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Download the fantastic book titled Model Reduction for Circuit Simulation written by Peter Benner, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Model Reduction for Circuit Simulation", which was released on 25 March 2011. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Technology & Engineering genre.

Summary of Model Reduction for Circuit Simulation by Peter Benner PDF

Simulation based on mathematical models plays a major role in computer aided design of integrated circuits (ICs). Decreasing structure sizes, increasing packing densities and driving frequencies require the use of refined mathematical models, and to take into account secondary, parasitic effects. This leads to very high dimensional problems which nowadays require simulation times too large for the short time-to-market demands in industry. Modern Model Order Reduction (MOR) techniques present a way out of this dilemma in providing surrogate models which keep the main characteristics of the device while requiring a significantly lower simulation time than the full model. With Model Reduction for Circuit Simulation we survey the state of the art in the challenging research field of MOR for ICs, and also address its future research directions. Special emphasis is taken on aspects stemming from miniturisations to the nano scale. Contributions cover complexity reduction using e.g., balanced truncation, Krylov-techniques or POD approaches. For semiconductor applications a focus is on generalising current techniques to differential-algebraic equations, on including design parameters, on preserving stability, and on including nonlinearity by means of piecewise linearisations along solution trajectories (TPWL) and interpolation techniques for nonlinear parts. Furthermore the influence of interconnects and power grids on the physical properties of the device is considered, and also top-down system design approaches in which detailed block descriptions are combined with behavioral models. Further topics consider MOR and the combination of approaches from optimisation and statistics, and the inclusion of PDE models with emphasis on MOR for the resulting partial differential algebraic systems. The methods which currently are being developed have also relevance in other application areas such as mechanical multibody systems, and systems arising in chemistry and to biology. The current number of books in the area of MOR for ICs is very limited, so that this volume helps to fill a gap in providing the state of the art material, and to stimulate further research in this area of MOR. Model Reduction for Circuit Simulation also reflects and documents the vivid interaction between three active research projects in this area, namely the EU-Marie Curie Action ToK project O-MOORE-NICE (members in Belgium, The Netherlands and Germany), the EU-Marie Curie Action RTN-project COMSON (members in The Netherlands, Italy, Germany, and Romania), and the German federal project System reduction in nano-electronics (SyreNe).


Detail About Model Reduction for Circuit Simulation PDF

  • Author : Peter Benner
  • Publisher : Springer Science & Business Media
  • Genre : Technology & Engineering
  • Total Pages : 317 pages
  • ISBN : 940070089X
  • PDF File Size : 53,9 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Model Reduction for Circuit Simulation

Model Reduction for Circuit Simulation
  • Publisher : Springer Science & Business Media
  • File Size : 21,9 Mb
  • Release Date : 25 March 2011
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Simulation based on mathematical models plays a major role in computer aided design of integrated circuits (ICs). Decreasing structure sizes, increasing packing densities and driving frequencies require the use of

Model Reduction for Circuit Simulation

Model Reduction for Circuit Simulation
  • Publisher : Springer
  • File Size : 27,5 Mb
  • Release Date : 08 April 2011
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Simulation based on mathematical models plays a major role in computer aided design of integrated circuits (ICs). Decreasing structure sizes, increasing packing densities and driving frequencies require the use of

Model Order Reduction: Theory, Research Aspects and Applications

Model Order Reduction: Theory, Research Aspects and Applications
  • Publisher : Springer Science & Business Media
  • File Size : 37,7 Mb
  • Release Date : 27 August 2008
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The idea for this book originated during the workshop “Model order reduction, coupled problems and optimization” held at the Lorentz Center in Leiden from S- tember 19–23, 2005. During one of the

Reduced Order Methods for Modeling and Computational Reduction

Reduced Order Methods for Modeling and Computational Reduction
  • Publisher : Springer
  • File Size : 48,7 Mb
  • Release Date : 05 June 2014
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This monograph addresses the state of the art of reduced order methods for modeling and computational reduction of complex parametrized systems, governed by ordinary and/or partial differential equations, with

System Reduction for Nanoscale IC Design

System Reduction for Nanoscale IC Design
  • Publisher : Springer
  • File Size : 20,5 Mb
  • Release Date : 02 June 2017
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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

Realization and Model Reduction of Dynamical Systems

Realization and Model Reduction of Dynamical Systems
  • Publisher : Springer Nature
  • File Size : 24,6 Mb
  • Release Date : 09 June 2022
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This book celebrates Professor Thanos Antoulas's 70th birthday, marking his fundamental contributions to systems and control theory, especially model reduction and, more recently, data-driven modeling and system identification. Model reduction

Machine Learning for Model Order Reduction

Machine Learning for Model Order Reduction
  • Publisher : Springer
  • File Size : 29,5 Mb
  • Release Date : 02 March 2018
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This Book discusses machine learning for model order reduction, which can be used in modern VLSI design to predict the behavior of an electronic circuit, via mathematical models that predict

Coupled Multiscale Simulation and Optimization in Nanoelectronics

Coupled Multiscale Simulation and Optimization in Nanoelectronics
  • Publisher : Springer
  • File Size : 28,6 Mb
  • Release Date : 15 June 2015
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Designing complex integrated circuits relies heavily on mathematical methods and calls for suitable simulation and optimization tools. The current design approach involves simulations and optimizations in different physical domains (device,

Dimension Reduction of Large-Scale Systems

Dimension Reduction of Large-Scale Systems
  • Publisher : Springer Science & Business Media
  • File Size : 49,8 Mb
  • Release Date : 30 March 2006
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In the past decades, model reduction has become an ubiquitous tool in analysis and simulation of dynamical systems, control design, circuit simulation, structural dynamics, CFD, and many other disciplines dealing