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This work is devoted to the obtaining of a new numerical scheme based in quadrature formulas for the Lebesgue-Stieltjes integral for the approximation of Stieltjes ordinary differential equations. This novel method allows us to numerically…

Numerical Analysis · Mathematics 2020-02-20 Francisco J. Fernández , F. Adrián F. Tojo

In this article, we have analyzed semi-discrete finite element approximations of the Stochastic linear Schr\"{o}dinger equation in a bounded convex polygonal domain driven by additive Wiener noise. We use the finite element method for…

Numerical Analysis · Mathematics 2026-01-16 Suprio Bhar , Mrinmay Biswas , Mangala Prasad

We present a stabilized finite element method for the numerical solution of cavitation in lubrication, modeled as an inequality-constrained Reynolds equation. The cavitation model is written as a variable coefficient saddle-point problem…

Numerical Analysis · Mathematics 2018-05-09 Tom Gustafsson , K. R. Rajagopal , Rolf Stenberg , Juha Videman

In this paper, we present a numerical scheme to solve the initial-boundary value problem for backward stochastic partial differential equations of parabolic type. Based on the Galerkin method, we approximate the original equation by a…

Optimization and Control · Mathematics 2015-07-16 Yanqing Wang

A numerical analysis for the fully discrete approximation of an operator Lyapunov equation related to linear SPDEs (stochastic partial differential equations) driven by multiplicative noise is considered. The discretization of the Lyapunov…

Numerical Analysis · Mathematics 2022-05-04 Adam Andersson , Annika Lang , Andreas Petersson , Leander Schroer

In this paper, we present numerical procedures to compute solutions of partial differential equations posed on fractals. In particular, we consider the strong form of the equation using standard graph Laplacian matrices and also weak forms…

Numerical Analysis · Mathematics 2022-05-20 Fernando Contreras , Juan Galvis

The primary emphasis of this work is the development of a finite element based space-time discretization for solving the stochastic Lagrangian averaged Navier-Stokes (LANS-$\alpha$) equations of incompressible fluid turbulence with…

Numerical Analysis · Mathematics 2021-11-01 Jad Doghman , Ludovic Goudenège

In this note we study the convergence of monotone P1 finite element methods on unstructured meshes for fully non-linear Hamilton-Jacobi-Bellman equations arising from stochastic optimal control problems with possibly degenerate, isotropic…

Numerical Analysis · Mathematics 2013-02-25 Max Jensen , Iain Smears

Here we study theoretically and compare experimentally an efficient method for solving systems of algebraic equations, where the matrix comes from the discretization of a fractional diffusion operator. More specifically, we focus on…

Numerical Analysis · Mathematics 2020-02-26 Stanislav Harizanov , Raytcho Lazarov , Pencho Marinov , Svetozar Margenov , Joseph Pasciak

This work investigates a fully discrete mixed finite element method for the stochastic Boussinesq system driven by multiplicative noise. The spatial discretization is performed using a standard mixed finite element method, while the…

Numerical Analysis · Mathematics 2025-12-25 Liet Vo

We study a regularized version of the Landau equation, which was recently introduced in~\cite{CHWW20} to numerically approximate the Landau equation with good accuracy at reasonable computational cost. We develop the existence and…

Analysis of PDEs · Mathematics 2022-11-15 José A. Carrillo , Matias G. Delgadino , Jeremy S. H. Wu

Convergence results for the immersed boundary method applied to a model Stokes problem with the homogeneous Dirichlet boundary condition are presented. As a discretization method, we deal with the finite element method. First, the immersed…

Numerical Analysis · Mathematics 2020-01-24 Norikazu Saito , Yoshiki Sugitani

This paper is concerned with fully discrete finite element methods for approximating variational solutions of nonlinear stochastic elastic wave equations with multiplicative noise. A detailed analysis of the properties of the weak solution…

Numerical Analysis · Mathematics 2022-10-04 Xiaobing Feng , Yukun Li , Yujian Lin

We introduce a stabilised finite element formulation for the Kirchhoff plate obstacle problem and derive both a priori and residual-based a posteriori error estimates using conforming $C^1$-continuous finite elements. We implement the…

Numerical Analysis · Mathematics 2021-02-09 Tom Gustafsson , Rolf Stenberg , Juha Videman

We obtain rates of convergence of numerical approximations of abstract linear parabolic evolution equations in Banach spaces. Our estimates extend known results from the literature of finite element approximations of parabolic equations to…

Numerical Analysis · Mathematics 2024-11-20 Øyvind Stormark Auestad

The present work introduces and investigates an explicit time discretization scheme, called the projected Euler method,to numerically approximate random periodic solutions of semi-linear SDEs under non-globally Lipschitz conditions. The…

Numerical Analysis · Mathematics 2024-11-26 Yujia Guo , Xiaojie Wang , Yue Wu

We study the asymptotic stability of the semi-discrete (SD) numerical method for the approximation of stochastic differential equations. Recently, we examined the order of $\mathcal L^2$-convergence of the truncated SD method and showed…

Numerical Analysis · Mathematics 2020-08-10 Nikolaos Halidias , Ioannis S. Stamatiou

We study a semilinear fractional-in-time Rayleigh-Stokes problem for a generalized second-grade fluid with a Lipschitz continuous nonlinear source term and initial data $u_0\in\dot{H}^\nu(\Omega)$, $\nu\in[0,2]$. We discuss stability of…

Numerical Analysis · Mathematics 2020-12-08 Mariam Al-Maskari , Samir Karaa

In this paper, we study the mathematical structure and numerical approximation of elliptic problems posed in a (3D) domain $\Omega$ when the right-hand side is a (1D) line source $\Lambda$. The analysis and approximation of such problems is…

Numerical Analysis · Mathematics 2018-11-01 Ingeborg G. Gjerde , Kundan Kumar , Jan M. Nordbotten , Barbara Wohlmuth

In this work, we investigate the inverse problem of recovering a potential coefficient in an elliptic partial differential equation from the observations at deterministic sampling points in the domain subject to random noise. We employ a…

Numerical Analysis · Mathematics 2025-05-30 Bangti Jin , Qimeng Quan , Wenlong Zhang