English
Related papers

Related papers: Cutoff for the cyclic adjacent transposition shuff…

200 papers

The universal anomalous diffusion scaling is obtained for the semiclassical quantum Hall transition, which has been argued to describe samples with dissipation or correlated impurities. The results explain a discrepancy between existing…

Condensed Matter · Physics 2009-11-07 Joel E. Moore

We study both numerically and analytically what happens to a random graph of average connectivity "alpha" when its leaves and their neighbors are removed iteratively up to the point when no leaf remains. The remnant is made of isolated…

Statistical Mechanics · Physics 2009-11-07 M. Bauer , O. Golinelli

Consider the following one player game. A deck containing $m$ copies of $n$ different card types is shuffled uniformly at random. Each round the player tries to guess the next card in the deck, and then the card is revealed and discarded.…

Probability · Mathematics 2021-07-20 Sam Spiro

We propose Continual Repeated Annealed Flow Transport Monte Carlo (CRAFT), a method that combines a sequential Monte Carlo (SMC) sampler (itself a generalization of Annealed Importance Sampling) with variational inference using normalizing…

Machine Learning · Statistics 2023-04-07 Alexander G. D. G. Matthews , Michael Arbel , Danilo J. Rezende , Arnaud Doucet

An error analysis of Runge-Kutta convolution quadrature based on Gauss methods applied to hyperbolic operators is given. The order of convergence relies heavily on the parity of the number of stages, a more favourable situation arising for…

Numerical Analysis · Mathematics 2022-12-15 Lehel Banjai , Matteo Ferrari

The process of alternately row scaling and column scaling a positive $n \times n$ matrix $A$ converges to a doubly stochastic positive $n \times n$ matrix $S(A)$, often called the \emph{Sinkhorn limit} of $A$. The main result in this paper…

Rings and Algebras · Mathematics 2019-10-01 Melvyn B. Nathanson

In this paper we investigate the bifurcation structure of the triangular SKT model in the weak competition regime and of the corresponding fast-reaction system in 1D and 2D domains via numerical continuation methods. We show that the…

Analysis of PDEs · Mathematics 2019-11-06 Christian Kuehn , Cinzia Soresina

We present the results of million atom electronic quantum transport calculations for graphene nanoconstrictions with edges that are smooth apart from atomic scale steps. We find conductances quantized in integer multiples of 2e2/h and a…

Mesoscale and Nanoscale Physics · Physics 2015-06-04 S. Ihnatsenka , G. Kirczenow

We consider a three-dimensional chaotic system consisting of the suspension of Arnold's cat map coupled with a clock via a weak dissipative interaction. We show that the coupled system displays a synchronization phenomenon, in the sense…

Mathematical Physics · Physics 2022-08-23 Leonardo De Carlo , Guido Gentile , Alessandro Giuliani

We show that the hitting time of the discrete time quantum random walk on the n-bit hypercube from one corner to its opposite is polynomial in n. This gives the first exponential quantum-classical gap in the hitting time of discrete quantum…

Quantum Physics · Physics 2007-05-23 Julia Kempe

Dirichlet process mixture models suffer from slow mixing of the MCMC posterior chain produced by stick-breaking Gibbs samplers, as opposed to collapsed Gibbs samplers based on the Polya urn representation which have shorter integrated…

Methodology · Statistics 2024-05-08 Carlo Vicentini

This article aims to present the $AT$ algorithm, a novel two-step iterative approach for approximating fixed points of weak contractions within complete normed linear spaces. The article demonstrates the convergence of $AT$ algorithm…

Classical Analysis and ODEs · Mathematics 2024-07-08 Akansha Tyagi , Sachin Vashistha

Adaptive methods are extremely popular in machine learning as they make learning rate tuning less expensive. This paper introduces a novel optimization algorithm named KATE, which presents a scale-invariant adaptation of the well-known…

Machine Learning · Computer Science 2025-01-15 Sayantan Choudhury , Nazarii Tupitsa , Nicolas Loizou , Samuel Horvath , Martin Takac , Eduard Gorbunov

The modular decomposition of a graph is a canonical representation of its modules. Algorithms for computing the modular decomposition of directed and undirected graphs differ significantly, with the undirected case being simpler, and…

Discrete Mathematics · Computer Science 2017-10-13 Henning Koehler

Spanners have been shown to be a powerful tool in graph algorithms. Many spanner constructions use a certain type of clustering at their core, where each cluster has small diameter and there are relatively few spanner edges between…

Data Structures and Algorithms · Computer Science 2021-11-18 Sebastian Forster , Martin Grösbacher , Tijn de Vos

Unitary transformations are an essential tool for the theoretical understanding of many systems by mapping them to simpler effective models. A systematically controlled variant to perform such a mapping is a perturbative continuous unitary…

Strongly Correlated Electrons · Physics 2015-03-20 H. Krull , N. A. Drescher , G. S. Uhrig

In this article, we prove the cutoff phenomenon for a general class of the discrete-time nonlinear recombination models. This system models the evolution of a probability measure on a finite product space $S^n$ representing the state of…

Probability · Mathematics 2025-10-14 Junho Kim , Insuk Seo

An exponential-time exact algorithm is provided for the task of clustering n items of data into k clusters. Instead of seeking one partition, posterior probabilities are computed for summary statistics: the number of clusters, and pairwise…

Computation · Statistics 2013-10-04 Jukka Kohonen , Jukka Corander

We consider a card guessing game with complete feedback. An ordered deck of $n$ cards labeled $1$ up to $n$ is shelf-shuffled exactly one time. One after the other a single card is drawn from the shuffled deck. The guesser makes has guess…

Combinatorics · Mathematics 2026-02-24 Markus Kuba

It is natural to expect that nonbacktracking random walk will mix faster than simple random walks, but so far this has only been proved in regular graphs. To analyze typical irregular graphs, let $G$ be a random graph on $n$ vertices with…

Probability · Mathematics 2018-05-07 Anna Ben-Hamou , Eyal Lubetzky , Yuval Peres
‹ Prev 1 8 9 10 Next ›