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Mixed-dimensional partial differential equations (PDEs) are characterized by coupled operators defined on domains of varying dimensions and pose significant computational challenges due to their inherent ill-conditioning. Moreover, the…

Numerical Analysis · Mathematics 2025-05-14 Nunzio Dimola , Nicola Rares Franco , Paolo Zunino

High-dimensional Partial Differential Equations (PDEs) are a popular mathematical modelling tool, with applications ranging from finance to computational chemistry. However, standard numerical techniques for solving these PDEs are typically…

Numerical Analysis · Mathematics 2023-11-22 Weiqi Wang , Simone Brugiapaglia

Elliptic interface problems whose solutions are $C^0$ continuous have been well studied over the past two decades. The well-known numerical methods include the strongly stable generalized finite element method (SGFEM) and immersed FEM…

Numerical Analysis · Mathematics 2023-02-28 Champike Attanayake , So-Hsiang Chou , Quanling Deng

We use a diffuse interface method for solving Poisson's equation with a Dirichlet condition on an embedded curved interface. The resulting diffuse interface problem is identified as a standard Dirichlet problem on approximating regular…

Numerical Analysis · Mathematics 2015-11-23 Matthias Schlottbom

Elastic materials are ubiquitous in nature and indispensable components in man-made devices and equipments. When a device or equipment involves composite or multiple elastic materials, elasticity interface problems come into play. The…

Numerical Analysis · Mathematics 2015-05-20 Bao Wang , Kelin Xia , Guowei Wei

This article presents an error analysis of the symmetric linear/bilinear partially penalized immersed finite element (PPIFE) methods for interface problems of Helmholtz equations. Under the assumption that the exact solution possesses a…

Numerical Analysis · Mathematics 2020-06-22 Ruchi Guo , Tao Lin , Yanping Lin , Qiao Zhuang

This paper introduces general methodologies for constructing closed-form solutions to linear constant-coefficient partial differential equations (PDEs) with polynomial right-hand sides in two and three spatial dimensions. Polynomial…

Numerical Analysis · Mathematics 2023-12-21 Thomas G. Anderson , Marc Bonnet , Luiz M. Faria , Carlos Pérez-Arancibia

For the first time, a nonlinear interface problem on an unbounded domain with nonmonotone set-valued transmission conditions is analyzed. The investigated problem involves a nonlinear monotone partial differential equation in the interior…

Numerical Analysis · Mathematics 2022-09-19 J. Gwinner , N. Ovcharova

This work is concerned with the propagation of uncertainty across coupled domain problems with high-dimensional random inputs. A stochastic model reduction approach based on low-rank separated representations is proposed for the partitioned…

Probability · Mathematics 2015-06-16 Mohammad Hadigol , Alireza Doostan , Hermann G. Matthies , Rainer Niekamp

We present a new formulation based on the classical Dirichlet-Neumann formulation for interface coupling problems in linearized elasticity. By using Taylor series expansions, we derive a new set of interface conditions that allow our…

Numerical Analysis · Mathematics 2017-10-06 Pavel Bochev , James Cheung , Max Gunzburger , Mauro Perego

We propose a new nonconforming \(P_1\) finite element method for elliptic interface problems. The method is constructed on a locally anisotropic mixed mesh, which is generated by fitting the interface through a simple connection of…

Numerical Analysis · Mathematics 2025-10-08 Chenchen Geng , Hua Wang , Qichen Zhang

We investigate the use of non-overlapping domain decomposition (DD) methods for nonlinear structure problems. The classic techniques would combine a global Newton solver with a linear DD solver for the tangent systems. We propose a…

Numerical Analysis · Mathematics 2016-06-22 Camille Negrello , Pierre Gosselet , Christian Rey , Julien Pebrel

Efficient and stable solution of partial differential equations (PDEs) is central to scientific and engineering applications, yet existing numerical solvers rely heavily on matrix based discretizations, while learning based methods require…

Machine Learning · Computer Science 2026-04-30 Yi Bing , Zheng Ran , Fu Jinyang , Liu Long , Peng Xiang

Physics-based models often involve large systems of parametrized partial differential equations, where design parameters control various properties. However, high-fidelity simulations of such systems on large domains or with high grid…

Computational Physics · Physics 2025-05-15 Diba Behnoudfar

In the context of unfitted finite element discretizations the realization of high order methods is challenging due to the fact that the geometry approximation has to be sufficiently accurate. Recently a new unfitted finite element method…

Numerical Analysis · Mathematics 2017-09-01 Christoph Lehrenfeld , Arnold Reusken

We consider the discretization of a stationary Stokes interface problem in a velocity-pressure formulation. The interface is described implicitly as the zero level of a scalar function as it is common in level set based methods. Hence, the…

Numerical Analysis · Mathematics 2016-05-16 Philip Lederer , Carl-Martin Pfeiler , Christoph Wintersteiger , Christoph Lehrenfeld

This paper is devoted to studying a type of contact problems modeled by hemivariational inequalities with small periodic coefficients appearing in PDEs, and the PDEs we considered are linear, second order and uniformly elliptic. Under the…

Numerical Analysis · Mathematics 2021-11-15 Changqing Ye , Junzhi Cui

We study an optimal control problem governed by elliptic PDEs with interface, which the control acts on the interface. Due to the jump of the coefficient across the interface and the control acting on the interface, the regularity of…

Numerical Analysis · Mathematics 2023-09-19 Zhiyue Zhang , Kazufumi Ito , Zhilin Li

In this paper, a shape optimization problem constrained by a random elliptic partial differential equation with a pure Neumann boundary is presented. The model is motivated by applications in interface identification, where we assume…

Optimization and Control · Mathematics 2020-02-04 Caroline Geiersbach , Estefania Loayza , Kathrin Welker

We present two effective methods for solving high-dimensional partial differential equations (PDE) based on randomized neural networks. Motivated by the universal approximation property of this type of networks, both methods extend the…

Numerical Analysis · Mathematics 2023-09-14 Yiran Wang , Suchuan Dong