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In this paper, we introduce a new class of optimization problems whose objective functions are weakly homogeneous relative to the constraint sets. By using the normalization argument in asymptotic analysis, we prove two criteria for the…

Optimization and Control · Mathematics 2022-04-29 Vu Trung Hieu

The approximation properties of a quadratic iso-parametric finite element method for a typical cavitation problem in nonlinear elasticity are analyzed. More precisely, (1) the finite element interpolation errors are established in terms of…

Numerical Analysis · Mathematics 2017-01-06 Chunmei Su , Zhiping Li

This paper presents the development and analysis of an asymptotically compatible (AC) unfitted finite element method for one-dimensional nonlocal elliptic interface problems. The proposed method achieves optimal error estimates through…

Numerical Analysis · Mathematics 2025-12-23 Haixia Dong , Ziqing Xie , Jiwei Zhang

In this paper, we propose and analyze the least squares finite element methods for the linear elasticity interface problem in the stress-displacement system on unfitted meshes. We consider the cases that the interface is $C^2$ or polygonal,…

Numerical Analysis · Mathematics 2023-06-16 Fanyi Yang

A heuristic method to find asymptotic solutions to a system of non-linear wave equations near null infinity is proposed. The non-linearities in this model, dubbed good-bad-ugly, are known to mimic the ones present in the Einstein field…

General Relativity and Quantum Cosmology · Physics 2021-07-07 Miguel Duarte , Justin Feng , Edgar Gasperin , David Hilditch

Fitted finite element methods are constructed for a singularly perturbed convection-diffusion problem in two space dimensions. Exponential splines as basis functions are combined with Shishkin meshes to obtain a stable parameter-uniform…

Numerical Analysis · Mathematics 2023-10-03 Alan F. Hegarty , Eugene O'Riordan

In this paper we consider the problem of the optimal control of an ensemble of affine-control systems. After proving the well-posedness of the minimization problem under examination, we establish a $\Gamma$-convergence result that allows us…

Optimization and Control · Mathematics 2023-11-20 Alessandro Scagliotti

In this manuscript we review some recent results about approximation of solutions of elliptic problems with high-contrast coefficients. In particular, we detail the derivation of asymptotic expansions for the solution in terms of the…

Numerical Analysis · Mathematics 2014-10-07 Leonardo A. Poveda

This paper concerns the inclusion of Newton's method into an adaptive finite element method (FEM) for the solution of nonlinear partial differential equations (PDEs). It features an adaptive choice of the damping parameter in the Newton…

Numerical Analysis · Mathematics 2025-12-23 Philipp Bringmann , Maximilian Brunner , Dirk Praetorius

While there exists a well-developed asymptotic theory of Fr\'echet means of random variables taking values in a general "finite-dimensional" metric space, there are only a few known results in which the random variables can take values in…

Probability · Mathematics 2024-12-30 Adam Quinn Jaffe

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…

Computational Engineering, Finance, and Science · Computer Science 2020-12-24 Ankit Chakraborty , Ajay Rangarajan , Georg May

A design problem of finding an optimally stiff membrane structure by selecting one-dimensional fiber reinforcements is formulated and solved. The membrane model is derived in a novel manner from a particular three-dimensional linear elastic…

Numerical Analysis · Mathematics 2016-09-13 Anders Klarbring , Bo Torstenfelt , Peter Hansbo , Mats G. Larson

We consider a high-dimensional random constrained optimization problem in which a set of binary variables is subjected to a linear system of equations. The cost function is a simple linear cost, measuring the Hamming distance with respect…

Disordered Systems and Neural Networks · Physics 2022-11-23 Alfredo Braunstein , Louise Budzynski , Stefano Crotti , Federico Ricci-Tersenghi

In this paper we consider a family of three-dimensional problems in thermoelasticity for linear elliptic membrane shells and study the asymptotic behaviour of the solution when the thickness tends to zero.We fully characterize with strong…

Analysis of PDEs · Mathematics 2020-12-22 M. T. Cao-Rial , G. Castiñeira , Á. Rodríguez-Arós , S. Roscani

Under a suitable notion of equivalence of integral densities we prove a $\Gamma$-closure theorem for integral functionals: The limit of a sequence of $\Gamma$-convergent families of such functionals is again a $\Gamma$-convergent family.…

Analysis of PDEs · Mathematics 2013-08-06 Martin Jesenko , Bernd Schmidt

Our previous paper applied a lopsided version of the Lov\'asz Local Lemma that allows negative dependency graphs to the space of random injections from an $m$-element set to an $n$-element set. Equivalently, the same story can be told about…

Combinatorics · Mathematics 2014-02-25 Linyuan Lu , Laszlo A. Szekely

In a decision-theoretic framework, the minimax lower bound provides the worst-case performance of estimators relative to a given class of statistical models. For parametric and semiparametric models, the H\'{a}jek--Le Cam local asymptotic…

Statistics Theory · Mathematics 2024-10-22 Kenta Takatsu , Arun Kumar Kuchibhotla

In this paper, we extend the definition of qx-asymptotic function, for extended real-valued function that define on an infinite dimensional topological normed space without lower semicontinuity or quasi-convexity condition. As the main…

Functional Analysis · Mathematics 2023-02-01 Fatemeh Fakhar , Hamid Reza Hajishari , Zeinab Soltani

This paper addresses the asymptotics of functionals with linear growth depending on the Riesz $s$-fractional gradient on piecewise constant functions. We consider a general class of varying energy densities and, as $s\to 1$, we characterize…

Analysis of PDEs · Mathematics 2025-10-07 Stefano Almi , Maicol Caponi , Manuel Friedrich , Francesco Solombrino

A 3D-2D dimension reduction for a nonlinear optimal design problem with a perimeter penalization is performed in the realm of $\Gamma$-convergence, providing an integral representation for the limit functional.

Analysis of PDEs · Mathematics 2012-11-13 Graça Carita , Elvira Zappale