The problem of automated macromodel generation is interesting from the viewpoint of
system-level design because if small, accurate reduced-order models of system component …

Many important partial differential equation problems in homogeneous media, such as those
of acoustic or electromagnetic wave propagation, can be represented in the form of integral …

In this paper we present a new algorithm for accelerating the potential calculation which
occurs in the inner loop of iterative algorithms for solving electromagnetic boundary integral …

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, and …

This work presents a model reduction algorithm motivated by a connection between
frequency-domain projection methods and approximation of truncated balanced realizations. The …

The Institute of Medicine (IOM) categorization of prevention into universal, selective and
indicated populations has been widely adopted in the prevention field, yet the terms are not …

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

In this paper we present a generalization of popular linear model reduction methods, such
as Lanczos- and Arnoldi-based algorithms based on rational approximation, to systems …

In this paper we explore the potential of using a general class of functional representation
techniques, kernel-based regression, in the nonlinear model reduction problem. The kernel-…

The proliferation of wireless and mobile products has dramatically increased the number
and variety of low power, high performance electronic systems being designed. Noise is an …