Faster Algorithms for Edge Connectivity via Random $2

Faster Algorithms for Edge Connectivity via Random $2 - arXiv

We provide a simple new randomized contraction approach to the global minimum cut problem for simple undirected graphs.

Faster Algorithms for Edge Connectivity via Random 2-Out ... - People

Faster Algorithms for Edge Connectivity via Random 2-Out Contractions. Mohsen Ghaffari∗. ETH Zurich [email protected]. Krzysztof Nowicki†. Univ. of Wroclaw.

Faster Algorithms for Edge Connectivity via Random 2-Out ...

Request PDF | On Dec 23, 2020, Mohsen Ghaffari and others published Faster Algorithms for Edge Connectivity via Random 2-Out Contractions | Find, ...

Faster Algorithms for Edge Connectivity via Random 2-Out ... - arXiv

Theorem 1.4. There exists a CREW PRAM algorithm that for a simple graph with n vertices and m edges computes its minimum cut using O(mlog n + ...

Faster Algorithms for Edge Connectivity via Random Out Contractions

A new variant of Karger's celebrated random contraction approach to the global minimum cut problem for simple undirected graphs is provided and its utility ...

Edge connectivity / Vertex connectivity - CP-Algorithms

Edge connectivity using maximum flow¶. This method is based on the Ford ... Especially the algorithm will run pretty fast for random graphs.

Faster Algorithms for Edge Connectivity via Random 2-Out ... - dblp

Bibliographic details on Faster Algorithms for Edge Connectivity via Random 2-Out Contractions.

Faster Algorithms for Computing Maximal 2-Connected Subgraphs ...

Additionally, it was shown very recently how to compute the 2-edge-and 2-vertex-connected components of digraphs in linear time [7,8], while the best current ...

[PDF] On the cut dimension of a graph | Semantic Scholar

The results show a lower bound of $2n-3$ on the number of linear queries ... Faster Algorithms for Edge Connectivity via Random 2-Out Contractions · M ...

Efficient Edge Splitting-Off Algorithms Maintaining All-Pairs Edge ...

We then prove a new structural property, and use it to further speed up the algorithm to obtain a randomized O ~ ( m + r max 3 ⋅ n ) -time algorithm. These edge ...

(PDF) Faster Algorithms for Edge Connectivity via Random

Faster Algorithms for Edge Connectivity via Random 2-Out Contractions by Mohsen Ghaffari, Krzysztof Nowicki, Mikkel Thorup.

Theoretically Efficient Parallel Graph Algorithms Can Be Fast and ...

Our implementation first computes connectivity labels using our connectivity algorithm ... An optimal randomized logarithmic time connectivity algorithm ...

Path Contraction Faster than $2^n$ | SIAM Journal on Discrete ...

We also define a problem called 3-Disjoint Connected Subgraphs and design an algorithm for it that runs in time 1.88 n ⋅ n O ( 1 ) . The above algorithm is used ...

Parallel Minimum Cuts in O ( m log 2 n ) Work and Low Depth | CoLab

... algorithm for solving the minimum $2$-respecting cut problem ... $2$-respecting ... Faster Algorithms for Edge Connectivity via Random 2-Out Contractions.

Incremental $2$-Edge-Connectivity in Directed Graphs - NASA/ADS

Abstract. In this paper, we initiate the study of the dynamic maintenance of $2$-edge-connectivity relationships in directed graphs. We present an algorithm ...

Combinatorica - Index of files in /

291--295 Guy Even and Guy Kortsarz and Zeev Nutov A $ 1.5$-approximation algorithm for augmenting edge-connectivity of a graph from $1$ to $2$ .

vertex connectivity and sparse certificates

edge. •1. A fast parallel version of the algorithm of the pre- vious theorem can be obtained using the. “parallel greedy” method as follows: Fix an arbitrary.

Search | arXiv e-print repository - CoNexa Pro

arXiv:1909.00844 [pdf, ps, other]. cs.DS cs.DC. Faster Algorithms for Edge Connectivity via Random $2$-Out Contractions. Authors: Mohsen Ghaffari, Krzysztof ...

SIAM Journal on Computing - Index of files in /

Volume 32, Number 4, August, 2003. Satoru Iwata A Faster Scaling Algorithm ... Connected Subgraphs via Critical Graphs . . . . . 247--257. SIAM Journal on ...

Stanford Algorithms Seminar: 2005-06 Calendar

The scheme is fast and efficient: it terminates in O(ln n) communication rounds and every node sends most of its messages to nearby nodes. Most useful functions ...