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”
Joseph Coco
Combining the expertise of the StaSASticians and a commitment to ESG principles to deliver comprehensive wealth management and investment.
The StaSASticians are a group of five people who created an innovative solution for better investing during the SAS hackathon. Three students from IIT applied mathematics, Narges, Kan, and Thi, were part of the group. Their solution simplifies investment for both institutions and individuals. Their user-friendly application enables responsible and profitable investments by filtering companiesContinue reading “Combining the expertise of the StaSASticians and a commitment to ESG principles to deliver comprehensive wealth management and investment.”
Illinois Tech receives NSF grant to offer intensive summer research program in computational mathematics and data science for undergraduates
Illinois Institute of Technology has secured a grant from the National Science Foundation’s Research Experiences for Undergraduates program to allow students across the country to participate in an intensive summer research project. The grant will allow ten undergraduate students to spend ten weeks working on computational mathematics and data science research projects on the IllinoisContinue reading “Illinois Tech receives NSF grant to offer intensive summer research program in computational mathematics and data science for undergraduates”