Zobrazeno 1 - 10
of 659
pro vyhledávání: '"A. Ovtchinnikov"'
Autor:
Papoutsellis, Evangelos, da Costa-Luis, Casper, Deidda, Daniel, Delplancke, Claire, Duff, Margaret, Fardell, Gemma, Gillman, Ashley, Jørgensen, Jakob S., Kereta, Zeljko, Ovtchinnikov, Evgueni, Pasca, Edoardo, Schramm, Georg, Thielemans, Kris
We introduce a stochastic framework into the open--source Core Imaging Library (CIL) which enables easy development of stochastic algorithms. Five such algorithms from the literature are developed, Stochastic Gradient Descent, Stochastic Average Grad
Externí odkaz:
http://arxiv.org/abs/2406.15159
Autor:
Ovtchinnikov, V. M.1 (AUTHOR) ovtch@idg.ras.ru, Usoltseva, O. A.1 (AUTHOR) kriukova@mail.ru
Publikováno v:
Doklady Earth Sciences. Aug2024, Vol. 517 Issue 2, p1361-1365. 5p.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Ovtchinnikov, Alexei V.1 (AUTHOR) ovtchinnikov@hec.fr, Reza, Syed Walid2 (AUTHOR) sreza@binghamton.edu, Wu, Yanhui3 (AUTHOR) sean.wu@qut.edu.au
Publikováno v:
Journal of Financial & Quantitative Analysis. May2020, Vol. 55 Issue 3, p989-1024. 36p.
Autor:
Kazantsev, Daniil, Ovtchinnikov, Evgueni, Lionheart, William R. B., Withers, Philip J., Lee, Peter D.
In this paper we present a new two-level iterative algorithm for tomographic image reconstruction. The algorithm uses a regularization technique, which we call edge-preserving Laplacian, that preserves sharp edges between objects while damping spurio
Externí odkaz:
http://arxiv.org/abs/1509.04706
Autor:
Argentati, Merico E., Knyazev, Andrew V., Neymeyr, Klaus, Ovtchinnikov, Evgueni E., Zhou, Ming
Publikováno v:
Foundations of Computational Mathematics, 17(3), pp. 1-15, 2017. Online: 23 November 2015
Preconditioned iterative methods for numerical solution of large matrix eigenvalue problems are increasingly gaining importance in various application areas, ranging from material sciences to data mining. Some of them, e.g., those using multilevel pr
Externí odkaz:
http://arxiv.org/abs/1412.5005
Autor:
Ovtchinnikov, Evgueni, Brown, Richard, Kolbitsch, Christoph, Pasca, Edoardo, da Costa-Luis, Casper, Gillman, Ashley G., Thomas, Benjamin A., Efthimiou, Nikos, Mayer, Johannes, Wadhwa, Palak, Ehrhardt, Matthias J., Ellis, Sam, Jørgensen, Jakob S., Matthews, Julian, Prieto, Claudia, Reader, Andrew J., Tsoumpas, Charalampos, Turner, Martin, Atkinson, David, Thielemans, Kris
Publikováno v:
In Computer Physics Communications April 2020 249
The recently developed frequency extraction algorithm [G.R. Werner and J.R. Cary, J. Comp. Phys. 227, 5200 (2008)] that enables a simple FDTD algorithm to be transformed into an efficient eigenmode solver is applied to a realistic accelerator cavity
Externí odkaz:
http://arxiv.org/abs/1005.2531
Publikováno v:
SIAM Journal on Scientific Computing (SISC). 25(5): 2224-2239, 2007
We describe our software package Block Locally Optimal Preconditioned Eigenvalue Xolvers (BLOPEX) publicly released recently. BLOPEX is available as a stand-alone serial library, as an external package to PETSc (``Portable, Extensible Toolkit for Sci
Externí odkaz:
http://arxiv.org/abs/0705.2626
Autor:
Alexei Ovtchinnikov, Philip Valta
Publikováno v:
Management Science. 69:2425-2448
Candidate self-funding, in particular self-loans, is a significant source of funding of political campaigns. Self-funding clusters among nonincumbent campaigns, republican campaigns, and more expensive campaigns. Self-funded campaigns raise less mone
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::333993357a1ec7d7fe062f71f6559c46
https://doi.org/10.1287/mnsc.2022.4404
https://doi.org/10.1287/mnsc.2022.4404