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This paper is devoted to the class of paraconvex functions and presents some of its fundamental properties, characterization, and examples that can be used for their recognition and optimization. Next, the convergence analysis of the…

Optimization and Control · Mathematics 2026-03-06 Morteza Rahimi , Susan Ghaderi , Yves Moreau , Masoud Ahookhosh

In this article, we are interested in the asymptotic analysis of a finite volume scheme for one dimensional linear kinetic equations, with either Fokker-Planck or linearized BGK collision operator. Thanks to appropriate uniform estimates,…

Numerical Analysis · Mathematics 2019-11-12 Marianne Bessemoulin-Chatard , Maxime Herda , Thomas Rey

We show existence and uniqueness of a stationary state for a kinetic Fokker-Planck equation modelling the fibre lay-down process in the production of non-woven textiles. Following a micro-macro decomposition, we use hypocoercivity…

Analysis of PDEs · Mathematics 2017-04-17 Emeric Bouin , Franca Hoffmann , Clément Mouhot

Motivated by [7], we study the advection-hyperdiffusion equation in the whole space in two and three dimensions with the goal of understanding the decay in time of the $H^{-1}$- and $L^2$-norm of the solutions. We view the advection term as…

Analysis of PDEs · Mathematics 2023-12-25 Fabian Bleitner , Camilla Nobili

We use the local orthogonal decomposition technique to derive a generalized finite element method for linear and semilinear parabolic equations with spatial multiscale diffusion coefficient. We consider nonsmooth initial data and a backward…

Numerical Analysis · Mathematics 2015-05-01 Axel Målqvist , Anna Persson

The systematic expansion method of the solution of the Fokker-Planck equation is developed by generalizing the formulation proposed in [J. Phys. A50, 325001 (2017)]. Using this method, we obtain a new formula to calculate the mean work…

Statistical Mechanics · Physics 2022-08-05 T. Koide

Stochastic gradient methods with momentum are widely used in applications and at the core of optimization subroutines in many popular machine learning libraries. However, their sample complexities have not been obtained for problems beyond…

Optimization and Control · Mathematics 2021-02-12 Vien V. Mai , Mikael Johansson

We propose an approach to directly estimate the moments or marginals for a high-dimensional equilibrium distribution in statistical mechanics, via solving the high-dimensional Fokker-Planck equation in terms of low-order cluster moments or…

Numerical Analysis · Mathematics 2023-12-05 Yian Chen , Yuehaw Khoo , Lek-Heng Lim

In this paper, exact rate of approximation of functions by linear means of Fourier series and Fourier integrals and corresponding $K$-functionals are expressed via special moduli of smoothness. . Introduction is given in $\S 1$. In $\S2$…

Classical Analysis and ODEs · Mathematics 2016-06-27 R. M. Trigub

We consider the motion of a power-law-like generalized Newtonian fluid in R^3, where the power-law index is a variable function. This system of nonlinear partial differential equations arises in mathematical models of electrorheological…

Analysis of PDEs · Mathematics 2022-05-04 Seungchan Ko

In this paper, we derive decay rates for solutions to the incompressible Navier-Stokes equations and Hall-magnetohydrodynamic equations. We first improve the decay rate of weak solutions to these equations by refining the Fourier splitting…

Analysis of PDEs · Mathematics 2026-01-01 Hantaek Bae , Jinwook Jung , Jaeyong Shin

We provide operator-norm convergence estimates for solutions to a time-dependent equation of fractional elasticity in one spatial dimension, with rapidly oscillating coefficients that represent the material properties of a viscoelastic…

Analysis of PDEs · Mathematics 2017-06-12 Kirill Cherednichenko , Marcus Waurick

The local convergence of alternating optimization methods with overrelaxation for low-rank matrix and tensor problems is established. The analysis is based on the linearization of the method which takes the form of an SOR iteration for a…

Numerical Analysis · Mathematics 2022-06-29 Ivan V. Oseledets , Maxim V. Rakhuba , André Uschmajew

We consider Kramers-Fokker-Planck operators with general degenerate coefficients. We prove semiclassical hypocoercivity estimates for a large class of such operators. Then, we manage to prove Eyring-Kramers formulas for the bottom of the…

Analysis of PDEs · Mathematics 2026-01-30 Loïs Delande

We focus on the study of multigrid methods with aggressive coarsening and polynomial smoothers for the solution of the linear systems corresponding to finite difference/element discretizations of the Laplace equation. Using local Fourier…

Numerical Analysis · Mathematics 2014-12-02 James Brannick , Xiaozhe Hu , Carmen Rodrigo , Ludmil Zikatanov

In this paper, we have studied a decomposition method for solving a class of nonconvex two-stage stochastic programs, where both the objective and constraints of the second-stage problem are nonlinearly parameterized by the first-stage…

Optimization and Control · Mathematics 2022-11-16 Hanyang Li , Ying Cui

Random Fourier features provide a way to tackle large-scale machine learning problems with kernel methods. Their slow Monte Carlo convergence rate has motivated the research of deterministic Fourier features whose approximation error can…

Machine Learning · Computer Science 2021-10-20 Frederiek Wesel , Kim Batselier

First order semi-linear coupling of scalar hypoelliptic equations of second order leads to a natural class of incompressible Navier Stokes equation systems, which encompasses systems with variable viscosity and essentially Navier Stokes…

Analysis of PDEs · Mathematics 2013-08-13 Joerg Kampen

We study the decay towards the extinction that pertains to local weak solutions to fully anisotropic equations whose prototype is \[ \partial_t u= \sum_{i=1}^N \partial_i (|\partial_i u|^{p_i-2} \partial_i u), \qquad 1<p_i<2. \] Their rates…

Analysis of PDEs · Mathematics 2023-09-12 Simone Ciani , Eurica Henriques , Igor Skrypnik

We propose a new numerical method to solve the linearized problem of travel time tomography with incomplete data. Our method is based on the technique of the truncation of the Fourier series with respect to a special basis of L2. This way…

Numerical Analysis · Mathematics 2019-11-13 Michael V. Klibanov , Thuy T. Le , Loc H. Nguyen
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