1 citations · 1 across the 3 of their papers we have counts for
3 papers
On Bounding and Approximating Functions of Multiple Expectations using Quasi-Monte Carlo
Aleksei G. Sorokin, Jagadeeswaran Rathinavel
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…
Challenges in Developing Great Quasi-Monte Carlo Software
Sou-Cheng T. Choi, Yuhan Ding, Fred J. Hickernell +2
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.…
Computationally Efficient and Error Aware Surrogate Construction for Numerical Solutions of Subsurface Flow Through Porous Media
Aleksei G. Sorokin, Aleksandra Pachalieva, Daniel O'Malley +3
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 inj…