Results 11 to 20 of about 910,618 (173)

Matching preclusion and conditional matching preclusion for bipartite interconnection networks I: Sufficient conditions [PDF]

open access: yesNetworks, 2011
AbstractThe matching preclusion number of a graph is the minimum number of edges whose deletion results in a graph that has neither perfect matchings nor almost‐perfect matchings. For many interconnection networks, the optimal sets are precisely those induced by a single vertex.
Eddie Cheng 0001   +3 more
openaire   +5 more sources

Matching preclusion and conditional matching preclusion for hierarchical cubic networks

open access: yesAIMS Mathematics, 2022
<abstract><p>Matching preclusion originates from the measurement of interconnection network robustness in the event of edge failure. Conditional matching preclusion belongs to generalized matching preclusion. We obtain the matching preclusion number and conditional matching preclusion number for hierarchical cubic network($ HCN_n ...
Jinyu Zou, Haizhen Ren
openaire   +3 more sources

Conditional matching preclusion for the arrangement graphs

open access: yesTheoretical Computer Science, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Eddie Cheng 0001   +3 more
core   +3 more sources

MATCHING PRECLUSION AND CONDITIONAL MATCHING PRECLUSION FOR AUGMENTED CUBES

open access: yesJournal of Interconnection Networks, 2010
The matching preclusion number of a graph is the minimum number of edges whose deletion results in a graph that has neither perfect matchings nor almost-perfect matchings. For many interconnection networks, the optimal sets are precisely those incident to a single vertex.
Eddie Cheng 0001, Randy Jia, David Lu
openaire   +2 more sources

Matching preclusion and conditional matching preclusion for bipartite interconnection networks II: Cayley graphs generated by transposition trees and hyper‐stars [PDF]

open access: yesNetworks, 2011
AbstractThe matching preclusion number of a graph with an even number of vertices is the minimum number of edges whose deletion results in a graph that has no perfect matchings. For many interconnection networks, the optimal sets are precisely those induced by a single vertex.
Eddie Cheng 0001   +3 more
openaire   +6 more sources

Conditional matching preclusion for the alternating group graphs and split-stars

open access: yesInternational Journal of Computer Mathematics, 2011
The matching preclusion number of a graph is the minimum number of edges the deletion of which results in a graph that has neither perfect matchings nor almost-perfect matchings. For many interconnection networks, the optimal sets are precisely those induced by a single vertex.
Eddie Cheng 0001   +3 more
openaire   +2 more sources

A Visual Dive into Conditional Flow Matching

open access: yes
https://iclr-blogposts.github.io/2025/blog/conditional-flow-matching/Conditional flow matching (CFM) was introduced by three simultaneous papers at ICLR 2023, through different approaches (conditional matching, rectifying flows and stochastic ...
Martin, Ségolène   +4 more
core   +16 more sources

Integer k-matching preclusion of graphs [PDF]

open access: yes, 2023
As a generalization of matching preclusion number of a graph, we provide the (strong) integer $k$-matching preclusion number, abbreviated as $MP^{k}$ number ($SMP^{k}$ number), which is the minimum number of edges (vertices and edges) whose deletion ...
Liu, Yan, Chang, Caibing
core   +1 more source

Fractional matching preclusion for butterfly derived networks [PDF]

open access: yes, 2019
The matching preclusion number of a graph is the minimum number of edges whose deletion results in a graph that has neither perfect matchings nor almost perfect matchings.
Ye, Chengfu   +4 more
core   +1 more source

Matching Preclusion of the Generalized Petersen Graph [PDF]

open access: yes, 2019
The matching preclusion number of a graph with an even number of vertices is the minimum number of edges whose deletion results in a graph with no perfect matchings.
Arora, Ajay   +2 more
core   +1 more source

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