Results 11 to 20 of about 1,624,240 (288)

Cospectral constructions for several graph matrices using cousin vertices

open access: yesSpecial Matrices, 2021
Graphs can be associated with a matrix according to some rule and we can find the spectrum of a graph with respect to that matrix. Two graphs are cospectral if they have the same spectrum.
Lorenzen Kate
doaj   +1 more source

On the Signless Laplacian Eigenvalues and Optimum SLE of Graph

open access: yesFuzzy Optimization and Modeling, 2022
Let G be a graph of order n and with the vertex set {v_1,v_2,…,v_n } and the edge set E(G). The adjancency matrix of G is an n×n matrix A(G) whose (i,j)-entry is 1 if v_i is adjacent to v_j and 0, otherwise.
Gholam Hossein Fath-Tabar
doaj   +1 more source

Spektrum Laplace pada graf kincir angin berarah (Q_k^3)

open access: yesMajalah Ilmiah Matematika dan Statistika, 2022
Suppose that 0 = µ0 ≤ µ1 ≤ ... ≤ µn-1 are eigen values of a Laplacian matrix graph with n vertices and m(µ0), m(µ1), …, m(µn-1) are the multiplicity of each µ, so the Laplacian spectrum of a graph can be expressed as a matrix 2 × n whose line elements ...
Melly Amaliyanah   +2 more
doaj   +1 more source

Preserving Motor Features by Alternative Re-Referencing to Remove Heart Artifact on the Stentrode. [PDF]

open access: yesAdv Sci (Weinh)
Endovascular brain‐computer interfaces record neural activity from within cerebrovasculature, at the expense of electrocardiogram contamination. Band‐limited independent component analysis separates this heart‐based artifact from task‐relevant neural activity in each frequency band, enabling the reconstruction of cleaner neural recordings without the ...
Feldman AK   +11 more
europepmc   +2 more sources

Principal eigenvector of the signless Laplacian matrix [PDF]

open access: yesComputational and Applied Mathematics, 2021
In this paper, we study the entries of the principal eigenvector of the signless Laplacian matrix of a hypergraph. More precisely, we obtain bounds for this entries. These bounds are computed trough other important parameters, such as spectral radius, maximum and minimum degree.
openaire   +2 more sources

NEW BOUNDS AND EXTREMAL GRAPHS FOR DISTANCE SIGNLESS LAPLACIAN SPECTRAL RADIUS [PDF]

open access: yesJournal of Algebraic Systems, 2021
The distance signless Laplacian spectral radius of a connected graph $G$ is the largest eigenvalue of the distance signless Laplacian matrix of $G$, defined as $D^{Q}(G)=Tr(G)+D(G)$, where $D(G)$ is the distance matrix of $G$ and $Tr(G)$ is the diagonal ...
A. Alhevaz, M. Baghipur, S. Paul
doaj   +1 more source

The Characterizing Properties of (Signless) Laplacian Permanental Polynomials of Almost Complete Graphs

open access: yesJournal of Mathematics, 2021
Let G be a graph with n vertices, and let LG and QG denote the Laplacian matrix and signless Laplacian matrix, respectively. The Laplacian (respectively, signless Laplacian) permanental polynomial of G is defined as the permanent of the characteristic ...
Tingzeng Wu, Tian Zhou
doaj   +1 more source

An integrated exploration of heat kernel invariant feature and manifolding technique for 3D object recognition system

open access: yesActa Scientiarum: Technology, 2023
Spectral Graph theory has been utilized frequently in the field of Computer Vision and Pattern Recognition to address challenges in the field of Image Segmentation and Image Classification.
Subramaniam Usha   +3 more
doaj   +1 more source

Laplacian Matrix for Dimensionality Reduction and Clustering [PDF]

open access: yes, 2020
Many problems in machine learning can be expressed by means of a graph with nodes representing training samples and edges representing the relationship between samples in terms of similarity, temporal proximity, or label information. Graphs can in turn be represented by matrices. A special example is the Laplacian matrix, which allows us to assign each
Laurenz Wiskott, Fabian Schönfeld
openaire   +3 more sources

Computing the Permanent of the Laplacian Matrices of Nonbipartite Graphs

open access: yesJournal of Mathematics, 2021
Let G be a graph with Laplacian matrix LG. Denote by per LG the permanent of LG. In this study, we investigate the problem of computing the permanent of the Laplacian matrix of nonbipartite graphs.
Xiaoxue Hu, Grace Kalaso
doaj   +1 more source

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