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An approach to calculating approximate solutions to the continuum Schwinger-Dyson equations is outlined, with examples for \phi^4 in D=1. This approach is based on the source Galerkin methods developed by Garcia, Guralnik and Lawson.…

High Energy Physics - Theory · Physics 2007-05-23 Stephen C. Hahn , G. S. Guralnik

In this paper, a fully implicit Crank-Nicolson discontinuous Galerkin method is proposed for solving the Ginzburg-Landau equation. By leveraging a novel analytical technique, we rigorously establish the unique solvability of the constructed…

Numerical Analysis · Mathematics 2025-11-27 Xianxian Cao , Zhen Guan , Junjun Wang

An elliptic partial differential equation Lu=f with a zero Dirichlet boundary condition is converted to an equivalent elliptic equation on the unit ball. A spectral Galerkin method is applied to the reformulated problem, using multivariate…

Numerical Analysis · Mathematics 2011-06-20 Kendall Atkinson , David Chien , Olaf Hansen

Numerical methods for the Euler equations with a singular source are discussed in this paper. The stationary discontinuity induced by the singular source and its coupling with the convection of fluid presents challenges to numerical…

Numerical Analysis · Mathematics 2022-03-14 Changsheng Yu , Tiegang Liu , Chengliang Feng

In this note, we present a new numerical method for solving backward stochastic differential equations. Our method can be viewed as an analogue of the classical finite element method solving deterministic partial differential equations.

Probability · Mathematics 2011-06-07 Penghui Wang , Xu Zhang

In this paper, we investigate a sequentially decoupled numerical method for solving the fully coupled quasi-static thermo-poroelasticity problems with nonlinear convective transport. The symmetric interior penalty discontinuous Galerkin…

Numerical Analysis · Mathematics 2025-09-09 Fan Chen , Ming Cui , Chenguang Zhou

This paper presents a fully discrete numerical scheme for one-dimensional nonlocal wave equations and provides a rigorous theoretical analysis. To facilitate the spatial discretization, we introduce an auxiliary variable analogous to the…

Numerical Analysis · Mathematics 2025-07-15 Qiang Du , Kui Ren , Lu Zhang , Yin Zhou

In this paper, based on the two-step discretization scheme proposed by Dahlquist, Liniger and Nevanlinna (DLN), we develop a semi-implicit Galerkin finite element method for solving the coupled generalized Ginzburg-Landau equations. By…

Numerical Analysis · Mathematics 2026-01-12 Zhen Guan , Xianxian Cao , Junjun Wang

In this paper a finite difference/local discontinuous Galerkin method for the fractional diffusion-wave equation is presented and analyzed. We first propose a new finite difference method to approximate the time fractional derivatives, and…

Numerical Analysis · Mathematics 2015-07-29 Leilei Wei

In this article a theoretical framework for problems involving fractional equations of hyperbolic type arising in the theory of viscoelasticity is presented. Based on the Galerkin method, a variational problem of the fractionary…

Analysis of PDEs · Mathematics 2021-08-20 Luis Fernando López Ríos , Julián Bravo-Castillero

In this work, we consider space-time goal-oriented a posteriori error estimation for parabolic problems. Temporal and spatial discretizations are based on Galerkin finite elements of continuous and discontinuous type. The main objectives…

Numerical Analysis · Mathematics 2024-02-06 Jan Philipp Thiele , Thomas Wick

We present a reduced basis stochastic Galerkin method for partial differential equations with random inputs. In this method, the reduced basis methodology is integrated into the stochastic Galerkin method, resulting in a significant…

Numerical Analysis · Mathematics 2023-10-02 Guanjie Wang , Qifeng Liao

We use a concept of weak asymptotic solution for homogeneous as well as non-homogeneous fractional advection dispersion type equations. Using Legendre scaling functions as basis, a numerical method based on Galerkin approximation is…

Numerical Analysis · Mathematics 2015-05-01 Harendra Singh , Manas Ranjan Sahoo , Om Prakash Singh

The systems of nonlinear Volterra integral equations of the first kind with jump discontinuous kernels are studied. The iterative numerical method for such nonlinear systems is proposed. Proposed method employs the modified…

Numerical Analysis · Mathematics 2019-10-22 A. N. Tynda , D. N. Sidorov , N. A. Sidorov

A new method of numerical solution for partial differential equations is proposed. The method is based on a fast matrix multiplication algorithm. Two-dimensional Poison equation is used for comparison of the proposed method with…

Numerical Analysis · Mathematics 2016-06-02 Pavel Dourbal , Mikhail Pekker

We analyze Galerkin discretizations of a new well-posed mixed space-time variational formulation of parabolic PDEs. For suitable pairs of finite element trial spaces, the resulting Galerkin operators are shown to be uniformly stable. The…

Numerical Analysis · Mathematics 2020-02-07 Rob Stevenson , Jan Westerdiep

We consider the initial/boundary value problem for a diffusion equation involving multiple time-fractional derivatives on a bounded convex polyhedral domain. We analyze a space semidiscrete scheme based on the standard Galerkin finite…

Numerical Analysis · Mathematics 2015-06-18 Bangti Jin , Raytcho Lazarov , Yikan Liu , Zhi Zhou

We propose a procedure for the numerical approximation of invariance equations arising in the moment matching technique associated with reduced-order modeling of high-dimensional dynamical systems. The Galerkin residual method is employed…

Optimization and Control · Mathematics 2026-03-31 Carlos Doebeli , Alessandro Astolfi , Dante Kalise , Alessio Moreschini , Giordano Scarciotti , Joel Simard

In this paper, discontinuous Galerkin finite element methods are applied to one dimensional Rosenau equation. Theoretical results including consistency, a priori bounds and optimal error estimates are established for both semidiscrete and…

Numerical Analysis · Mathematics 2019-12-02 P. Danumjaya , K. Balaje

Deep learning has become a popular tool across many scientific fields, including the study of differential equations, particularly partial differential equations. This work introduces the basic principles of deep learning and the Deep…

Machine Learning · Computer Science 2026-01-09 Georgios Is. Detorakis
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