Zobrazeno 1 - 10
of 259
pro vyhledávání: '"Eric Darve"'
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 3, p 035036 (2024)
Anomaly detection is an important task for complex scientific experiments and other complex systems (e.g. industrial facilities, manufacturing), where failures in a sub-system can lead to lost data, poor performance, or even damage to components. Whi
Externí odkaz:
https://doaj.org/article/4c063926275c4193bd69a730edc8662c
Autor:
Ryan Humble, Finn H. O’Shea, William Colocho, Matt Gibbs, Helen Chaffee, Eric Darve, Daniel Ratner
Publikováno v:
Physical Review Accelerators and Beams, Vol 25, Iss 12, p 122804 (2022)
Accelerators produce too many signals for a small operations team to monitor in real time. In addition, many of these signals are only interpretable by subject matter experts with years of experience. As a result, changes in accelerator performance c
Externí odkaz:
https://doaj.org/article/c44598e5a5ad480899d82981fd676830
Publikováno v:
International Journal for Numerical Methods in Engineering. 124:2215-2236
We explore the probabilistic partition of unity network (PPOU-Net) model in the context of high-dimensional regression problems and propose a general framework focusing on adaptive dimensionality reduction. With the proposed framework, the target fun
Autor:
Shaked Regev, Nai-Yuan Chiang, Eric Darve, Cosmin G. Petra, Michael A. Saunders, Kasia Świrydowicz, Slaven Peleš
Publikováno v:
Optimization Methods and Software. 38:332-355
Publikováno v:
International Journal for Numerical Methods in Engineering. 123:5473-5499
Publikováno v:
Journal of Parallel and Distributed Computing. 154:64-73
Kernel matrix-vector product is ubiquitous in many science and engineering applications. However, a naive method requires O ( N 2 ) operations, which becomes prohibitive for large-scale problems. To reduce the computation cost, we introduce a paralle
Autor:
Abeynaya Gnanasekaran, Eric Darve
Publikováno v:
Proceedings of the Platform for Advanced Scientific Computing Conference.
Publikováno v:
Research in the Mathematical Sciences. 9
Autor:
Eric Darve, Bazyli Klockiewicz
Publikováno v:
SIAM Journal on Scientific Computing. 42:A3907-A3931
When solving linear systems arising from PDE discretizations, iterative methods (such as Conjugate Gradient, GMRES, or MINRES) are often the only practical choice. To converge in a small number of iterations, however, they have to be coupled with an
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031200823
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ef0c55332121b79056fd5734574f49d
https://doi.org/10.1007/978-3-031-20083-0_38
https://doi.org/10.1007/978-3-031-20083-0_38