Výsledky vyhľadávania - "Nystrom-type algorithm"

Essentials of the Median-Line Integral Equation Technique for the Simulation of Scattering by Flat Metal Nano-Strips

Autori: Olga V. Shapoval Ronan Sauleau Alexander I. Nosich a ďalší

Prispievatelia: Olga V. Shapoval Ronan Sauleau Alexander I. Nosich a ďalší

Zdroj: AIP Conference Proceedings. :174-176

Predmety: generalized boundary conditions, singular/hyper singular integral equations, Nystrom-type algorithm, noble-metal nano-strips

Prístupová URL adresa: https://hal.science/hal-00958570v1
https://doi.org/10.1063/1.3644249
https://hal-univ-rennes1.archives-ouvertes.fr/hal-00958570
https://aip.scitation.org/doi/10.1063/1.3644249
https://hal.archives-ouvertes.fr/hal-00958570

Simulation of infinite periodic graphene planar grating in the THz range by the method of singular integral equations

Autori: KALIBERDA, MSTISLAV LYTVYNENKO, LEONID POGARSKY, SERGEY

Zdroj: Turkish Journal of Electrical Engineering and Computer Sciences

Predmety: Graphene strip, Kubo formalism, infinite periodic grating, singular integral equation, Nystrom-type algorithm, Computer Engineering, Computer Sciences, Electrical and Computer Engineering

Popis súboru: application/pdf

Relation: https://journals.tubitak.gov.tr/elektrik/vol26/iss4/4; https://journals.tubitak.gov.tr/context/elektrik/article/1885/viewcontent/elk_26_4_4_1712_92.pdf

Dostupnosť: https://journals.tubitak.gov.tr/elektrik/vol26/iss4/4
https://doi.org/10.3906/elk-1712-92
https://journals.tubitak.gov.tr/context/elektrik/article/1885/viewcontent/elk_26_4_4_1712_92.pdf

Efficient Sequential Learning in Structured and Constrained Environments ; Apprentissage séquentiel efficace dans des environnements structurés avec contraintes

Autori: Calandriello, Daniele Sequential Learning (SEQUEL) Centre Inria de l'Université de Lille a ďalší

Prispievatelia: Calandriello, Daniele Sequential Learning (SEQUEL) Centre Inria de l'Université de Lille a ďalší

Zdroj: https://theses.hal.science/tel-01816904 ; Machine Learning [cs.LG]. Inria Lille Nord Europe - Laboratoire CRIStAL - Université de Lille, 2017. English. ⟨NNT : ⟩.

Predmety: Principal component analysis method, Online learning, Dictionary learning, Distributed learning, Low-rank Matrix Approximation, Gaussian process, Kernel learning, Semi-supervised learning, Graph Laplacian spectrum, Newton and quasi-Newton methods, Stochastic gradient method, Sequential learning, Nystrom-type algorithm, Nystrom approximation, Apprentissage, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.6: Learning, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.11: Distributed Artificial Intelligence, ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS/G.1.3: Numerical Linear Algebra, ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS/G.1.6: Optimization/G.1.6.3: Gradient methods, ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS/G.1.6: Optimization/G.1.6.1: Convex programming, ACM: G.: Mathematics of Computing/G.2: DISCRETE MATHEMATICS/G.2.2: Graph Theory/G.2.2.1: Graph labeling, ACM: G.: Mathematics of Computing/G.2: DISCRETE MATHEMATICS/G.2.2: Graph Theory, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], [INFO.INFO-NA]Computer Science [cs]/Numerical Analysis [cs.NA]

Dostupnosť: https://theses.hal.science/tel-01816904
https://theses.hal.science/tel-01816904v1/document
https://theses.hal.science/tel-01816904v1/file/main.pdf

Efficient Sequential Learning in Structured and Constrained Environments

Autori: Calandriello, Daniele

Prispievatelia: Calandriello, Daniele

Predmety: Distributed learning, Stochastic gradient method, Principal component analysis method, Newton and quasi-Newton methods, Sequential learning, Kernel learning, Dictionary learning, Nystrom-type algorithm, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], Low-rank Matrix Approximation, Apprentissage, [STAT.ML] Statistics [stat]/Machine Learning [stat.ML], Nystrom approximation, Online learning, [INFO.INFO-NA] Computer Science [cs]/Numerical Analysis [cs.NA], Semi-supervised learning, Graph Laplacian spectrum, Gaussian process

Popis súboru: application/pdf

Prístupová URL adresa: https://theses.hal.science/tel-01816904v1

Integral Equation Analysis of Plane Wave Scattering by Coplanar Graphene-Strip Gratings in the THz Range

Autori: Shapoval, Olga V. Gomez-Diaz, Juan Sebastian Perruisseau-Carrier, Julien a ďalší

Predmety: Graphene strips, Nystrom-type algorithm, singular and hyper-singular integral equations, surface plasmon resonances

Relation: IEEE Transactions on Terahertz Science and Technology; https://infoscience.epfl.ch/handle/20.500.14299/92218; WOS:000324954300021

Dostupnosť: https://doi.org/10.1109/TTHZ.2013.2263805
https://infoscience.epfl.ch/handle/20.500.14299/92218
https://hdl.handle.net/20.500.14299/92218

Nystrom technique analysis of the terahertz and infrared range radar cross section of a circular dielectric cylinder with graphene strips inside.

Autori: Kaliberda ME Pogarsky S

Zdroj: Philosophical transactions. Series A, Mathematical, physical, and engineering sciences [Philos Trans A Math Phys Eng Sci] 2025 Aug 14; Vol. 383 (2303), pp. 20240337. Date of Electronic Publication: 2025 Aug 14.

Spôsob vydávania: Journal Article

Informácie o časopise: Publisher: The Royal Society Country of Publication: England NLM ID: 101133385 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1471-2962 (Electronic) Linking ISSN: 1364503X NLM ISO Abbreviation: Philos Trans A Math Phys Eng Sci Subsets: PubMed not MEDLINE; MEDLINE