The major concerns in state-of-the-art model reduction algorithms are: achieving accurate
models of sufficiently small size, numerically stable and efficient generation of the models …

In this paper, we present a methodology for generating guaranteed passive time-domain
models of subsystems described by tabulated frequency-domain data obtained through …

Model order reduction (MOR) techniques reduce the complexity of VLSI designs, paving the
way to higher operating speeds and smaller feature sizes. This book presents a systematic …

In this paper, artificial neural-network approaches to electromagnetic (EM)-based modeling
in both frequency and time domains and their applications to nonlinear circuit optimization …

Passive macromodeling of high-speed package and interconnect modules characterized by
measured/simulated data has generated immense interest during the recent years. This …

With the continually increasing operating frequencies, complex high-speed interconnect and
package modules require characterization based on measured/simulated data. Several …

In this paper an optimization based model order reduction (MOR) framework is proposed.
The method involves setting up a quasiconvex program that explicitly minimizes a relaxation …

Traditional transformer models available in EMTP-like software packages are not capable of
representing transformer behavior during a transient state, which includes high frequencies …

As system integration evolves and tighter design constraints must be met, it becomes
necessary to account for the non-ideal behavior of all the elements in a system. For high …

Given a graph G on n nodes we say that a graph T on n+ k nodes is a k-fault tolerant version
of G, if we can embed G in any n node induced subgraph of T. Thus T can sustain k faults …