Many critical electronic design automation (EDA) problems suffer from the curse of
dimensionality, ie, the very fast-scaling computational burden produced by large number of …

We present a complete workflow for the extraction of behavioral reduced-order models of
wired interconnect links, including an explicit dependence on geometrical or material …

We propose a novel parametric macromodeling method for systems described by
admittance and impedance representations, which depend on multiple design variables …

Reduced-order models are widely used to reduce the computational cost required by the
numerical assessment of electrical performance during the design cycle of electronic circuits …

This paper presents an algorithm for checking and enforcing passivity of behavioral reduced-
order macromodels of linear time-invariant systems, whose frequency-domain (scattering) …

We present a novel black-box modeling approach for frequency responses that depend on
additional parameters with periodic behavior. The methodology is appropriate for …

A novel state-space realization for parameterized macromodeling is proposed in this paper.
A judicious choice of the state-space realization is required in order to account for the …

We introduce the Vector Fitting algorithm for the creation of reduced order models from the
sampled response of a linear time-invariant system. This datadriven approach to reduction is …

The generation of black-box macromodels of passive components at the chip, package, and
board levels has become an important step of the electronic design automation (EDA) …

This paper proposes a novel state-space matrix interpolation technique to generate linear
parameter-varying (LPV) models starting from a set of local linear time-invariant (LTI) models …