Zobrazeno 1 - 6
of 6
pro vyhledávání: '"RATHINAVEL, JAGADEESWARAN"'
Monte Carlo and Quasi-Monte Carlo methods present a convenient approach for approximating the expected value of a random variable. Algorithms exist to adaptively sample the random variable until a user defined absolute error tolerance is satisfied wi
Externí odkaz:
http://arxiv.org/abs/2311.07555
Autor:
Choi, Sou-Cheng T., Ding, Yuhan, Hickernell, Fred J., Rathinavel, Jagadeeswaran, Sorokin, Aleksei G.
Quasi-Monte Carlo (QMC) methods have developed over several decades. With the explosion in computational science, there is a need for great software that implements QMC algorithms. We summarize the QMC software that has been developed to date, propos
Externí odkaz:
http://arxiv.org/abs/2311.06162
Autor:
Rathinavel, Jagadeeswaran
Automatic cubatures approximate integrals to user-specified error tolerances. For high dimensional problems, it is difficult to adaptively change the sampling pattern to focus on peaks because peaks can hide more easily in high dimensional space. But
Externí odkaz:
http://arxiv.org/abs/2210.03253
Autor:
Sou-Cheng T. Choi, Fred J. Hickernell, Rathinavel Jagadeeswaran, Michael J. McCourt, Aleksei G. Sorokin
Publikováno v:
Springer Proceedings in Mathematics & Statistics ISBN: 9783030983185
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::114e3d72cd19644b50ab63e0c6bd1612
https://doi.org/10.1007/978-3-030-98319-2_2
https://doi.org/10.1007/978-3-030-98319-2_2
Publikováno v:
Advances in Modeling and Simulation ISBN: 9783031101922
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2cd54e2a981bc4ab7b253ba2366f7f3
https://doi.org/10.1007/978-3-031-10193-9_15
https://doi.org/10.1007/978-3-031-10193-9_15
Autor:
XIN TONG, T. CHOI, SOU-CHENG, YUHAN DING, FRED J. HICKERNELL, LAN JIANG, JIMÉNEZ RUGAMA, LLUÍS ANTONI, RATHINAVEL, JAGADEESWARAN, KAN ZHANG, YIZHI ZHANG, XUAN ZHOU
Publikováno v:
Journal of Open Research Software; 2022, Vol. 10 Issue 1, p1-8, 8p
