Titlebook: System Reduction for Nanoscale IC Design; Peter Benner Book 2017 Springer International Publishing AG, part of Springer Nature 2017 circui

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1612-3956 or terminal reduction.Illustrates the performance of propose.This book describes the computational challenges posed by the progression toward nanoscale electronic devices and increasingly short design cycles in the microelectronics industry, and proposes methods of model reduction which facilitate c

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Model Order Reduction of Integrated Circuits in Electrical Networks,e discretized in space using mixed finite element method. This discretization yields a high-dimensional differential-algebraic equation. Balancing-related model reduction is used to reduce the dimension of the decoupled linear network equations, while the semidiscretized semiconductor models are red

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Reduced Representation of Power Grid Models,ts and outputs. This is no longer the case, e.g., for the power supply network for the functional circuit elements on a chip. Here, the order of inputs/outputs, or ., is often of the same order as the number of equations. In order to apply classical MOR techniques to these ., it is therefore mandato

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Low-Rank Cholesky Factor Krylov Subspace Methods for Generalized Projected Lyapunov Equations,popular method for constructing a reduced order model. In the heart of Balanced Truncation methods, a sequence of projected generalized Lyapunov equations has to be solved. In this article we present a general framework for the numerical solution of projected generalized Lyapunov equations using pre

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