Boosting Numerical Efficiency with Low Discrepancy Sampling: Enhancing Estimation and Integration in Diverse Fields from Fred Hickernell and the QMCPy Library

This talk will discuss how low discrepancy sampling can improve the efficiency of estimating an expectation or integral, which is an important topic in various fields such as high energy physics, Bayesian inference, image rendering, quantitative finance, and uncertainty quantification. The talk will emphasize low discrepancy sampling and its ability to improve the efficiency ofContinue reading “Boosting Numerical Efficiency with Low Discrepancy Sampling: Enhancing Estimation and Integration in Diverse Fields from Fred Hickernell and the QMCPy Library”

QMCPy Events Coming Soon

Our team is excited to announce that we will be presenting on QMCPy at the following upcoming events SAMO 2022: The Tenth International Conference on Sensitivity of Model Output. March 14 – 16, 2022.  2022 CORS/INFORMS International Conference. June 5 – 8, 2022. MCQMC 2022: The 15th International Conference on Monte Carlo and Quasi-Monte CarloContinue reading “QMCPy Events Coming Soon”

A Collection of QMCPy Posters

The QMCPy team has developed posters for conferences and events promoting scientific computation. The following posters highlight uses and features of the QMCPy package. CAURS 2021 Poster Session  SIAM CSE 2021 Poster Session Applied math, Biology, Chemistry, Physics Back to School Poster Session. Illinois Institute of Technology, August 2020. Menger Day Poster Session. IllinoisContinue reading “A Collection of QMCPy Posters”