Results 81 to 90 of about 140 (117)

Persistent Mayer Dirac. [PDF]

open access: yesJ Phys Complex
Suwayyid F, Wei GW.
europepmc   +1 more source

The Signless Laplacian Spectral Radius of $tK_3$-Free Graphs

open access: yes
The signless Laplacian matrix of a graph $G$ is $Q(G)=D(G)+A(G)$, where $D(G)$ and $A(G)$ are the diagonal degree matrix and the adjacency matrix of $G$, respectively. The signless Laplacian spectral radius of $G$ is the largest eigenvalue of $Q(G)$.
openaire   +2 more sources

The Signless Laplacian and Distance Signless Laplacian Spectral Radius of Digraphs With Some Given Parameters

open access: yesDiscrete Applied Mathematics, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ligong Wang, Weige Xi
exaly   +2 more sources

Signless Laplacian Spectral Radius and Fractional Matchings in Graphs [PDF]

open access: yesDiscrete Mathematics, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yingui Pan
exaly   +3 more sources

The Signless Laplacian Spectral Radius of Graphs With Given Degree Sequences

open access: yesDiscrete Applied Mathematics, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.

exaly   +4 more sources

Sharp Bounds for the Signless Laplacian Spectral Radius of Digraphs

Applied Mathematics and Computation, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ligong Wang
exaly   +4 more sources

On the signless Laplacian spectral radius of weighted digraphs

Discrete Optimization, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Weige Xi, Ligong Wang 0001
openaire   +1 more source

On the distance signless Laplacian spectral radius and the distance signless Laplacian energy of graphs

Discrete Mathematics, Algorithms and Applications, 2018
The distance signless Laplacian spectral radius of a connected graph [Formula: see text] is the largest eigenvalue of the distance signless Laplacian matrix of [Formula: see text], defined as [Formula: see text], where [Formula: see text] is the distance matrix of [Formula: see text] and [Formula: see text] is the diagonal matrix of vertex ...
Abdollah Alhevaz   +2 more
openaire   +2 more sources

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