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In pure integer linear programming it is often desirable to work with polyhedra that are full-dimensional, and it is well known that it is possible to reduce any polyhedron to a full-dimensional one in polynomial time. More precisely, using…

Optimization and Control · Mathematics 2024-02-06 Alberto Del Pia

In this work, we study the well-posedness of certain sparse regularized linear regression problems, i.e., the existence, uniqueness and continuity of the solution map with respect to the data. We focus on regularization functions that are…

Statistics Theory · Mathematics 2024-09-06 Jasper Marijn Everink , Yiqiu Dong , Martin Skovgaard Andersen

A novel approach is introduced to a very widely occurring problem, providing a complete, explicit resolution of it: minimisation of a convex quadratic under a general quadratic, equality or inequality, constraint. Completeness comes via…

Optimization and Control · Mathematics 2017-07-21 Casper Albers , Frank Critchley , John Gower

The region of entropic vectors is a convex cone that has been shown to be at the core of many fundamental limits for problems in multiterminal data compression, network coding, and multimedia transmission. This cone has been shown to be…

Information Theory · Computer Science 2015-12-11 Yunshu Liu , John MacLaren Walsh

We decrease the $rms$ mean curvature and area of a variable surface with a fixed boundary by iterating a few times through a curvature-based variational algorithm. For a boundary with a known minimal surface, starting with a deliberately…

Differential Geometry · Mathematics 2018-03-28 Daud Ahmad , Bilal Masud

We give curvature-dependant convergence rates for the optimization of weakly convex functions defined on a manifold of 1-bounded geometry via Riemannian gradient descent and via the dynamic trivialization algorithm. In order to do this, we…

Optimization and Control · Mathematics 2020-08-07 Mario Lezcano-Casado

We study the isoperimetric problem in product spaces equipped with the uniform distance. Our main result is a characterization of isoperimetric inequalities which, when satisfied on a space, are still valid for the product spaces, up a to a…

Functional Analysis · Mathematics 2014-11-14 Franck Barthe , Benoit Huou

We consider curvature depending variational models for image regularization, such as Euler's elastica. These models are known to provide strong priors for the continuity of edges and hence have important applications in shape-and image…

Numerical Analysis · Mathematics 2018-07-31 Antonin Chambolle , Thomas Pock

We obtain some sharp estimates for the $p$-torsion of convex planar domains in terms of their area, perimeter, and inradius. The approach we adopt relies on the use of web functions (i.e. functions depending only on the distance from the…

Optimization and Control · Mathematics 2011-12-22 Ilaria Fragalà , Filippo Gazzola , Jimmy Lamboley

We study an old variational problem formulated by Euler as Proposition 53 of his `Scientia Navalis' by means of the direct method of the calculus of variations. Precisely, through relaxation arguments, we prove the existence of minimizers.…

Optimization and Control · Mathematics 2020-01-17 Francesco Maddalena , Edoardo Mainini , Danilo Percivale

We revisit Allendoerfer-Weil's formula for the Euler characteristic of embedded hypersurfaces in constant sectional curvature manifolds, first taking some time to re-prove it while demonstrating techniques of [2] and then applying it to…

Differential Geometry · Mathematics 2021-09-08 R. Albuquerque

This article investigates the numerical approximation of shape optimization problems with PDE constraint on classes of convex domains. The convexity constraint provides a compactness property which implies well posedness of the problem.…

Optimization and Control · Mathematics 2018-10-26 Sören Bartels , Gerd Wachsmuth

We establish generic regularity results for isoperimetric regions in closed Riemannian manifolds of dimension eight. In particular, we show that every isoperimetric region has a smooth nondegenerate boundary for a generic choice of smooth…

Differential Geometry · Mathematics 2025-11-07 Kobe Marshall-Stevens , Gongping Niu , Davide Parise

We propose an approach based on convex relaxations for certifiably optimal robust multiview triangulation. To this end, we extend existing relaxation approaches to non-robust multiview triangulation by incorporating a truncated least…

Computer Vision and Pattern Recognition · Computer Science 2023-04-06 Linus Härenstam-Nielsen , Niclas Zeller , Daniel Cremers

We begin by studying the surface area of an ellipsoid in n-dimensional Euclidean space as the function of the lengths of the semi-axes. We write down an explicit formula as an integral over the unit sphere in n-dimensions and use this…

Metric Geometry · Mathematics 2007-05-23 Igor Rivin

We prove a generalized isoperimetric inequality for a domain diffeomorphic to a sphere that replaces filling volume with $k$-dilation. Suppose $U$ is an open set in $\mathbb{R}^n$ diffeomorphic to a Euclidean $n$-ball. We show that in…

Differential Geometry · Mathematics 2022-12-29 Elia Portnoy

We introduce discretizations of infinite-dimensional optimization problems with total variation regularization and integrality constraints on the optimization variables. We advance the discretization of the dual formulation of the total…

Numerical Analysis · Mathematics 2024-11-18 Annika Schiemann , Paul Manns

We study in details the isoperimetric profile of product probability measures with tails between the exponential and the Gaussian regime. In particular we exhibit many examples where coordinate half-spaces are approximate solutions of the…

Probability · Mathematics 2007-05-23 Franck Barthe , Patrick Cattiaux , Cyril Roberto

We consider extensions of the Shannon relative entropy, referred to as $f$-divergences.Three classical related computational problems are typically associated with these divergences: (a) estimation from moments, (b) computing normalizing…

Information Theory · Computer Science 2023-09-19 Francis Bach

For general quadratically-constrained quadratic programming (QCQP), we propose a parabolic relaxation described with convex quadratic constraints. An interesting property of the parabolic relaxation is that the original non-convex feasible…

Optimization and Control · Mathematics 2022-08-09 Ramtin Madani , Mersedeh Ashraphijuo , Mohsen Kheirandishfard , Alper Atamturk
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