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Embedding techniques allow the approximations of finite dimensional attractors and manifolds of infinite dimensional dynamical systems via subdivision and continuation methods. These approximations give a topological one-to-one image of the…

Dynamical Systems · Mathematics 2019-02-26 Raphael Gerlach , Péter Koltai , Michael Dellnitz

A new numerical approximation method for a class of Gaussian random fields on compact connected oriented Riemannian manifolds is introduced. This class of random fields is characterized by the Laplace--Beltrami operator on the manifold. A…

Numerical Analysis · Mathematics 2023-12-06 Annika Lang , Mike Pereira

Numerical approximation of the Boltzmann equation presents a challenging problem due to its high-dimensional, nonlinear, and nonlocal collision operator. Among the deterministic methods, the Fourier-Galerkin spectral method stands out for…

Numerical Analysis · Mathematics 2021-05-20 Jingwei Hu , Xiaodong Huang , Jie Shen , Haizhao Yang

We present an analysis of stationary discrete shock profiles for a discontinuous Galerkin method approximating scalar nonlinear hyperbolic conservation laws with a convex flux. Using the Godunov method for the numerical flux, we…

Numerical Analysis · Mathematics 2015-04-24 Florent Renac

We develop a geometric and analytic framework for polynomial partial differential equations posed on thin annuli in the plane. Using renormalized Sobolev inner products, we construct Sobolev orthogonal polynomial bases adapted to the thin…

Exactly Solvable and Integrable Systems · Physics 2026-02-16 Jean-Pierre Magnot

We deal with non-hydrostatic mesoscale atmospheric modeling using the fully implicit space-time discontinuous Galerkin method in combination with the anisotropic $hp$-mesh adaptation technique. The time discontinuous approximation allows…

Numerical Analysis · Mathematics 2024-01-22 Vit Dolejsi

We show convergence of solutions to equilibria for quasilinear parabolic evolution equations in situations where the set of equilibria is non-discrete, but forms a finite-dimensional $C^1$-manifold which is normally hyperbolic. Our results…

Analysis of PDEs · Mathematics 2016-12-20 Jan Pruess , Gieri Simonett , Rico Zacher

We study the asymptotic behavior of almost-orbits of abstract evolution systems in Banach spaces with or without a Lipschitz assumption. In particular, we establish convergence, convergence in average and almost-convergence of almost-orbits…

Functional Analysis · Mathematics 2009-04-15 Felipe Alvarez , Juan Peypouquet

We present the first numerical code based on the Galerkin and Collocation methods to integrate the field equations of the Bondi problem. The Galerkin method like all spectral methods provide high accuracy with moderate computational effort.…

General Relativity and Quantum Cosmology · Physics 2015-05-13 H. P. de Oliveira , E. L. Rodrigues

In this paper, we present a staggered discontinuous Galerkin (SDG) method for a class of nonlinear elliptic equations in two dimensions. The SDG methods have some distinctive advantages, and have been successfully applied to a wide range of…

Numerical Analysis · Mathematics 2016-10-10 Eric T. Chung , Ming Fai Lam , Chi Yeung Lam

Complementarity problems and variational inequalities arise in a wide variety of areas, including machine learning, planning, game theory, and physical simulation. In all of these areas, to handle large-scale problem instances, we need fast…

Machine Learning · Computer Science 2013-06-21 Geoffrey J. Gordon

In the first part of this paper, uniqueness of strong solution is established for the Vlasov-unsteady Stokes problem in 3D. The second part deals with a semi discrete scheme, which is based on the coupling of discontinuous Galerkin…

Numerical Analysis · Mathematics 2024-12-17 Harsha Hutridurga , Krishan Kumar , Amiya K. Pani

We propose an efficient variant of a primal Discontinuous Galerkin method with interior penalty for the second order elliptic equations on very general meshes (polytopes with eventually curved boundaries). Efficiency, especially when higher…

Numerical Analysis · Mathematics 2019-03-18 Alexei Lozinski

In this work a solver for instationary two-phase flows on the basis of the extended Discontinuous Galerkin (extended DG/XDG) method is presented. The XDG method adapts the approximation space conformal to the position of the interface. This…

Numerical Analysis · Mathematics 2020-10-19 Martin Smuda , Florian Kummer

We introduce a hybrid method to couple continuous Galerkin finite element methods and high-order finite difference methods in a nonconforming multiblock fashion. The aim is to optimize computational efficiency when complex geometries are…

Numerical Analysis · Mathematics 2021-11-24 Tuan Anh Dao , Ken Mattsson , Murtazo Nazarov

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 give a unified proof for the well-posedness of a class of linear half-space equations with general incoming data and construct a Galerkin method to numerically resolve this type of equations in a systematic way. Our main strategy in both…

Analysis of PDEs · Mathematics 2016-12-01 Qin Li , Jianfeng Lu , Weiran Sun

Stochastic evolution equations in Banach spaces with unbounded nonlinear drift and diffusion operators are considered. Under some regularity condition assumed for the solution, the rate of convergence of implicit Euler approximations is…

Probability · Mathematics 2008-02-20 Istvan Gyöngy , Annie Millet

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

This work focuses on the conservation of quantities such as Hamiltonians, mass, and momentum when solution fields of partial differential equations are approximated with nonlinear parametrizations such as deep networks. The proposed…

Numerical Analysis · Mathematics 2023-10-12 Paul Schwerdtner , Philipp Schulze , Jules Berman , Benjamin Peherstorfer