Results 41 to 50 of about 121,348 (314)

Generalized Fuzzy Torus and its Modular Properties [PDF]

open access: yes, 2013
We consider a generalization of the basic fuzzy torus to a fuzzy torus with non-trivial modular parameter, based on a finite matrix algebra. We discuss the modular properties of this fuzzy torus, and compute the matrix Laplacian for a scalar field.
Schreivogl, Paul, Steinacker, Harold
core   +3 more sources

A special class of triple starlike trees characterized by Laplacian spectrum

open access: yesAIMS Mathematics, 2021
Two graphs are said to be cospectral with respect to the Laplacian matrix if they have the same Laplacian spectrum. A graph is said to be determined by the Laplacian spectrum if there is no other non-isomorphic graph with the same Laplacian spectrum.
10.3934/math.2021260   +4 more
doaj   +1 more source

RECOGNITION OF HUMAN POSE FROM IMAGES BASED ON GRAPH SPECTRA [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
Recognition of human pose is an actual problem in computer vision. To increase the reliability of the recognition it is proposed to use structured information in the form of graphs.
A. A. Zakharov   +2 more
doaj   +1 more source

Locating Eigenvalues of a Symmetric Matrix whose Graph is Unicyclic

open access: yesTrends in Computational and Applied Mathematics, 2021
We present a linear-time algorithm that computes in a given real interval the number of eigenvalues of any symmetric matrix whose underlying graph is unicyclic.
R. O. Braga   +2 more
doaj   +1 more source

Learning Laplacian Matrix in Smooth Graph Signal Representations [PDF]

open access: yesIEEE Transactions on Signal Processing, 2016
The construction of a meaningful graph plays a crucial role in the success of many graph-based representations and algorithms for handling structured data, especially in the emerging field of graph signal processing. However, a meaningful graph is not always readily available from the data, nor easy to define depending on the application domain.
Dong, X   +3 more
openaire   +2 more sources

Considering spatiotemporal evolutionary information in dynamic multi‐objective optimisation

open access: yesCAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract Preserving population diversity and providing knowledge, which are two core tasks in the dynamic multi‐objective optimisation (DMO), are challenging since the sampling space is time‐ and space‐varying. Therefore, the spatiotemporal property of evolutionary information needs to be considered in the DMO.
Qinqin Fan   +3 more
wiley   +1 more source

Spectra of Graphs Resulting from Various Graph Operations and Products: a Survey

open access: yesSpecial Matrices, 2018
Let G be a graph on n vertices and A(G), L(G), and |L|(G) be the adjacency matrix, Laplacian matrix and signless Laplacian matrix of G, respectively. The paper is essentially a survey of known results about the spectra of the adjacency, Laplacian and ...
Barik S., Kalita D., Pati S., Sahoo G.
doaj   +1 more source

An analog of Matrix Tree Theorem for signless Laplacians [PDF]

open access: yesLinear Algebra and its Applications, 2019
A spanning tree of a graph is a connected subgraph on all vertices with the minimum number of edges. The number of spanning trees in a graph $G$ is given by Matrix Tree Theorem in terms of principal minors of Laplacian matrix of $G$. We show a similar combinatorial interpretation for principal minors of signless Laplacian $Q$.
Keivan Hassani Monfared, Sudipta Mallik
openaire   +3 more sources

Forest matrices around the Laplacian matrix

open access: yesLinear Algebra and its Applications, 2002
19 pages, presented at the Edinburgh (2001) Conference on Algebraic Graph ...
Chebotarev, Pavel, Agaev, Rafig
openaire   +3 more sources

Seidel Signless Laplacian Energy of Graphs [PDF]

open access: yesMathematics Interdisciplinary Research, 2017
Let S(G) be the Seidel matrix of a graph G of order n and let DS(G)=diag(n-1-2d1, n-1-2d2,..., n-1-2dn) be the diagonal matrix with d_i denoting the degree of a vertex v_i in G.
Harishchandra Ramane   +3 more
doaj   +1 more source

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