Sparse polynomial chaos expansions (PCE) are a popular surrogate modelling method that
takes advantage of the properties of PCE, the sparsity-of-effects principle, and powerful …

As non-intrusive polynomial chaos expansion (PCE) techniques have gained growing
popularity among researchers, we here provide a comprehensive review of major sampling …

Optimal sensor and actuator placement is an important unsolved problem in control theory.
Nearly every downstream control decision is affected by these sensor and actuator …

Randomized numerical linear algebra-RandNLA, for short-concerns the use of
randomization as a resource to develop improved algorithms for large-scale linear algebra …

Polynomial chaos expansions (PCE) are well-suited to quantifying uncertainty in models
parameterized by independent random variables. The assumption of independence leads to …

In the field of uncertainty quantification, sparse polynomial chaos (PC) expansions are
commonly used by researchers for a variety of purposes, such as surrogate modeling. Ideas …

A modern aircraft may require on the order of thousands of custom shims to fill gaps
between structural components in the airframe that arise due to manufacturing tolerances …

Performance evaluations for propellers operating at high altitudes are subject to increased
uncertainty due to scarce experimental or flight data and difficulties in modeling low …

The characterization of intermittent, multiscale, and transient dynamics using data-driven
analysis remains an open challenge. We demonstrate an application of the dynamic mode …

The aim of the current paper is the robust optimization of an internally cooled gas turbine
vane by increasing the cooling performance and decreasing the sensitivity of the …