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The most efficient way to calculate strong bisimilarity is by calculation the relational coarsest partition on a transition system. We provide the first linear time algorithm to calculate strong bisimulation using parallel random access…

分布式、并行与集群计算 · 计算机科学 2021-05-26 Jan Martens , Jan Friso Groote , Lars van den Haak , Pieter Hijma , Anton Wijs

Inductive Recommender Systems are capable of recommending for new users and with new items thus avoiding the need to retrain after new data reaches the system. However, these methods are still trained on all the data available, requiring…

信息检索 · 计算机科学 2025-10-06 Theis E. Jendal , Matteo Lissandrini , Peter Dolog , Katja Hose

We base ourselves on the construction of the two-dimensional random interlacements [12] to define the one-dimensional version of the process. For this constructions we consider simple random walks conditioned on never hitting the origin,…

概率论 · 数学 2016-08-04 Darcy Camargo , Serguei Popov

We propose the use of quantum optical systems to perform universal simulation of quantum dynamics. Two specific implementations that require present technology are put forward for illustrative purposes. The first scheme consists of neutral…

量子物理 · 物理学 2007-05-23 E. Jané , G. Vidal , W. Dür , P. Zoller , J. I. Cirac

We prove exact bounds on the time complexity of distributed graph colouring. If we are given a directed path that is properly coloured with $n$ colours, by prior work it is known that we can find a proper 3-colouring in $\frac{1}{2}…

分布式、并行与集群计算 · 计算机科学 2015-02-27 Joel Rybicki , Jukka Suomela

We give a series of new lower bounds on the minimum number of vertices required by a graph to contain every graph of a given family as induced subgraph. In particular, we show that this induced-universal graph for $n$-vertex planar graphs…

组合数学 · 数学 2025-08-18 Cyril Gavoille , Amaury Jacques

The cover time of a finite connected graph is the expected number of steps needed for a simple random walk on the graph to visit all vertices of the graph. It is known that the cover time of any finite connected $n$-vertex graph is at least…

离散数学 · 计算机科学 2022-05-10 Naoki Matsumoto , Yuuki Takai

Several inequalities are proved for the mixing time of discrete-time quantum walks on finite graphs. The mixing time is defined differently than in Aharonov, Ambainis, Kempe and Vazirani (2001) and it is found that for particular examples…

概率论 · 数学 2010-07-23 Vladislav Kargin

We perform a systematic comparison of various numerical schemes for the approximation of interface problems. We consider unfitted approaches in view of their application to possibly moving configurations. Particular attention is paid to the…

数值分析 · 数学 2023-04-25 Daniele Boffi , Andrea Cangiani , Marco Feder , Lucia Gastaldi , Luca Heltai

Consider the random subgraph process on a base graph $G$ with $n$ vertices: we generate a sequence $\{G_t\}_{t=0}^{|E(G)|}$ by taking a uniformly random ordering of the edges of $G$ and then adding these edges one by one to the empty graph…

组合数学 · 数学 2026-03-06 Yaobin Chen , Yu Chen , Seonghyuk Im , Yiting Wang

Real physical systems are only understood, experimentally or theoretically, to a finite resolution so in their analysis there is generally an ignorance of possible short-range phenomena. It is also well-known that the boundary conditions of…

高能物理 - 理论 · 物理学 2016-06-17 David M. Jacobs

Randomly breaking connections in a graph alters its transport properties, a model used to describe percolation. In the case of quantum walks, dynamic percolation graphs represent a special type of imperfections, where the connections appear…

量子物理 · 物理学 2014-06-03 Bálint Kollár , Jaroslav Novotný , Tamás Kiss , Igor Jex

We spot a hole in the area of succinct data structures for graph classes from a universe of size at most $n^n$. Very often, the input graph is labeled by the user in an arbitrary and easy-to-use way, and the data structure for the graph…

数据结构与算法 · 计算机科学 2023-11-07 Sankardeep Chakraborty , Christian Engels , Seungbum Jo , Mingmou Liu

This paper provides a construction method of the nearest graph Laplacian to a matrix identified from measurement data of graph Laplacian dynamics that include biochemical systems, synchronization systems, and multi-agent systems. We…

最优化与控制 · 数学 2018-06-20 Kazuhiro Sato

Brain simulation, as one of the latest advances in artificial intelligence, facilitates better understanding about how information is represented and processed in the brain. The extreme complexity of human brain makes brain simulations only…

分布式、并行与集群计算 · 计算机科学 2022-05-17 Xin Du

Quantum speed limit focuses on the minimum time scale for a fixed mission and hence is important in quantum information where fast dynamics is usually beneficial. Most existing tools for the depiction of quantum speed limit are the…

量子物理 · 物理学 2023-10-09 Mao Zhang , Huai-Ming Yu , Jing Liu

We present a new algorithm for exactly solving decision making problems represented as influence diagrams. We do not require the usual assumptions of no forgetting and regularity; this allows us to solve problems with simultaneous decisions…

人工智能 · 计算机科学 2015-03-19 Denis Deratani Mauá , Cassio Polpo de Campos , Marco Zaffalon

Recently, random walks on dynamic graphs have been studied because of their adaptivity to the time-varying structure of real-world networks. In general, there is a tremendous gap between static and dynamic graph settings for the lazy simple…

离散数学 · 计算机科学 2022-01-19 Nobutaka Shimizu , Takeharu Shiraga

We study Hamiltonicity in graphs obtained as the union of a deterministic $n$-vertex graph $H$ with linear degrees and a $d$-dimensional random geometric graph $G^d(n,r)$, for any $d\geq1$. We obtain an asymptotically optimal bound on the…

组合数学 · 数学 2022-09-29 Alberto Espuny Díaz

We calculate an analytical expression for the terrace-width distribution $P(s)$ for an interacting step system with nearest and next nearest neighbor interactions. Our model is derived by mapping the step system onto a statistically…

统计力学 · 物理学 2013-07-17 Diego Felipe Jaramillo , Gabriel Téllez , Diego Luis González , T. L. Einstein