In today's technological world, physical and artificial processes are mainly described by
mathematical models, which can be used for simulation or control. These processes are …

In this first section we present a high level discussion on computational science, and the
need for compact models of phenomena observed in nature and industry. We argue that …

The problem of model reduction with preservation of passivity is investigated. The approach
is based on positive real interpolation, and is inspired by the similarity between Löwner and …

A reduced-order modeling method based on a system description in terms of orthonormal
Laguerre functions, together with a Krylov subspace decomposition technique is presented …

The rapid development of MEMS‐based devices requires 3D time‐dependent simulations
for coupled physical domains (thermal, mechanical, electrical, etc.). This in turn requires the …

Model-order reduction is a key technique to do fast simulation of interconnect networks.
Among many model-order reduction algorithms, those based on projection methods work …

Adapted finite-difference time-domain (FDTD) update equations exist for a number of objects
that are smaller than the grid step, such as wires and thin slots. We provide a technique that …

A baseline correction method that uses basis set projection to estimate spectral
backgrounds has been developed and applied to gas chromatography/mass spectrometry …

It is hard to imagine today's life without fast electronic devices. Computers, mobile phones,
navigational equipment, all these devices only exist on account of very fast chips. The speed …

A provably stable reduced-order model, based on a projection onto a scaled orthonormal
Laguerre basis, followed by a SVD step, is proposed. The method relies on the conformal …