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Related papers: Buffon-Laplace Needle Problem as a geometric proba…

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In this paper we modify the method of Nazarov, Peres, and Volberg "The power law for the Buffon needle probability of the four-corner Cantor set", arXiv:0801.2942, to get an estimate from above of the Buffon needle probability of the…

Classical Analysis and ODEs · Mathematics 2009-06-10 Matthew Bond , Alexander Volberg

The transport of an infinitely thin, hard rod in a random, dense array of point obstacles is investigated by molecular dynamics simulations. Our model mimics the sterically hindered dynamics in dense needle liquids. The center-of-mass…

Statistical Mechanics · Physics 2008-09-22 Felix Höfling , Erwin Frey , Thomas Franosch

Manufacturing of particulate products across many industries relies on accurate measurements of particle size distributions in dispersions or powders. Laser diffraction (or small angle light scattering) is commonly used, usually off-line,…

Soft Condensed Matter · Physics 2016-10-18 Okpeafoh S. Agimelen , Anthony J. Mulholland , Jan Sefcik

Let $\Omega \subset \mathbb{R}^2$ be a convex set. We study the problem of distributing a one-dimensional set $S$ with total length $L$ so that for any line $\ell$ in $\mathbb{R}^2$ the number of intersections $\#(\ell \cap S)$ is…

Classical Analysis and ODEs · Mathematics 2026-03-31 Stefan Steinerberger

There is well-known problem of geometric probability which can be quote as the Broken Spaghetti Problem. It addresses the following question: A stick of spaghetti breaks into three parts and all points of the stick have the same probability…

History and Overview · Mathematics 2022-09-30 ElHadji Abdou Aziz Diop , Masseye Gaye , Abdoul Karim Sane

Current approximate posteriors in Bayesian neural networks (BNNs) exhibit a crucial limitation: they fail to maintain invariance under reparameterization, i.e. BNNs assign different posterior densities to different parametrizations of…

Machine Learning · Computer Science 2025-02-12 Hrittik Roy , Marco Miani , Carl Henrik Ek , Philipp Hennig , Marvin Pförtner , Lukas Tatzel , Søren Hauberg

When an open tube of small diameter touches a bubble of a larger diameter, the bubble spontaneously shrinks and pushes a soap film in the tube. We characterize the dynamics for different bubble sizes and number of soap films in the tube. We…

Soft Condensed Matter · Physics 2023-06-29 Alexis Commereuc , Manon Marchand , Emmanuelle Rio , François Boulogne

We initiate the study of the following natural geometric optimization problem. The input is a set of axis-aligned rectangles in the plane. The objective is to find a set of horizontal line segments of minimum total length so that every…

Computational Geometry · Computer Science 2018-06-11 Timothy M. Chan , Thomas C. van Dijk , Krzysztof Fleszar , Joachim Spoerhase , Alexander Wolff

In this paper, we study the Favard length of some random Cantor sets of Hausdorff dimension 1. We start with a unit disk in the plane and replace the unit disk by $4$ disjoint subdisks (with equal distance to each other) of radius $1/4$…

Analysis of PDEs · Mathematics 2018-01-31 Shiwen Zhang

Bootstrap particle filter (BPF) is the corner stone of many popular algorithms used for solving inference problems involving time series that are observed through noisy measurements in a non-linear and non-Gaussian context. The long term…

Computation · Statistics 2018-12-05 Kari Heine , Nick Whiteley , A. Taylan Cemgil

Multi-modal datasets, like those involving images, often miss the detailed descriptions that properly capture the rich information encoded in each item. This makes answering complex natural language queries a major challenge in this domain.…

Information Retrieval · Computer Science 2025-06-03 Mahdi Erfanian , Mohsen Dehghankar , Abolfazl Asudeh

We define an operator which extends classical differentiation from smooth deterministic functions to certain stochastic processes. Based on this operator, we define a procedure which associates a stochastic analog to standard differential…

Probability · Mathematics 2016-08-16 Jacky Cresson , Sébastien Darses

Laplace pressure driven snap-off is a technique that is used to produce droplets for emulsions and microfluidics purposes. Previous predictions of droplet size have assumed a quasi-equilibrium low flow limit. We present a simple model to…

Fluid Dynamics · Physics 2016-09-16 Solomon Barkley , Samantha J. Scarfe , Eric R. Weeks , Kari Dalnoki-Veress

Cutting and packing problems arise in a large variety of industrial applications, where there is a need to cut pieces from a large object, or placing them inside a containers, without overlap. When the pieces or the containers have…

Computational Geometry · Computer Science 2019-03-28 Pedro Rocha

A major challenge facing existing sequential Monte-Carlo methods for parameter estimation in physics stems from the inability of existing approaches to robustly deal with experiments that have different mechanisms that yield the results…

Quantum Physics · Physics 2017-09-13 Christopher Granade , Nathan Wiebe

A two--step Christoffel function based solution is proposed to distribution regression problem. On the first step, to model distribution of observations inside a bag, build Christoffel function for each bag of observations. Then, on the…

Machine Learning · Computer Science 2015-11-24 Vladislav Gennadievich Malyshkin

We study a one dimensional gas of needle-like objects as a testing ground for a formalism that relates the thermodynamic properties of "hard" potentials to the probabilities for contacts between particles. Specifically, we use Monte Carlo…

Statistical Mechanics · Physics 2009-10-27 Yacov Kantor , Mehran Kardar

We consider the numerical approximation of the filtering problem in high dimensions, that is, when the hidden state lies in $\mathbb{R}^d$ with $d$ large. For low dimensional problems, one of the most popular numerical procedures for…

Computation · Statistics 2014-12-12 Alex Beskos , Dan Crisan , Ajay Jasra , Kengo Kamatani , Yan Zhou

We develop a numerical method for solving a free boundary problem which describes shape relaxation, by surface tension, of a long and thin bubble of an inviscid fluid trapped inside a viscous fluid in a Hele-Shaw cell. The method of…

Computational Physics · Physics 2007-05-23 Arkady Vilenkin , Baruch Meerson

Droplet nucleation and evaporation are ubiquitous in nature and many technological applications, such as phase-change cooling and boiling heat transfer. So far, the description of these phenomena at the molecular scale has posed challenges…

Fluid Dynamics · Physics 2023-11-28 Panagiotis E. Theodorakis , Y. Wang , A. Chen , B. Liu