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相关论文: Direct meshless local Petrov-Galerkin (DMLPG) meth…

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It is shown that the computational efficiency of the discrete least-squares (DLS) approximation of solutions of stochastic elliptic PDEs is improved by incorporating a reduced-basis method into the DLS framework. The goal is to recover the…

数值分析 · 数学 2017-11-09 Max Gunzburger , Michael Schneier , Clayton Webster , Guannan Zhang

In this work, we discuss and develop multidimensional limiting techniques for discontinuous Galerkin (DG) discretizations of scalar hyperbolic problems. To ensure that each cell average satisfies a local discrete maximum principle (DMP), we…

数值分析 · 数学 2020-12-30 Dmitri Kuzmin

The Material Point Method (MPM) is a hybrid Eulerian Lagrangian simulation technique for solid mechanics with significant deformation. Structured background grids are commonly employed in the standard MPM, but they may give rise to several…

计算工程、金融与科学 · 计算机科学 2024-08-02 Yadi Cao , Yidong Zhao , Minchen Li , Yin Yang , Jinhyun Choo , Demetri Terzopoulos , Chenfanfu Jiang

For the purpose of finding benchmark quality solutions to time dependent Sn transport problems, we develop a numerical method in a Discontinuous Galerkin (DG) framework that utilizes time dependent cell edges, which we call a moving mesh,…

计算工程、金融与科学 · 计算机科学 2022-09-14 William Bennett , Ryan G. McClarren

We develop the Randomized Neural Networks with Petrov-Galerkin Methods (RNN-PG methods) to solve linear elasticity problems. RNN-PG methods use Petrov-Galerkin variational framework, where the solution is approximated by randomized neural…

数值分析 · 数学 2023-08-08 Yong Shang , Fei Wang

We extend the discontinuous Galerkin (DG) framework to a linear second-order elliptic problem on a compact smooth connected and oriented surface. An interior penalty (IP) method is introduced on a discrete surface and we derive a-priori…

数值分析 · 数学 2013-01-11 Andreas Dedner , Pravin Madhavan , Björn Stinner

We develop and analyze strategies to couple the discontinuous Petrov-Galerkin method with optimal test functions to (i) least-squares boundary elements and (ii) various variants of standard Galerkin boundary elements. Essential feature of…

数值分析 · 数学 2015-08-05 Thomas Führer , Norbert Heuer , Michael Karkulik

We develop a general convergence theory for adaptive discontinuous Galerkin methods for elliptic PDEs covering the popular SIPG, NIPG and LDG schemes as well as all practically relevant marking strategies. Another key feature of the…

数值分析 · 数学 2020-09-07 Christian Kreuzer , Emmanuil H. Georgoulis

The aim of this work is the application of the Meshfree methods for solving systems of stiff ordinary differential equations. These methods are based on the Moving least squares (MLS), generalized moving least squares (GMLS) approximation…

数值分析 · 数学 2016-11-29 M. Matin far , M. Pourabda , E. Taghizadea

Certain Petrov-Galerkin schemes are inherently stable formulations of variational problems on a given mesh. This stability is primarily obtained by computing an optimal test basis for a given approximation space. Furthermore, these…

计算工程、金融与科学 · 计算机科学 2020-12-24 Ankit Chakraborty , Ajay Rangarajan , Georg May

We derive an ultraweak variational formulation of the quad-curl problem in two and three dimensions. We present a discontinuous Petrov-Galerkin (DPG) method for its approximation and prove its quasi-optimal convergence. We illustrate how…

数值分析 · 数学 2023-01-26 Thomas Führer , Pablo Herrera , Norbert Heuer

We propose a family of high-order local discontinuous Galerkin (LDG) methods, built on a parametric representation and coupled with a semi-implicit backward Euler time discretization, for isotropic and anisotropic curve-shortening flows.…

数值分析 · 数学 2026-04-06 Xiuhui Guo , Wei Jiang , Chunmei Su

We present a scheme implementing an a posteriori refinement strategy in the context of a high-order meshless method for problems involving point singularities and fluid-solid interfaces. The generalized moving least squares (GMLS)…

计算物理 · 物理学 2019-07-24 Wei Hu , Nathaniel Trask , Xiaozhe Hu , Wenxiao Pan

This paper is concerned with developing accurate and efficient numerical methods for one-dimensional fully nonlinear second order elliptic and parabolic partial differential equations (PDEs). In the paper we present a general framework for…

数值分析 · 数学 2012-12-04 Xiaobing Feng , Thomas Lewis

Trigonometric polynomials are widely used for the approximation of a smooth function $f$ from a set of nonuniformly spaced samples $\{f(x_j)\}_{j=0}^{N-1}$. If the samples are perturbed by noise, controlling the smoothness of the…

数值分析 · 数学 2025-10-20 Thomas Strohmer

We formulate a new projection-based reduced-ordered modeling technique for non-linear dynamical systems. The proposed technique, which we refer to as the Adjoint Petrov-Galerkin (APG) method, is derived by decomposing the generalized…

动力系统 · 数学 2019-08-30 Eric J. Parish , Christopher Wentland , Karthik Duraisamy

This paper constitutes our initial effort in developing sparse grid discontinuous Galerkin (DG) methods for high-dimensional partial differential equations (PDEs). Over the past few decades, DG methods have gained popularity in many…

数值分析 · 数学 2016-04-20 Zixuan Wang , Qi Tang , Wei Guo , Yingda Cheng

We develop and analyze a local discontinuous Galerkin (LDG) method for solving integral fractional Laplacian problems on bounded Lipschitz domains. The method is based on a three-field mixed formulation involving the primal variable, its…

数值分析 · 数学 2025-12-16 Rubing Han , Shuonan Wu , Hao Zhou

We propose a multiscale spectral generalized finite element method (MS-GFEM) for discontinuous Galerkin (DG) discretizations. The method builds local approximations on overlapping subdomains as the sum of a local source solution and a…

数值分析 · 数学 2026-01-15 Christian Alber , Lukas Holbach

This paper presents a generalized weak Galerkin (gWG) finite element method for linear elasticity problems on general polygonal and polyhedral meshes. The proposed framework is flexible and efficient, allowing for the use of nonpolynomial…

数值分析 · 数学 2026-01-27 Junping Wang , Yue Wang