AMCS Seminar

Sharif Rahman
"Uncertainty Quantification in Computational Science and Engineering"

Abstract: I will present an overview of prominent computational methods for solving uncertainty quantification problems encountered in applied sciences, mathematics, and engineering.  More specifically, I will discuss and compare two methods, the commonly used polynomial chaos expansion and our polynomial dimensional decomposition, in tackling high-dimensional stochastic problems. Time permitting, I will address the capabilities and limitations of both methods, including future research directions.

Event Date: 
April 28, 2017 - 3:30pm to 4:30pm
221 MLH
Calendar Category: