Results 91 to 100 of about 10,868,924 (291)

Domain decomposition approaches for accelerating contour integration eigenvalue solvers for symmetric eigenvalue problems

open access: yesNumerical Linear Algebra with Applications, 2018
SummaryThis paper discusses techniques for computing a few selected eigenvalue–eigenvector pairs of large and sparse symmetric matrices. A recently developed class of techniques to solve this type of problems is based on integrating the matrix resolvent operator along a complex contour that encloses the interval containing the eigenvalues of interest ...
Vassilis Kalantzis   +3 more
openaire   +4 more sources

Surface‐Spin‐Induced Magnetic Loss Enhancement in Ultralight Electromagnetic Absorbers

open access: yesAdvanced Science, EarlyView.
Fe3O4 nanoparticles with different hollow rates were synthesized to demonstrate the key role of surface moment in magnetic loss process. Using the same volume filling ratio, the 54.1% hollow Fe3O4 absorber represents about 20% enhancement in the imaginary part (μ'') than solid particles due to the coexisting magnetic resonance of inside and outside ...
Ruimin Ren   +5 more
wiley   +1 more source

Bienenfeld’s approximation of production prices and eigenvalue distribution: some more evidence from five European economies [PDF]

open access: yes
This paper tests Bienenfeld’s polynomial approximation of production prices using data from ten symmetric input-output tables of five European economies.
Iliadi, Fotoula   +3 more
core  

Ultrafast Optoacoustics Reveals Intricate 3D Anisotropic Elasticity in Nanocrystalline Membranes

open access: yesAdvanced Science, EarlyView.
Ultrafast optoacoustic spectroscopy combined with a Sagnac interferometer enables non‐contact, simultaneous characterization of thickness and the full three‐dimensional anisotropic elastic constants in freestanding nanocrystalline copper membranes. By capturing gigahertz Lamb waves and zero‐group‐velocity resonances followed by SAFE‐GA inversion, the ...
Shuchang Zhang   +11 more
wiley   +1 more source

Eigenvalue multiplicity in quartic graphs [PDF]

open access: yes, 2017
Let G be a connected quartic graph of order n with μ as an eigenvalue of multiplicity k. We show that if μ ∉ {−1,0} then k ≤ (2n − 5)/3 when n ≤ 22, and k ≤ (3n − 1)/5 when n ≥ 23.
Capaverde, Juliane   +3 more
core   +1 more source

StackingNet: Collective Inference Across Independent AI Foundation Models

open access: yesAdvanced Science, EarlyView.
ABSTRACT Artificial intelligence (AI) built on large foundation models has transformed language understanding, computer vision, and reasoning, yet these systems remain isolated and cannot readily share their capabilities. Coordinating the complementary strengths of independently developed, black‐box foundation models is essential for trustworthy ...
Siyang Li   +4 more
wiley   +1 more source

Eigenvalue problem and its various generalizations

open access: yes, 2020
Cílem práce zpracovat základní poznatky týkající se úlohy vlastních čísel(čtvercových) matic, zejména věty o spektrálním, Schurově, resp. Jordanově rozkladu,a zavést základní pojmy jako je charakteristický polynom, průvodní maticepolynomu, algebraická a ...
Šikola, Jiří
core   +1 more source

Convergence rates of eigenvalue problems in perforated domains: the case of small volume

open access: yesAdvanced Nonlinear Studies
This paper is concerned with the Dirichlet eigenvalue problem for Laplace operator in a bounded domain with periodic perforation in the case of small volume.
Shen Zhongwei, Zhuge Jinping
doaj   +1 more source

Eigenvalue multiplicity in cubic graphs [PDF]

open access: yes, 2014
Let G be a connected cubic graph of order n with μ as an eigenvalue of multiplicity k. We show that (i) if μ∉{-1,0} then k≤12n, with equality if and only if μ=1 and G is the Petersen graph; (ii) if μ=-1 then k≤12n+1, with equality if and only if G=K4 ...
Rowlinson, Peter
core   +1 more source

DDSurfer: A Weakly‐Supervised Dual‐Stream Deep Learning Framework for Cortical Surface Reconstruction From Diffusion MRI

open access: yesAdvanced Science, EarlyView.
DDSurfer reconstructs cortical surfaces directly from diffusion MRI without requiring T1‐weighted scans. By fusing complementary microstructural features and learning diffeomorphic deformations, it efficiently generates accurate white matter and pial surfaces, improving geometric fidelity and morphometric reliability across datasets for robust surface ...
Chengjin Li   +10 more
wiley   +1 more source

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