Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Sorokin, Aleksei G."'
Autor:
Sorokin, Aleksei G., Rao, Vishwas
Efficiently approximating the probability of system failure has gained increasing importance as expensive simulations begin to play a larger role in reliability quantification tasks in areas such as structural design, power grid design, and safety ce
Externí odkaz:
http://arxiv.org/abs/2311.07733
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:
Sorokin, Aleksei G., Pachalieva, Aleksandra, O'Malley, Daniel, Hyman, James M., Hickernell, Fred J., Hengartner, Nicolas W.
Limiting the injection rate to restrict the pressure below a threshold at a critical location can be an important goal of simulations that model the subsurface pressure between injection and extraction wells. The pressure is approximated by the solut
Externí odkaz:
http://arxiv.org/abs/2310.13765
Autor:
Gjergo, Eda, Sorokin, Aleksei G., Ruth, Anthony, Spitoni, Emanuele, Matteucci, Francesca, Fan, Xilong, Liang, Jinning, Limongi, Marco, Yamazaki, Yuta, Kusakabe, Motohiko, Kajino, Toshitaka
This is the first of a series of papers that will introduce a user-friendly, detailed, and modular GALactic Chemical Evolution Model, GalCEM, that tracks isotope masses as a function of time in a given galaxy. The list of tracked isotopes automatical
Externí odkaz:
http://arxiv.org/abs/2301.02257
Autor:
Sorokin, Aleksei G., Pachalieva, Aleksandra, O’Malley, Daniel, Hyman, James M., Hickernell, Fred J., Hengartner, Nicolas W.
Publikováno v:
In Advances in Water Resources November 2024 193
Autor:
Choi, Sou-Cheng T., Hickernell, Fred J., Jagadeeswaran, R., McCourt, Michael J., Sorokin, Aleksei G.
Practitioners wishing to experience the efficiency gains from using low discrepancy sequences need correct, robust, well-written software. This article, based on our MCQMC 2020 tutorial, describes some of the better quasi-Monte Carlo (QMC) software a
Externí odkaz:
http://arxiv.org/abs/2102.07833