The pivotal role played by semiconductor lasers in telecommunications and data storage
applications requires dealing with time lag and relaxation oscillations, which limit bandwidth …

We present an algorithm for computing sparse, least squares‐based polynomial chaos
expansions, incorporating both adaptive polynomial bases and sequential experimental …

This article introduces an hp hp‐adaptive multi‐element stochastic collocation method,
which additionally allows to re‐use existing model evaluations during either hh‐or pp …

In this paper, we address discrete linear systems in the frequency domain, where both
frequency and random parameters are considered. Sampling such a system many times is …

The design of intrinsically flat two-dimensional optical components, ie, metasurfaces,
generally requires an extensive parameter search to target the appropriate scattering …

Deterministic interpolation and quadrature methods are often unsuitable to address
Bayesian inverse problems depending on computationally expensive forward mathematical …

The present work addresses the problems of high-dimensional approximation and
uncertainty quantification in the context of electromagnetic field simulations. In the presence …

In this paper we present an algorithm for yield estimation and optimization consisting of
Hessian-based optimization methods, an adaptive Monte Carlo (MC) strategy, polynomial …

We consider time-harmonic electromagnetic scattering problems on perfectly conducting
scatterers with uncertain shape. Thus, the scattered field will also be uncertain. Based on the …

Abstract Generalized Polynomial Chaos (gPC) expansions are well established for forward
uncertainty propagation in many application areas. Although the associated computational …