Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Adrian Maldonado"'
Despite a growing literature on identity theory in the last two decades, much of its current use in archaeology is still driven toward locating and dating static categories such as ‘Phoenician', ‘Christian'or ‘native'. Previous studies have hig
Publikováno v:
IEEE Transactions on Industry Applications. 58:7764-7775
Autor:
Bendong Tan, Junbo Zhao, Nan Duan, Daniel Adrian Maldonado, Yingchen Zhang, Hongming Zhang, Mihai Anitescu
Publikováno v:
IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 12:161-171
Publikováno v:
Journal of Optimization Theory and Applications.
Publikováno v:
In Investigación en educación médica July-September 2013 2(7):148-153
Publikováno v:
SIAM Journal on Matrix Analysis and Applications. 42:800-831
Randomized linear system solvers have become popular as they have the potential to reduce floating point complexity while still achieving desirable convergence rates. One particularly promising class of methods, random sketching solvers, has achieved
Publikováno v:
2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS).
Publikováno v:
Proceedings of the Society of Antiquaries of Scotland. 149:115-129
The rediscovery of human remains, correspondence and other unpublished excavation archival material in the Glasgow Museums collection of Ludovic McLellan Mann prompted the reappraisal of a short archaeological investigation undertaken in April 1931 a
Autor:
Hong Zhang, Shrirang Abhyankar, Lois Curfman McInnes, Daniel Adrian Maldonado, Getnet D. Betrie, Barry Smith
Publikováno v:
ACM Transactions on Mathematical Software. 46:1-24
We present DMNetwork, a high-level package included in the PETSc library for the simulation of multiphysics phenomena over large-scale networked systems. The library aims at applications that have networked structures such as those in electrical, gas
A machine learning technique is proposed for quantifying uncertainty in power system dynamics with spatiotemporally correlated stochastic forcing. We learn one-dimensional linear partial differential equations for the probability density functions of
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https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8df41a8cfb409c9f8a3f6e678311850