Results 51 to 60 of about 10,868,924 (291)

An orthogonality-preserving approach for eigenvalue problems

CoRR
Solving large-scale eigenvalue problems poses a significant challenge due to the computational complexity and limitations on the parallel scalability of the orthogonalization operation, when many eigenpairs are required. In this paper, we propose an intrinsic orthogonality-preserving model, formulated as an evolution equation, and a corresponding ...
Tianyang Chu, Xiaoying Dai, Shengyue Wang, Aihui Zhou   +3 more
openaire   +2 more sources

How to derive priorities in AHP: a comparative study [PDF]

, 2006
Multi-criteria decision making, Simulation, AHP, Eigenvalue, Geometric mean,
Markus Lusti, Lusti, Markus, Alessio Ishizaka, Ishizaka, Alessio   +3 more
core   +1 more source

Boundary‐Dependent Sleep–Wake Dysregulation in Idiopathic Hypersomnia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Idiopathic hypersomnia (IH) presents with excessive daytime sleepiness (EDS) despite apparently preserved nocturnal sleep, challenging traditional models of hypersomnolence based on sleep loss or fragmentation. We aimed to test the hypothesis that EDS in IH reflects excessive stabilization of the sleep state, consistent with ...
Samantha Mombelli, Karine Lacourse, Hélène Blais, Anne‐Sophie Deshaies‐Rugama, Cynthia Thompson, Alex Desautels, Jacques Montplaisir, Milan Nigam, Christophe Moderie, Boshra Khajehpiri, Catherine Duclos, Jean Marc Lina, Julie Carrier, Nadia Gosselin   +13 more
wiley   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

Simulation‐Based Analysis of Insert Pull‐Out in Nickel‐Polyurethane Hybrid Foams Using CT‐Derived Geometries

Advanced Engineering Materials, EarlyView.
CT‐based finite element simulations combined with in situ X‐ray computed tomography are used to analyze insert pull‐out in nickel‐coated polymer foams. Despite variations in material parameters, deformation consistently concentrates within a narrow annular region around the insert.
Yannik Bautz, Jonas Fell, Hendrik Jost, Stefan Diebels, Hans‐Georg Herrmann   +4 more
wiley   +1 more source

Tetracyclic π‐Extended Multi‐Resonant TADF Emitters for Green PSF‐OLEDs With 37.7% EQE and BT.2020‐Compatible Top‐Emitting Devices

Advanced Functional Materials, EarlyView.
Ultra‐narrow green multi‐resonance thermally activated delayed fluorescence emitters have been developed by linear π‐extension strategy using tetracyclic naphtho[2,3‐b]benzofuran unit. The resulting phosphorescence‐sensitized OLEDs achieve a maximum external quantum efficiency of 37.7% in the bottom‐emitting architecture, while the complementary top ...
Eo Jin Jeon, Truong Thi Thuy, Nikita Abitkar, Paramasivam Palanisamy, Jiheon Kim, Myungsun Sim, Athithan Maheshwaran, Jang Hyuk Kwon   +7 more
wiley   +1 more source

Fractional eigenvalue problems that approximate Steklov eigenvalue problems [PDF]

, 2017
In this paper we analyse possible extensions of the classical Steklov eigenvalue problem to the fractional setting. In particular, we find a non-local eigenvalue problem of fractional type that approximates, when taking a suitable limit, the classical ...
Leandro M. Del Pezzo, Ariel M. Salort, Salort, Ariel Martin, Rossi, Julio Daniel, Julio D. Rossi, del Pezzo, Leandro Martin   +5 more
core   +1 more source

Modal Analysis of Light Propagation, Polarization and Diffraction by Cholesteric Liquid Crystal Layers

Advanced Functional Materials, EarlyView.
The analysis of optical eigenmodes in chiral liquid crystal with perpendicular or tilted helical axis, and their correspondence with the external medium, leads to an intuitive understanding of the angle and wavelength dependency of transmissive and reflective diffraction.
Ke Xu, Pouya Nosratkhah, Le Zhou, Shengzhu Yi, Giorgio Manzoni, Kristiaan Neyts   +5 more
wiley   +1 more source

Improved complete neighbourhood preserving embedding for face recognition

IET Computer Vision, 2013
Complete neighbourhood preserving embedding (CNPE) is a recently proposed approach to overcome the drawbacks of neighbourhood preserving embedding (NPE) which is difficult to directly apply to face recognition because of computational complexity. However,
Gui‐Fu Lu, Yong Wang, Jian Zou
doaj   +1 more source

Hessian eigenvalue distribution in a random Gaussian landscape

Journal of High Energy Physics, 2018
The energy landscape of multiverse cosmology is often modeled by a multi-dimensional random Gaussian potential. The physical predictions of such models crucially depend on the eigenvalue distribution of the Hessian matrix at potential minima.
Masaki Yamada, Alexander Vilenkin
doaj   +1 more source