In the past decades, Model Order Reduction (MOR) has demonstrated its robustness and
wide applicability for simulating large-scale mathematical models in engineering and the …

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 …

In this paper, we investigate an interpolatory projection framework for model reduction of
descriptor systems. With a simple numerical example, we first illustrate that directly applying …

Due to escalating manufacturing costs the latest and most advanced semiconductor
technologies are often available at off-shore foundries. Utilizing these facilities significantly …

In this paper, we discuss the model order reduction problem for descriptor systems, that is,
systems with dynamics described by differential-algebraic equations. We focus on linear …

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 …

We present a novel reformulation of balanced truncation, a classical model reduction
method. The principal innovation that we introduce comes through the use of system …

Presenting a comprehensive overview of the design automation algorithms, tools, and
methodologies used to design integrated circuits, the Electronic Design Automation for …

Mathematical models are at the core of modern science and technology. An accurate
description of behaviors, systems and processes often requires the use of complex models …

Large resistor networks arise during the design of very-large-scale integration chips as a
result of parasitic extraction and electro static discharge analysis. Simulating these large …