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Let $(M,g_1)$ be a complete $d$-dimensional Riemannian manifold for $d > 1$. Let $\mathcal X_n$ be a set of $n$ sample points in $M$ drawn randomly from a smooth Lebesgue density $f$ supported in $M$. Let $x,y$ be two points in $M$. We…

Probability · Mathematics 2016-11-07 Sung Jin Hwang , Steven B. Damelin , Alfred O. Hero

This paper investigates the complexity of finding secluded paths in graphs. We focus on the \textsc{Short Secluded Path} problem and a natural new variant we introduce, \textsc{Shortest Secluded Path}. Formally, given an undirected graph…

Data Structures and Algorithms · Computer Science 2026-04-07 Tesshu Hanaka , Daisuke Tsuru

Many stochastic time series can be modelled by discrete random walks in which a step of random sign but constant length $\delta x$ is performed after each time interval $\delta t$. In correlated discrete time random walks (CDTRWs), the…

Quantitative Methods · Quantitative Biology 2012-07-06 Claus Metzner

We present linear-space data structures for several frequency queries on trees, namely: path mode, path least frequent element, and path $\alpha$-minority queries. We present the first linear-space data structures, requiring $O(n…

Data Structures and Algorithms · Computer Science 2026-04-22 Ovidiu Rata

We study the distribution of sizes of erased loops for loop-erased random walks on regular and fractal lattices. We show that for arbitrary graphs the probability $P(l)$ of generating a loop of perimeter $l$ is expressible in terms of the…

Statistical Mechanics · Physics 2009-10-30 Deepak Dhar , Abhishek Dhar

Small-world networks (SWN), obtained by randomly adding to a regular structure additional links (AL), are of current interest. In this article we explore (based on physical models) a new variant of SWN, in which the probability of realizing…

Statistical Mechanics · Physics 2009-10-31 S. Jespersen , A. Blumen

This paper studies approximation by shallow ReLU$^s$ networks, $\sigma_s(t)=\max\{0,t\}^s$, together with their generalization behavior under $\ell_1$ path-norm control. For the $L^p$-type integral spaces…

Machine Learning · Statistics 2026-05-27 Weizhao Li , Fanghui Liu , Lei Shi

We present analytical results for the distribution of first-passage (FP) times of random walks (RWs) on random regular graphs that consist of $N$ nodes of degree $c \ge 3$. Starting from a random initial node at time $t=0$, at each time…

Statistical Mechanics · Physics 2022-11-28 Ido Tishby , Ofer Biham , Eytan Katzav

We consider the randomized communication complexity of the distributed $\ell_p$-regression problem in the coordinator model, for $p\in (0,2]$. In this problem, there is a coordinator and $s$ servers. The $i$-th server receives $A^i\in\{-M,…

Data Structures and Algorithms · Computer Science 2023-07-12 Yi Li , Honghao Lin , David P. Woodruff

We investigate by numerical simulation and finite-size analysis the impact of long-range shortcuts on a spatially embedded transportation network. Our networks are built from two-dimensional ($d=2$) square lattices to be improved by the…

Physics and Society · Physics 2018-09-26 Samuel M. da Silva , Saulo D. S. Reis , Ascânio D. Araújo , José S. Andrade,

The Elementary Shortest-Path Problem(ESPP) seeks a minimum cost path from s to t that visits each vertex at most once. The presence of negative-cost cycles renders the problem NP-hard. We present a probabilistic method for finding…

Machine Learning · Computer Science 2025-08-05 Jingyi Chen , Xinyuan Zhang , Xinwu Qian

We consider degree-biased random walkers whose probability to move from a node to one of its neighbors of degree $k$ is proportional to $k^{\alpha}$, where $\alpha$ is a tuning parameter. We study both numerically and analytically three…

Physics and Society · Physics 2014-02-25 Moreno Bonaventura , Vincenzo Nicosia , Vito Latora

In this paper, we show new data structures maintaining approximate shortest paths in sparse directed graphs with polynomially bounded non-negative edge weights under edge insertions. We give more efficient incremental…

Data Structures and Algorithms · Computer Science 2025-02-17 Adam Górkiewicz , Adam Karczmarz

Motivated by multi-domain service function chain (SFC) orchestration, we define the shortest-longest path (SLP) problem, prove its hardness, and design an efficient fully polynomial time approximation scheme (FPTAS) using the dynamic…

Networking and Internet Architecture · Computer Science 2025-02-11 Jianwei Zhang

Given a graph, the shortest-path problem requires finding a sequence of edges with minimum cumulative length that connects a source vertex to a target vertex. We consider a variant of this classical problem in which the position of each…

Discrete Mathematics · Computer Science 2024-05-10 Tobia Marcucci , Jack Umenberger , Pablo A. Parrilo , Russ Tedrake

This paper studies Random and Evolving Apollonian networks (RANs and EANs), in d dimension for any d>=2, i.e. dynamically evolving random d dimensional simplices looked as graphs inside an initial d-dimensional simplex. We determine the…

Probability · Mathematics 2023-09-19 István Kolossváry , Júlia Komjáthy , Lajos Vágó

We consider random singlet phases of spin-$\frac{1}{2}$, random, antiferromagnetic spin chains, in which the universal leading-order divergence $\frac{\ln 2}{3}\ln\ell$ of the average entanglement entropy of a block of $\ell$ spins, as well…

Disordered Systems and Neural Networks · Physics 2021-09-02 Róbert Juhász

Higher order clustering coefficients $C(x)$ are introduced for random networks. The coefficients express probabilities that the shortest distance between any two nearest neighbours of a certain vertex $i$ equals $x$, when one neglects all…

Disordered Systems and Neural Networks · Physics 2009-11-07 Agata Fronczak , Janusz A. Holyst , Maciej Jedynak , Julian Sienkiewicz

Shortest paths problems are subject to extensive studies in classic distributed models such as the CONGEST or Congested Clique. These models dictate how nodes may communicate in order to determine shortest paths in a distributed input…

Data Structures and Algorithms · Computer Science 2023-07-03 Philipp Schneider

Small-world networks are the focus of recent interest because they appear to circumvent many of the limitations of either random networks or regular lattices as frameworks for the study of interaction networks of complex systems. Here, we…

Statistical Mechanics · Physics 2012-03-08 Luis A. Nunes Amaral , Antonio Scala , Marc Barthelemy , H. Eugene Stanley
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