The rational Krylov space is recognized as a powerful tool within model order reduction
techniques for linear dynamical systems. However, its success has been hindered by the …

The simulation and control of complex technical systems in many fields of application, like
structural mechanics, electrothermics, or acoustics, requires methods for the efficient …

The model order reduction techniques based on the multipoint projection Krylov methods
have become the methods of choice to generate large macromodels of multiport RLC …

In this paper we review some of the state of the art techniques for parasitic interconnect
extraction in the presence of random geometrical variations due to uncertainties in the …

In this paper we present a stochastic model order reduction technique for interconnect
extraction in the presence of process variabilities, ie variation-aware extraction. It is …

This paper presents a methodology for optimizing sample point selection in the context of
model order reduction (MOR). The procedure iteratively selects samples from a large …

A model order reduction method is developed for an operator with a non-empty null-space
and applied to numerical solution of a forward multi-frequency eddy current problem using a …

(cont.) The second technique is the combined Neumann Hermite expansion (CNHE). The
CNHE combines the advantages of both the standard Neumann expansion and the …

We propose a novel automatic adaptive multi-point moment matching algorithm for model
order reduction (MOR) of descriptor systems. The algorithm implements both adaptive …

In this article, we propose a new model order-reduction method for compact modeling of
interconnect circuits over wide frequency band using a novel complex-valued adaptive …