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Related papers: Fr\'echet Distance for Uncertain Curves

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Fr\'echet means, conceptually appealing, generalize the Euclidean expectation to general metric spaces. We explore how well Fr\'echet means can be estimated from independent and identically distributed samples and uncover a fundamental…

Statistics Theory · Mathematics 2024-02-20 Shayan Hundrieser , Benjamin Eltzner , Stephan F. Huckemann

Fr\'echet means are a popular type of average for non-Euclidean datasets, defined as those points which minimise the average squared distance to a set of data points. We consider the behaviour of sample Fr\'echet means on normed spaces…

Probability · Mathematics 2026-03-18 Roan Talbut , Andrew McCormack , Anthea Monod

For most optimisation methods an essential assumption is the vector space structure of the feasible set. This condition is not fulfilled if we consider optimisation problems over the sphere. We present an algorithm for solving a special…

Computation · Statistics 2018-02-27 Gabriele Eichfelder , Thomas Hotz , Johannes Wieditz

We study range spaces, where the ground set consists of either polygonal curves in $\mathbb{R}^d$ or polygonal regions in the plane that may contain holes and the ranges are balls defined by an elastic distance measure, such as the…

Computational Geometry · Computer Science 2023-12-07 Frederik Brüning , Anne Driemel

The article analyzes similarity of closed polygonal curves in Frechet metric, which is stronger than the well-known Hausdorff metric and therefore is more appropriate in some applications. An algorithm that determines whether the Frechet…

Computational Geometry · Computer Science 2014-09-17 M. I. Schlesinger , E. V. Vodolazskiy , V. M. Yakovenko

We develop a new technique for constructing sparse graphs that allow us to prove near-linear lower bounds on the round complexity of computing distances in the CONGEST model. Specifically, we show an $\widetilde{\Omega}(n)$ lower bound for…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-05-18 Amir Abboud , Keren Censor-Hillel , Seri Khoury

The Dynamic Time Warping (DTW) distance is a popular similarity measure for polygonal curves (i.e., sequences of points). It finds many theoretical and practical applications, especially for temporal data, and is known to be a robust,…

Computational Geometry · Computer Science 2023-11-14 Karl Bringmann , Nick Fischer , Ivor van der Hoog , Evangelos Kipouridis , Tomasz Kociumaka , Eva Rotenberg

(see paper for full abstract) Cut problems and connectivity problems on digraphs are two well-studied classes of problems from the viewpoint of parameterized complexity. After a series of papers over the last decade, we now have (almost)…

Data Structures and Algorithms · Computer Science 2019-10-07 Rajesh Chitnis , Andreas Emil Feldmann

We study shortest paths and their distances on a subset of a Euclidean space, and their approximation by their equivalents in a neighborhood graph defined on a sample from that subset. In particular, we recover and extend the results of…

Computational Geometry · Computer Science 2018-10-26 Ery Arias-Castro , Thibaut Le Gouic

We investigate error bounds for numerical solutions of divergence structure linear elliptic PDEs on compact manifolds without boundary. Our focus is on a class of monotone finite difference approximations, which provide a strong form of…

Numerical Analysis · Mathematics 2023-06-05 Brittany Froese Hamfeldt , Axel G. R. Turnquist

In the classic polyline simplification problem we want to replace a given polygonal curve $P$, consisting of $n$ vertices, by a subsequence $P'$ of $k$ vertices from $P$ such that the polygonal curves $P$ and $P'$ are as close as possible.…

Computational Geometry · Computer Science 2025-09-15 Karl Bringmann , Bhaskar Ray Chaudhury

The purpose of this paper is to study metrics suitable for assessing uncertainty of power spectra when these are based on finite second-order statistics. The family of power spectra which is consistent with a given range of values for the…

Systems and Control · Computer Science 2015-03-20 Johan Karlsson , Tryphon T. Georgiou

For a set $Q$ of points in the plane and a real number $\delta \ge 0$, let $\mathbb{G}_\delta(Q)$ be the graph defined on $Q$ by connecting each pair of points at distance at most $\delta$. We consider the connectivity of…

Computational Geometry · Computer Science 2023-12-13 Sergio Cabello , David Gajser

This work proposes an algorithm to bound the minimum distance between points on trajectories of a dynamical system and points on an unsafe set. Prior work on certifying safety of trajectories includes barrier and density methods, which do…

Optimization and Control · Mathematics 2023-06-16 Jared Miller , Mario Sznaier

Semi-discrete optimal transport problems, which evaluate the Wasserstein distance between a discrete and a generic (possibly non-discrete) probability measure, are believed to be computationally hard. Even though such problems are…

Machine Learning · Computer Science 2022-05-02 Bahar Taskesen , Soroosh Shafieezadeh-Abadeh , Daniel Kuhn

We introduce and discuss Fr\'echet differentiability for maps between Fr\'echet spaces. For delay differential equations $x'(t)=f(x_t)$ we construct a continuous semiflow of continuously differentiable solution operators $x_0\mapsto x_t$,…

Dynamical Systems · Mathematics 2018-01-30 Hans-Otto Walther

We investigate quantifying the difference between two hybrid dynamical systems under noise and initial-state uncertainty. While the set of traces for these systems is infinite, it is possible to symbolically approximate trace sets using…

Systems and Control · Computer Science 2016-02-16 Rupak Majumdar , Vinayak S. Prabhu

Error bounds have been studied for more than seventy years, beginning with the seminal result of Hoffman (1952) [{\it J. Res. Natl. Bur. Standards}, 49 (1952), 263--265], which establishes an upper bound for the distance from an arbitrary…

Optimization and Control · Mathematics 2026-05-25 Zhou Wei , Michel Thera , Jen-Chih Yao

The Distance Geometry Problem (DGP) seeks to find positions for a set of points in geometric space when some distances between pairs of these points are known. The so-called discretization assumptions allow to discretize the search space of…

Optimization and Control · Mathematics 2021-07-02 Moira MacNeil , Merve Bodur

We derive a Cram\'er-Rao lower bound for the variance of Floquet multiplier estimates that have been constructed from stable limit cycles perturbed by noise. To do so, we consider perturbed periodic orbits in the plane. We use a periodic…

Dynamical Systems · Mathematics 2017-11-30 Aurya Javeed
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