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We study the obstacle problem for the Evolutionary p-Laplace Equation when the obstacle is discontinuous and without regularity in the time variable. Two quite different procedures yield the same solution.

Analysis of PDEs · Mathematics 2010-11-09 Peter Lindqvist , Mikko Parviainen

This paper is devoted to the study of a novel mixed Finite Element Method for approximating the solutions of fourth order variational problems subjected to a constraint. The first problem we consider consists in establishing the convergence…

Numerical Analysis · Mathematics 2025-11-04 Paolo Piersanti , Tianyu Sun

We consider an optimal control problem for the obstacle problem with an elliptic variational inequality. The obstacle function which is the control function is assumed in $H^{2}$. We use an approximate technique to introduce a family of…

Optimization and Control · Mathematics 2008-12-18 Radouen Ghanem

A variational framework for accelerated optimization was recently introduced on normed vector spaces and Riemannian manifolds in Wibisono et al. (2016) and Duruisseaux and Leok (2021). It was observed that a careful combination of…

Optimization and Control · Mathematics 2023-05-16 Valentin Duruisseaux , Melvin Leok

In this work we consider a question in the calculus of variations motivated by riemannian geometry, the isoperimetric problem. We show that solutions to the isoperimetric problem, close in the flat norm to a smooth submanifold, are…

Differential Geometry · Mathematics 2020-07-16 Stefano Nardulli

We establish new existence and non-existence results for positive solutions of the Einstein-scalar field Lichnerowicz equation on compact manifolds. This equation arises from the Hamiltonian constraint equation for the Einstein-scalar field…

General Relativity and Quantum Cosmology · Physics 2008-11-26 Emmanuel Hebey , Frank Pacard , Daniel Pollack

This paper presents a derivation of the parallel transport equation expressed in the Lie algebra of a Lie group endowed with a left-invariant metric.The use of this equation is exemplified on the group of rigid body motions SE(3), using…

Differential Geometry · Mathematics 2021-03-04 Nicolas Guigui , Xavier Pennec

A variational formulation of accelerated optimization on normed spaces was recently introduced by considering a specific family of time-dependent Bregman Lagrangian and Hamiltonian systems whose corresponding trajectories converge to the…

Optimization and Control · Mathematics 2022-01-11 Valentin Duruisseaux , Melvin Leok

In this paper we study a class of Riemannian metrics on the space of unparametrized curves and develop a method to compute geodesics with given boundary conditions. It extends previous works on this topic in several important ways. The…

Differential Geometry · Mathematics 2018-09-21 Martin Bauer , Martins Bruveris , Nicolas Charon , Jakob Møller-Andersen

Mixed variational formulations for the first-order system of the elastic membrane obstacle problem and the second-order system of the Kirchhoff--Love plate obstacle problem are proposed. The force exerted by the rigid obstacle is included…

Numerical Analysis · Mathematics 2024-06-17 Thomas Führer , Francisco Fuica

We investigate the existence and uniqueness of solutions for second-order semi-linear partial differential equations defined on a Riemannian manifold $M$. By combining differential geometry and analysis techniques, we establish the…

Analysis of PDEs · Mathematics 2025-07-16 Nicolas Martinez-Alba , Oscar Riaño

We introduce anti-invariant Riemannian submersions from cosymplectic manifolds onto Riemannian manifolds. We survey main results of anti-invariant Riemannian submersions defined on cosymplectic manifolds. We investigate necessary and…

Differential Geometry · Mathematics 2013-09-11 C. Murathan , I. Küpeli Erken

In the paper, we consider the obstacle problem, with one and two irregular barriers, for semilinear evolution equation involving measure data and operator corresponding to a semi-Dirichlet form. We prove the existence and uniqueness of…

Analysis of PDEs · Mathematics 2018-08-31 Tomasz Klimsiak

Understanding how systems built out of modular components can be jointly optimized is an important problem in biology, engineering, and machine learning. The backpropagation algorithm is one such solution and has been instrumental in the…

Machine Learning · Computer Science 2026-03-05 Christian Pehle , Jean-Jacques Slotine

We give obstructions for a noncompact manifold to admit a complete Riemannian metric with (nonuniformly) positive scalar curvature. We treat both the finite volume and infinite volume cases.

Differential Geometry · Mathematics 2025-09-23 John Lott

We present new geometric intuition on dynamical versions of regularized optimal transport. We introduce two families of variational problems on Riemannian manifolds which contain analogues of the Schr\"odinger bridge problem and the Yasue…

Optimization and Control · Mathematics 2017-04-24 Flavien Léger

We investigate the obstacle problem for a class of nonlinear equations driven by nonlocal, possibly degenerate, integro-differential operators, whose model is the fractional $p$-Laplacian operator with measurable coefficients. Amongst other…

Analysis of PDEs · Mathematics 2016-04-18 Janne Korvenpaa , Tuomo Kuusi , Giampiero Palatucci

The inverse problem of the calculus of variations consists in determining if the solutions of a given system of second order differential equations correspond with the solutions of the Euler-Lagrange equations for some regular Lagrangian.…

Differential Geometry · Mathematics 2016-03-27 María Barbero-Liñán , Marta Farré Puiggalí , David Martín de Diego

The present contribution investigates shape optimisation problems for a class of semilinear elliptic variational inequalities with Neumann boundary conditions. Sensitivity estimates and material derivatives are firstly derived in an…

Optimization and Control · Mathematics 2016-09-16 Christian Heinemann , Kevin Sturm

We propose a solution to the problem of estimating a Riemannian metric associated with a given differentiable manifold. The metric learning problem is based on minimizing the relative volume of a given set of points. We derive the details…

Machine Learning · Computer Science 2012-12-12 Guy Lebanon
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