Results 101 to 110 of about 246,310 (302)
Normalized Laplacian spectrum of some subdivision-joins and R-joins of two regular graphs
In this paper we determine the full normalized Laplacian spectrum of the subdivision-vertex join, subdivision-edge join, R-vertex join, and R-edge join of two regular graphs in terms of the normalized Laplacian eigenvalues of the graphs.
Arpita Das, Pratima Panigrahi
doaj +1 more source
Computing the First Eigenpair of the p-Laplacian via Inverse Iteration of Sublinear Supersolutions [PDF]
Rodney Josué Biezuner +3 more
openalex +1 more source
A hybrid RANS‐LES turbulence model adapted for the Moving Particle Semi‐implicit method is employed to investigate a turbulent free surface flow. A method based on the cell‐linked list is proposed to speed up the nearest wall search for the turbulence model.
Fabio Kenji Motezuki +3 more
wiley +1 more source
New constructions of nonregular cospectral graphs
We consider two types of joins of graphs G1{G}_{1} and G2{G}_{2}, G1⊻G2{G}_{1}\hspace{0.33em}⊻\hspace{0.33em}{G}_{2} – the neighbors splitting join and G1∨=G2{G}_{1}\mathop{\vee }\limits_{=}{G}_{2} – the nonneighbors splitting join, and compute ...
Hamud Suleiman, Berman Abraham
doaj +1 more source
An Adaptive Finite Element Method for the Infinity Laplacian [PDF]
Omar Lakkis, Tristan Pryer
openalex +1 more source
Forecasting With Machine Learning Shadow‐Rate VARs
ABSTRACT Interest rates are fundamental in macroeconomic modeling. Recent studies integrate the effective lower bound (ELB) into vector autoregressions (VARs). This paper studies shadow‐rate VARs by using interest rates as a latent variable near the ELB to estimate their shadow‐rate values.
Michael Grammatikopoulos
wiley +1 more source
Fractional discrete Laplacian versus discretized fractional Laplacian
25 pages, 13 ...
Ciaurri, Ó. +4 more
openaire +2 more sources
Virtual Magnetic Resonance Elastography Using a Deep Generative Model for Liver Fibrosis Staging
The proposed Registration‐based Generative Adversarial Network‐Convolutional Block Attention Module (RegGAN‐CBAM) model efficiently and reliably generates virtual MR elastography using diffusion weighted imaging. Strong correlation between virtual and native MR elastography for liver stiffness and viscosity are observed.
Longyu Sun +9 more
wiley +1 more source
The Laplacian spectrum of weighted composite networks and the applications
The topological properties of the networks can be described by the Laplacian spectra, but resolving the Laplacian spectra of networks poses difficulties. In this study, a novel approach for solving the Laplacian spectrum of weighted composite networks is
Jian Zhu +3 more
doaj +1 more source
ABSTRACT Background Pathophysiological changes affect tissue cell composition and density. For example, neurodegenerative disorders and brain tumors are associated with cell loss and abnormal accumulation, respectively. In these scenarios, if monitored and tracked, tissue cellularity might be used to inform clinical diagnosis and management. Purpose To
Giulia Debiasi +7 more
wiley +1 more source

