Zobrazeno 1 - 10
of 2 710
pro vyhledávání: '"L'Ecuyer A"'
Reinforcement learning constantly deals with hard integrals, for example when computing expectations in policy evaluation and policy iteration. These integrals are rarely analytically solvable and typically estimated with the Monte Carlo method, whic
Externí odkaz:
http://arxiv.org/abs/2202.07808
Autor:
L’ECUYER, Catherine
Publikováno v:
Revista Española de Pedagogía, 2023 May 01. 81(285), 251-270.
Externí odkaz:
https://www.jstor.org/stable/48729276
Autor:
Goda, Takashi, L'Ecuyer, Pierre
Publikováno v:
SIAM Journal on Scientific Computing, Volume 44, Issue 4, A2765-A2788, 2022
We study quasi-Monte Carlo (QMC) integration of smooth functions defined over the multi-dimensional unit cube. Inspired by a recent work of Pan and Owen, we study a new construction-free median QMC rule which can exploit the smoothness and the weight
Externí odkaz:
http://arxiv.org/abs/2201.09413
We introduce the R package clrng which leverages the gpuR package and is able to generate random numbers in parallel on a Graphics Processing Unit (GPU) with the clRNG (OpenCL) library. Parallel processing with GPU's can speed up computationally inte
Externí odkaz:
http://arxiv.org/abs/2201.06604
Publikováno v:
Anales de Pediatría (English Edition), Vol 101, Iss 2, Pp 73-74 (2024)
Externí odkaz:
https://doaj.org/article/dcfac6633c694be78a998709148a9814
Autor:
Duxson, Sophie, L’Ecuyer, Jason
Publikováno v:
ReNew: Technology for a Sustainable Future, 2023 Apr 01(163), 66-69.
Externí odkaz:
https://www.jstor.org/stable/48747070
Autor:
M. Loveless, D. Adler, F. Best, E. Borbas, X. Huang, R. Knuteson, T. L'Ecuyer, N. R. Nalli, E. Olsen, H. Revercomb, J. K. Taylor
Publikováno v:
Earth and Space Science, Vol 11, Iss 7, Pp n/a-n/a (2024)
Abstract Far infrared (FIR) emission from the Earth's polar regions has become an area of increasing scientific interest and value. FIR emission is important for understanding Earth's radiative balance and improving global climate models, especially
Externí odkaz:
https://doaj.org/article/a8bcaa0850f64a07b91da99eb2acc4a9
Autor:
Fraser King, Claire Pettersen, Larry F. Bliven, Diego Cerrai, Alexey Chibisov, Steven J. Cooper, Tristan L’Ecuyer, Mark S. Kulie, Matti Leskinen, Marian Mateling, Lynn McMurdie, Dimitri Moisseev, Stephen W. Nesbitt, Walter A. Petersen, Peter Rodriguez, Carl Schirtzinger, Martin Stuefer, Annakaisa vonLerber, Matthew T. Wingo, David B. Wolff, Telyana Wong, Norman Wood
Publikováno v:
Earth and Space Science, Vol 11, Iss 5, Pp n/a-n/a (2024)
Abstract Microphysical observations of precipitating particles are critical data sources for numerical weather prediction models and remote sensing retrieval algorithms. However, obtaining coherent data sets of particle microphysics is challenging as
Externí odkaz:
https://doaj.org/article/165e316d25794bbe97d823795c2263c8
Autor:
Becker, Silke, L'Ecuyer, Zia, Jones, Bryan W., Zouache, Moussa A., McDonnell, Fiona S., Vinberg, Frans
Publikováno v:
In Progress in Retinal and Eye Research May 2024 100