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Related papers: Direct meshless local Petrov-Galerkin (DMLPG) meth…

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In this paper we propose and test the validity of simple and easy-to-implement algorithms within the immersed boundary framework geared towards large scale simulations involving thousands of deformable bodies in highly turbulent flows.…

Computational Physics · Physics 2018-09-26 Vamsi Spandan , Detlef Lohse , Marco D. de Tullio , Roberto Verzicco

We establish the convergence of the deep Galerkin method (DGM), a deep learning-based scheme for solving high-dimensional nonlinear PDEs, for Hamilton-Jacobi-Bellman (HJB) equations that arise from the study of mean field control problems…

Optimization and Control · Mathematics 2024-05-24 William Hofgard , Jingruo Sun , Asaf Cohen

In this paper, we investigate a Local Discontinuous Galerkin (LDG) approximation for systems with balanced Orlicz-structure. We propose a new numerical flux, which yields optimal convergence rates for linear ansatz functions. In particular,…

Numerical Analysis · Mathematics 2022-08-04 Alex Kaltenbach , Michael Růžička

We consider a discontinuous Galerkin method for the numerical solution of boundary value problems in two-dimensional domains with curved boundaries. A key challenge in this setting is the potential loss of convergence order due to…

Numerical Analysis · Mathematics 2026-01-16 Adérito Araújo , Milene Santos

In this paper, we propose the approximate Bregman proximal gradient algorithm (ABPG) for solving composite nonconvex optimization problems. ABPG employs a new distance that approximates the Bregman distance, making the subproblem of ABPG…

Optimization and Control · Mathematics 2024-11-25 Shota Takahashi , Akiko Takeda

Galerkin and Petrov-Galerkin methods are some of the most successful solution procedures in numerical analysis. Their popularity is mainly due to the optimality properties of their approximate solution. We show that these features carry…

Numerical Analysis · Mathematics 2019-11-15 Davide Palitta , Valeria Simoncini

We propose a novel framework, called Markov-Lipschitz deep learning (MLDL), to tackle geometric deterioration caused by collapse, twisting, or crossing in vector-based neural network transformations for manifold-based representation…

Machine Learning · Computer Science 2020-10-01 Stan Z. Li , Zelin Zang , Lirong Wu

In this paper, we theoretically and numerically verify that the discontinuous Galerkin (DG) methods with central fluxes for linear hyperbolic equations on non-uniform meshes have sub-optimal convergence properties when measured in the…

Numerical Analysis · Mathematics 2020-03-03 Yong Liu , Chi-Wang Shu , Mengping Zhang

The $hp$ local discontinuous Galerkin (LDG) method proposed by Castillo et al. [Math. Comp.,~71 (238): 455-478, 2002] has been shown to be an efficient approach for solving convection-diffusion equations. However, theoretical analysis…

Numerical Analysis · Mathematics 2026-03-05 Wenjie Liu , Ruiyi Xie , Li-Lian Wang , Zhimin Zhang

We propose a generalized Eulerian-Lagrangian (GEL) discontinuous Galerkin (DG) method. The method is a generalization of the Eulerian-Lagrangian (EL) DG method for transport problems proposed in [arXiv preprint arXiv: 2002.02930 (2020)],…

Numerical Analysis · Mathematics 2022-06-08 Xue Hong , Jing-Mei Qiu

In this paper, we are interested in scalable Domain Decomposition Methods (DDM). To this end, we introduce and study a new Coarse Space Correction algorithm for Optimized Schwarz Methods(OSM) : the DCS-DGLC algorithm. The main idea is to…

Numerical Analysis · Mathematics 2013-10-01 Kévin Santugini-Repiquet

We extend the semi-Lagrangian discontinuous Galerkin (SLDG) method of Einkemmer to velocity grids with adaptive mesh refinement (AMR) and to three-dimensional velocity space. The original SLDG formulation assumes uniform cell widths, which…

Numerical Analysis · Mathematics 2026-03-23 Mark F. Adams

An error analysis of a mixed discontinuous Galerkin (DG) method with Brezzi numerical flux for the time-harmonic Maxwell equations with minimal smoothness requirements is presented. The key difficulty in the error analysis for the DG method…

Numerical Analysis · Mathematics 2022-09-13 Kaifang Liu , Dietmar Gallistl , Matthias Schlottbom , J. J. W. van der Vegt

Searching for numerical methods that combine facility and efficiency, while remaining accurate and versatile, is critical. Often, irregular geometries challenge traditional methods that rely on structured or body-fitted meshes. Meshless…

Numerical Analysis · Mathematics 2024-06-21 Anna Kucherova , Gbocho M. Terasaki , Selma Strango , Maxime Theillard

Presented here is a preliminary study of a strictly linear, discontinuous-Petrov-Galerkin scheme for the discrete-ordinates method in slab geometry. By ``linear'', we mean the discretization does not depend on the solution itself as is the…

Numerical Analysis · Mathematics 2024-03-15 Jeremy A. Roberts

Discontinuous Petrov Galerkin (DPG) methods are made easily implementable using `broken' test spaces, i.e., spaces of functions with no continuity constraints across mesh element interfaces. Broken spaces derivable from a standard exact…

Numerical Analysis · Mathematics 2018-07-10 C. Carstensen , L. Demkowicz , J. Gopalakrishnan

We propose and analyze a numerical method to solve an elliptic transmission problem in full space. The method consists of a variational formulation involving standard boundary integral operators on the coupling interface and an ultra-weak…

Numerical Analysis · Mathematics 2014-12-16 Norbert Heuer , Michael Karkulik

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

This article introduces the DPG-star (from now on, denoted DPG$^*$) finite element method. It is a method that is in some sense dual to the discontinuous Petrov-Galerkin (DPG) method. The DPG methodology can be viewed as a means to solve an…

Numerical Analysis · Mathematics 2020-02-04 Leszek Demkowicz , Jay Gopalakrishnan , Brendan Keith

We propose a least-squares method involving the recovery of the gradient and possibly the Hessian for elliptic equation in nondivergence form. As our approach is based on the Lax--Milgram theorem with the curl-free constraint built into the…

Numerical Analysis · Mathematics 2021-09-08 Omar Lakkis , Amireh Mousavi
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