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This paper considers improving the Picard and Newton iterative solvers for the Navier-Stokes equations in the setting where data measurements or solution observations are available. We construct adapted iterations that use continuous data…

Analysis of PDEs · Mathematics 2023-07-26 Xuejian Li , Elizabeth V. Hawkins , Leo G. Rebholz , Duygu Vargun

First order optimization algorithms play a major role in large scale machine learning. A new class of methods, called adaptive algorithms, were recently introduced to adjust iteratively the learning rate for each coordinate. Despite great…

Machine Learning · Computer Science 2019-10-01 André Belotto da Silva , Maxime Gazeau

The purpose of this paper is to study the incompressible non-resistive MHD equations in $\mathbb{R}^3$. We establish the global well-posedness of classical solutions if the initial data is axially symmetric and the swirl components of the…

Analysis of PDEs · Mathematics 2022-03-08 Xiaolian Ai , Zhouyu Li

Today's ocean numerical prediction skills depend on the availability of in-situ and remote ocean observations at the time of the predictions only. Because observations are scarce and discontinuous in time and space, numerical models are…

Signal Processing · Electrical Eng. & Systems 2022-06-06 Ali Muhamed Ali , Hanqi Zhuang , Yu Huang , Ali K. Ibrahim , Ali Salem Altaher , Laurent Chérubin

A numerical method is developed to solve linear semi-infinite programming problem (LSIP) in which the iterates produced by the algorithm are feasible for the original problem. This is achieved by constructing a sequence of standard linear…

Optimization and Control · Mathematics 2021-01-26 Shuxiong Wang

We establish the existence and uniqueness of both local martingale and local pathwise solutions of an abstract nonlinear stochastic evolution system. The primary application of this abstract framework is to infer the local existence of…

Analysis of PDEs · Mathematics 2015-05-19 Arnaud Debussche , Nathan Glatt-Holtz , Roger Temam

Assuming that a formal approximation of multiple waves has been obtained by matched asymptotic methods, we derive a {\em Spatial Shadowing lemma} to construct exact solutions near the formal approximation. In Part I, we consider a general…

patt-sol · Physics 2014-11-18 Xiao-Biao Lin

In this paper we discuss quantitative (pointwise) decay estimates for solutions to the 3D cubic defocusing Nonlinear Schr\"odinger equation with various initial data, deterministic and random. We show that nonlinear solutions enjoy the same…

Analysis of PDEs · Mathematics 2022-11-08 Chenjie Fan , Gigliola Staffilani , Zehua Zhao

Consider the anisotropic Navier-Stokes equations as well as the primitive equations. It is shown that the horizontal velocity of the solution to the anisotropic Navier-Stokes equations in a cylindrical domain of height $\varepsilon $ with…

Analysis of PDEs · Mathematics 2021-03-29 Ken Furukawa , Yoshikazu Giga , Matthias Hieber , Amru Hussein , Takahito Kashiwabara , Marc Wrona

We describe a spectrally-filtered discrete-in-time downscaling data assimilation algorithm and prove, in the context of the two-dimensional Navier--Stokes equations, that this algorithm works for a general class of interpolants, such as…

Dynamical Systems · Mathematics 2019-03-18 Emine Celik , Eric Olson , Edriss S. Titi

We show how the 3DVAR data assimilation methodology can be used in the astrophysical context of a two-dimensional convection flow. We study the way this variational approach finds best estimates of the current state of the flow from a…

Solar and Stellar Astrophysics · Physics 2013-08-09 Andreas Svedin , Milena C. Cuellar , Axel Brandenburg

The method of self-similar factor approximants is shown to be very convenient for solving different evolution equations and boundary-value problems typical of physical applications. The method is general and simple, being a straightforward…

Mathematical Physics · Physics 2009-11-13 E. P. Yukalova , V. I. Yukalov , S. Gluzman

Data assimilation is a vital component in modern global medium-range weather forecasting systems to obtain the best estimation of the atmospheric state by combining the short-term forecast and observations. Recently, AI-based data…

Machine Learning · Computer Science 2024-06-05 Kun Chen , Tao Chen , Peng Ye , Hao Chen , Kang Chen , Tao Han , Wanli Ouyang , Lei Bai

Qualitative properties of non-negative solutions to a quasilinear degenerate parabolic equation with an absorption term depending solely on the gradient are shown, providing information on the competition between the nonlinear diffusion and…

Analysis of PDEs · Mathematics 2007-08-13 Jean-Philippe Bartier , Philippe Laurençot

Although the mathematical study on the synchronization of wave equations at finite horizon has been well developed, there was few results on the synchronization of wave equations for long-time horizon. The aim of the paper is to investigate…

Analysis of PDEs · Mathematics 2022-02-03 Tatsien Li , Bopeng Rao

We apply the Postprocessing Galerkin method to a recently introduced continuous data assimilation (downscaling) algorithm for obtaining a numerical approximation of the solution of the two-dimensional Navier-Stokes equations corresponding…

Numerical Analysis · Mathematics 2016-12-22 Cecilia F. Mondaini , Edriss S. Titi

In this paper, we consider the initial-boundary value problem to the three-dimensional primitive equations for the oceanic and atmospheric dynamics with only horizontal eddy viscosities in the horizontal momentum equations and only vertical…

Analysis of PDEs · Mathematics 2024-08-14 Chongsheng Cao , Jinkai Li , Edriss S. Titi , Dong Wang

This paper considers the three dimensional Muskat problem in the stable regime. We obtain a conservation law which provides an $L^2$ maximum principle for the fluid interface. We also show global in time existence for strong and weak…

Analysis of PDEs · Mathematics 2019-05-02 Peter Constantin , Diego Cordoba , Francisco Gancedo , Luis Rodriguez-Piazza , Robert M. Strain

We rigorously justify in 3D the main asymptotic models used in coastal oceanography, including: shallow-water equations, Boussinesq systems, Kadomtsev-Petviashvili (KP) approximation, Green-Naghdi equations, Serre approximation and…

Analysis of PDEs · Mathematics 2016-03-08 Borys Alvarez-Samaniego , David Lannes

The goal of this article is to make automatic data assimilation for a landslide tsunami model, given by the coupling between a non-hydrostatic multi-layer shallow-water and a Savage-Hutter granular landslide model for submarine avalanches.…