about singular perturbation reduction (due to Tikhonov and Fenichel) are concerned with convergence on a compact time interval (in slow time) as a small parameter approaches zero. For unbounded time intervals…

Classical Analysis and ODEs · Mathematics 2022-09-20 Christian Lax , Katrin Seliger , Sebastian Walcher

We investigate the thermodynamic limit of the circular long-range Riesz gas, a system of particles interacting pairwise through an inverse power kernel. We show that after rescaling, so that the typical spacing of particles is of order $1$,…

Probability · Mathematics 2023-07-20 Jeanne Boursier

We study large deviation properties of systems of weakly interacting particles modeled by It\^{o} stochastic differential equations (SDEs). It is known under certain conditions that the corresponding sequence of empirical measures…

Probability · Mathematics 2012-09-26 Amarjit Budhiraja , Paul Dupuis , Markus Fischer

We study posterior contraction rates for mixing measures in homoscedastic location-scale mixture models with infinitely many components. While posterior convergence at the level of densities is well understood, ensuring convergence of the…

Statistics Theory · Mathematics 2026-05-11 Nicola Bariletto , Dung Le , Alessandro Rinaldo , Nhat Ho

We present an abstract framework for analyzing the weak error of fully discrete approximation schemes for linear evolution equations driven by additive Gaussian noise. First, an abstract representation formula is derived for sufficiently…

Numerical Analysis · Mathematics 2013-07-17 M. Kovács , S. Larsson , F. Lindgren

For the Tikhonov regularization of ill-posed nonlinear operator equations, convergence is studied in a Hilbert scale setting. We include the case of oversmoothing penalty terms, which means that the exact solution does not belong to the…

Numerical Analysis · Mathematics 2020-02-03 Bernd Hofmann , Robert Plato

In this study, we analyse the famous Aw-Rascle system in which the difference between the actual and the desired velocities (the offset function) is a gradient of a singular function of the density. This leads to a dissipation in the…

Analysis of PDEs · Mathematics 2022-09-27 N Chaudhuri , L Navoret , Charlotte Perrin , E Zatorska

We study the weak finite element method solving convection-diffusion equations. A weak finite element scheme is presented based on a spacial variational form. We established a weak embedding inequality that is very useful in the weak finite…

Numerical Analysis · Mathematics 2015-06-10 Tie Zhang , Yanli Chen

FOCal Underdetermined System Solver (FOCUSS) is a powerful tool for sparse representation and underdetermined inverse problems, which is extremely easy to implement. In this paper, we give a comprehensive convergence analysis on the FOCUSS…

Information Theory · Computer Science 2013-04-19 Zhaoshui He , Shengli Xie , Andrzej Cichocki

We consider discrete nonlinear Schr\"odinger equations (DNLS) on the lattice $h\mathbb{Z}^d$ whose linear part is determined by the discrete Laplacian which accounts only for nearest neighbor interactions, or by its fractional power. We…

Analysis of PDEs · Mathematics 2018-06-21 Younghun Hong , Changhun Yang

An existence result on weak solutions to the continuous coagulation equation with collision-induced multiple fragmentation is established for certain classes of unbounded coagulation, collision and breakup kernels. In this model, a pair of…

Analysis of PDEs · Mathematics 2018-02-27 Prasanta Kumar Barik , Ankik Kumar Giri

We study the weak convergence order of two Euler-type discretizations of the log-Heston Model where we use symmetrization and absorption, respectively, to prevent the discretization of the underlying CIR process from becoming negative. If…

Numerical Analysis · Mathematics 2022-09-09 Annalena Mickel , Andreas Neuenkirch

This work investigates the properties of the proximity operator for quasar-convex functions and establishes the convergence of the proximal point algorithm to a global minimizer with a particular focus on its convergence rate. In…

Optimization and Control · Mathematics 2026-04-16 José de Brito , Felipe Lara , Di Liu

We consider the regularized short-pulse equation, which contains nonlinear dis- persive effects. We prove that as the diffusion parameter tends to zero, the solutions of the dispersive equation converge to discontinuous weak solutions of…

Analysis of PDEs · Mathematics 2014-03-25 Giuseppe Maria Coclite , Lorenzo di Ruvo

In this article, we investigate the existence and uniqueness of weak solutions to the continuous coagulation equation with collisional breakage for a class of unbounded collision kernels and distribution function. The collision kernels and…

Analysis of PDEs · Mathematics 2018-06-12 Prasanta Kumar Barik , Ankik Kumar Giri

We find the weak rate of convergence of the spatially semidiscrete finite element approximation of the nonlinear stochastic heat equation. Both multiplicative and additive noise is considered under different assumptions. This extends an…

Numerical Analysis · Mathematics 2016-03-15 Adam Andersson , Stig Larsson