Results 101 to 110 of about 2,022 (201)

On Hamiltonian Decomposition Problem of 3-Arc Graphs. [PDF]

open access: yesComput Intell Neurosci, 2022
Xu G, Sun Q, Liang Z.
europepmc   +1 more source

Discrepancies of perfect matchings in hypergraphs

open access: yes
In this paper, we determine the minimum degree threshold of perfect matchings with high discrepancy in $r$-edge-colored $k$-uniform hypergraphs for all $k\geq 3$ and $r\geq 2$, thereby completing the investigation into discrepancies of perfect matchings ...
Xie, Shengjie, Lu, Hongliang, Ma, Jie
core  

Perfect matchings in random r-regular, s-uniform hypergraphs

open access: yes, 1996
original source http://www.cambridge.org/journals/journal_catalogue.asp?mnemonic=CPCWe show that r-regular, s-uniform hypergraphs contain a perfect matching with high probability (whp), provided s > 1 + log r / (r-1)log(r/(r-1)) .
Frieze, A.   +3 more
core   +1 more source

Approximately Counting Perfect and General Matchings in Bipartite and General Graphs

open access: yes, 2009
We develop algorithms to approximately count perfect matchings in bipartite graphs (or permanents of the corresponding adjacency matrices), perfect matchings in nonbipartite graphs (or hafnians), and general matchings in bipartite and nonbipartite graphs
Law, Wai Jing
core  

Efficient classical sampling from Gaussian boson sampling distributions on unweighted graphs. [PDF]

open access: yesNat Commun
Zhang Y   +7 more
europepmc   +1 more source

Reference-based cell type matching of in situ image-based spatial transcriptomics data on primary visual cortex of mouse brain. [PDF]

open access: yesSci Rep, 2023
Zhang Y   +17 more
europepmc   +1 more source

Finding All The Perfect Matchings in Bipartite Graphs

open access: yes, 1989
This paper describes an algorithm for finding all the perfect matchings in a bipartite graph. By using the binary partitioning method, our algorithm requires O(c(n +m)+ n 2:5 ) computational effort and O(nm) memory storage, (where n denotes the number ...
Komei Fukuda, Tomomi Matsui
core  

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