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相关论文: A nongraphical obstacle problem for elastic curves

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In many problems in optimal control, one seeks to minimise an objective function subject to constraints on the velocity of the system. Imposing these constraints directly -- the ``hard-constrained'' approach -- is often analytically and…

最优化与控制 · 数学 2026-04-27 Rufus Lawrence , Aleš Wodecki , Johannes Aspman , Jakub Mareček

This paper is concerned with a shape optimization problem governed by a non-smooth PDE, i.e., the nonlinearity in the state equation is not necessarily differentiable. We follow the functional variational approach of [40] where the set of…

最优化与控制 · 数学 2025-02-10 Livia Betz

We consider a class of constrained optimization problems with a possibly nonconvex non-Lipschitz objective and a convex feasible set being the intersection of a polyhedron and a possibly degenerate ellipsoid. Such problems have a wide range…

最优化与控制 · 数学 2016-04-08 Xiaojun Chen , Zhaosong Lu , Ting Kei Pong

We consider a nonlinear, frame indifferent Griffith model for nonsimple brittle materials where the elastic energy also depends on the second gradient of the deformations. In the framework of free discontinuity and gradient discontinuity…

偏微分方程分析 · 数学 2019-09-25 Manuel Friedrich

We study the $\Gamma$-convergence of a class of elastica-type energies defined on immersed planar curves and depending on a small positive parameter $\epsilon$. As $\epsilon\to 0^+$, sequences with equibounded energy develop concentration…

偏微分方程分析 · 数学 2026-05-12 Giovanni Bellettini , Virginia Lorenzini , Matteo Novaga , Riccardo Scala

Given a graph $G$, an {\em obstacle representation} of $G$ is a set of points in the plane representing the vertices of $G$, together with a set of connected obstacles such that two vertices of $G$ are joined by an edge if and only if the…

组合数学 · 数学 2011-03-15 Padmini Mukkamala , János Pach , Dömötör Pálvölgyi

We prove the existence of minimisers for a family of models related to the single-slip-to-single-plane relaxation of single-crystal, strain-gradient elastoplasticity with $L^p$-hardening penalty. In these relaxed models, where only one…

偏微分方程分析 · 数学 2017-01-05 Keith Anguige , Patrick Dondl , Martin Kružík

We study the planar least gradient problem with respect to an anisotropic norm $\phi$ for continuous boundary data. We prove existence of minimizers for strictly convex domains $\Omega$. Furthermore, we inspect the issue of uniqueness and…

偏微分方程分析 · 数学 2018-06-07 Wojciech Górny

Linear-width is a well-known and highly regarded graph parameter. The concept of Single Ideal and Linear obstacle serves as an obstruction to linear-width on a connectivity sysem. In this concise paper, we present an alternative proof for…

离散数学 · 计算机科学 2026-03-03 Takaaki Fujita

The nonlinear mechanics of a flexible elastic rod constrained at its edges by a pair of sliding sleeves is analyzed. The planar equilibrium configurations of this variable-length elastica are found to have shape defined only by the…

软凝聚态物质 · 物理学 2024-09-19 Alessandro Cazzolli , Francesco Dal Corso

It is shown that in the planar equal-mass four-body problem, there exist two sets of new action minimizers connecting two planar boundary configurations with fixed symmetry axes and specific order constraints on the four bodies: a double…

动力系统 · 数学 2017-10-30 Duokui Yan

We are concerned with a variant of the isoperimetric problem, which in our setting arises in a geometrically nonlinear two-well problem in elasticity. More precisely, we investigate the optimal scaling of the energy of an elastic inclusion…

偏微分方程分析 · 数学 2024-05-22 Ibrokhimbek Akramov , Hans Knüpfer , Martin Kružík , Angkana Rüland

In this paper, we deal with an obstacle placement problem inside a disk, that can be formulated as an energy minimization problem with respect to the rotations of the obstacle about its center, with respect to the translations of the…

偏微分方程分析 · 数学 2019-12-17 Anisa M H Chorwadwala

We learn parameterized nonlinear elasticity on curved surfaces using a physics-informed neural network that enforces governing equations and boundary conditions directly through the loss function, enabling a single trained model to…

生物物理 · 物理学 2026-04-15 Yankang Liu , Ke Zhang , Maziar Raissi , Roya Zandi

Kernelization is an important tool in parameterized algorithmics. Given an input instance accompanied by a parameter, the goal is to compute in polynomial time an equivalent instance of the same problem such that the size of the reduced…

计算复杂性 · 计算机科学 2018-10-23 Till Fluschnik , George B. Mertzios , André Nichterlein

An optimal control problem subject to an elliptic obstacle problem is studied. We obtain a numerical approximation of this problem by discretising the PDE obtained via a Moreau--Yosida type penalisation. For the resulting discrete control…

最优化与控制 · 数学 2018-10-22 Ahmad Ahmad Ali , Klaus Deckelnick , Michael Hinze

We discuss a variational model, given by a weighted sum of perimeter, bending and Riesz interaction energies, that could be considered as a toy model for charged elastic drops. The different contributions have competing preferences for…

偏微分方程分析 · 数学 2025-10-15 Michael Goldman , Matteo Novaga , Matthias Röger

We establish local existence and a quasi-optimal error estimate for piecewise cubic minimizers to the bending energy under a discretized inextensibility constraint. In previous research a discretization is used where the inextensibility…

数值分析 · 数学 2025-09-03 Sören Bartels , Balázs Kovács , Dominik Schneider

We consider the cylindrical bending problem for an infinite plate as modelled with a family of generalized continuum models, including the micromorphic approach. The models allow to describe length scale effects in the sense that thinner…

经典分析与常微分方程 · 数学 2021-03-31 Gianluca Rizzi , Geralf Hütter , Angela Madeo , Patrizio Neff

We investigate a homogenization problem related to a non-local interface energy with a periodic forcing term. We show the existence of planelike minimizers for such energy. Moreover, we prove that, under suitable assumptions on the…

偏微分方程分析 · 数学 2026-01-19 Serena Dipierro , Matteo Novaga , Enrico Valdinoci , Riccardo Villa