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相关论文: Calculating effective resistances on underlying ne…

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Recently in \cite{jss1}, the authors have given a method for calculation of the effective resistance (resistance distance) on distance-regular networks, where the calculation was based on stratification introduced in \cite{js} and Stieltjes…

组合数学 · 数学 2007-05-23 M. A. Jafarizadeh , R. Sufiani , S. Jafarizadeh

In Refs.[1] and [2], calculation of effective resistances on distance-regular networks was investigated, where in the first paper, the calculation was based on the stratification of the network and Stieltjes function associated with the…

统计力学 · 物理学 2009-11-13 M. A. Jafarizadeh , R. Sufiani , S. Jafarizadeh

An algorithm for the calculation of the resistance between two arbitrary nodes in an arbitrary distance-regular resistor network is provided, where the calculation is based on stratification introduced in \cite{js} and Stieltjes transform…

统计力学 · 物理学 2007-05-23 M. A. Jafarizadeh , R. Sufiani , S. Jafarizadeh

The effective resistance between a pair of nodes in a weighted undirected graph is defined as the potential difference induced between them when a unit current is injected at the first node and extracted at the second node, treating edge…

最优化与控制 · 数学 2017-08-25 Necdet Serhat Aybat , Mert Gurbuzbalaban

Effective resistance is an important metric that measures the similarity of two vertices in a graph. It has found applications in graph clustering, recommendation systems and network reliability, among others. In spite of the importance of…

数据结构与算法 · 计算机科学 2021-06-08 Pan Peng , Daniel Lopatta , Yuichi Yoshida , Gramoz Goranci

In this paper we give a survey of methods used to calculate values of resistance distance (also known as effective resistance) in graphs. Resistance distance has played a prominent role not only in circuit theory and chemistry, but also in…

组合数学 · 数学 2021-09-15 E. J. Evans , A. E. Francis

Effective resistance, which originates from the field of circuits analysis, is an important graph distance in spectral graph theory. It has found numerous applications in various areas, such as graph data mining, spectral graph…

数值分析 · 数学 2023-03-08 Zhiqiang Liu , Wenjian Yu

Effective resistances are ubiquitous in graph algorithms and network analysis. In this work, we study sublinear time algorithms to approximate the effective resistance of an adjacent pair $s$ and $t$. We consider the classical adjacency…

数据结构与算法 · 计算机科学 2023-07-06 Dongrun Cai , Xue Chen , Pan Peng

The graphical notion of effective resistance has found wide-ranging applications in many areas of pure mathematics, applied mathematics and control theory. By the nature of its construction, effective resistance can only be computed in…

最优化与控制 · 数学 2013-10-23 George Forrest Young , Luca Scardovi , Naomi Ehrich Leonard

Interest in studying the conductive properties of networks made from randomly distributed nanowires is due to their numerous technological applications. Although the sheet resistance of such networks can be calculated directly, the…

无序系统与神经网络 · 物理学 2026-02-03 Yuri Yu. Tarasevich , Irina V. Vodolazskaya , Andrei V. Eserkepov

We investigate the behavior of two dimensional resistor networks, with finite sizes and different kinds (rectangular, hexagonal, and triangular) of lattice geometry. We construct the network by having a network-element repeat itself $L_x$…

经典物理 · 物理学 2020-12-30 Rajat Chandra Mishra , Himadri Barman

We explicitly compute the effective resistances between any two vertices of a ladder graph by using circuit reductions. Using our findings, we obtain explicit formulas for Kirchhoff index and admissible invariants of a ladder graph…

组合数学 · 数学 2015-03-24 Zubeyir Cinkir

We study by means of Monte-Carlo numerical simulations the resistance of two-dimensional random percolating networks of stick, widthless nanowires. We use the multi-nodal representation (MNR) to model a nanowire network as a graph. We…

无序系统与神经网络 · 物理学 2019-09-04 Robert Benda , Bérengère Lebental , Eric Cancès

We provide new algorithms and conditional hardness for the problem of estimating effective resistances in $n$-node $m$-edge undirected, expander graphs. We provide an $\widetilde{O}(m\epsilon^{-1})$-time algorithm that produces with high…

数据结构与算法 · 计算机科学 2023-06-27 Rajat Vadiraj Dwaraknath , Ishani Karmarkar , Aaron Sidford

The concept of effective resistance, originally introduced in electrical circuit theory, has been extended to the setting of graphs by interpreting each edge as a resistor. In this context, the effective resistance between two vertices…

组合数学 · 数学 2025-11-17 Inés García-Redondo , Claudia Landi , Sarah Percival , Anda Skeja , Bei Wang , Ling Zhou

We define a subdivision network $\Gamma^S$ of a given network $\Gamma,$ by inserting a new vertex in every edge, so that each edge is replaced by two new edges with conductances that fulfill electrical conditions on the new network. In this…

组合数学 · 数学 2016-09-16 Ángeles Carmona , Margarida Mitjana , Enric Monsó

In this paper we deal with the notion of the effective impedance of AC networks consisting of resistances, coils and capacitors. Mathematically such a network is a locally finite graph whose edges are endowed with complex-valued weights…

组合数学 · 数学 2021-03-05 Anna Muranova

Given a resistive electrical network, we would like to determine whether all the resistances (edges) in the network are working, and if not, identify which edge (or edges) are faulty. To make this determination, we are allowed to measure…

最优化与控制 · 数学 2026-02-17 Barbara Fiedorowicz , Amitabh Basu

We give identities for the voltage and resistance functions on a metrized graph to show how these functions behave under any edge deletion/contraction and the identification of any two vertices. This leads to explicit versions of Rayleigh's…

组合数学 · 数学 2024-11-05 Zubeyir Cinkir

The effective conductivity ($T^{eff}$) of 2D and 3D Random Resistor Networks (RRNs) with random edge conductivity are studied. The combined influence of geometrical disorder, which controls the overall connectivity of the medium, and leads…

无序系统与神经网络 · 物理学 2025-06-25 I. Colecchio , E. Le Gall , B. Noetinger
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