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標(biāo)題: Titlebook: System Reduction for Nanoscale IC Design; Peter Benner Book 2017 Springer International Publishing AG, part of Springer Nature 2017 circui [打印本頁]

作者: deduce    時間: 2025-3-21 16:14
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作者: exercise    時間: 2025-3-21 23:39
Michael Hinze,Martin Kunkel,Ulrich Matthes,Morten Vierling series of interviews conducted to 15 Portuguese software startups installed in a technological cluster located in the northeast of Portugal. Based on the results obtained, it was appropriate to add a new dimension to the ELDM model (learning) and complementing it with the perspectives of the busine
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Peter Benner,André Schneiderarticular, we have identified that the changes in the business elements that support the production of the value proposition (left-hand side of the Business Model Canvas) affect the elements that explain the strategy of delivering the value proposition to customers (right-hand side of the Business M
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Matthias Bollh?fer,André K. Epplerepresenting two different perspectives on the tendering process. The results indicate that although there are significant differences in maturity among public sector organizations participating in procurement, several common themes emerged from nearly all the interviews. Furthermore, in light of con
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作者: 要素    時間: 2025-3-23 01:27
Model Order Reduction of Integrated Circuits in Electrical Networks,onal complexity. We provide numerical comparisons which demonstrate the performance of the presented model reduction approach. We compare reduced and fine models and give numerical results for a basic network with one diode. Furthermore we discuss residual based sampling to construct POD models whic
作者: 睨視    時間: 2025-3-23 06:30
Book 2017diffusion equations for semiconductor devices. The performance of these methods is illustrated with numerical experiments using real-world data. Readers will benefit from an up-to-date overview of the latest model reduction methods in computational nanoelectronics..
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https://doi.org/10.1007/978-3-319-07236-4circuit simulation; computational nanoelectronics; device simulation; ?model order reduction; nanoelectr
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作者: Dealing    時間: 2025-3-24 10:09
ted in dynamic entrepreneurial ecosystems which, alongside intrinsic aspects of the business, are important determinants of the success of new companies. However, most startups created in these innovation-oriented spaces do not survive the first years of life, due to the high competitiveness of the
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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
作者: 調(diào)整校對    時間: 2025-3-25 20:38
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
作者: Tinea-Capitis    時間: 2025-3-26 02:41

作者: Explosive    時間: 2025-3-26 07:47
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
作者: Plaque    時間: 2025-3-26 08:48

作者: AMOR    時間: 2025-3-26 14:14
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
作者: 歌唱隊    時間: 2025-3-26 18:58

作者: 得體    時間: 2025-3-26 21:40
Reduced Representation of Power Grid Models,rnoldi method or the Jacobi-Davidson algorithm. We analyze this approach regarding stability, passivity, and reciprocity preservation, derive error bounds, and discuss issues arising in the numerical implementation of this method.
作者: Limerick    時間: 2025-3-27 01:46
Coupling of Numeric/Symbolic Reduction Methods for Generating Parametrized Models of Nanoelectronicen performed using different reduction techniques. Combining the reduced subsystems a reduced model of the overall system results. Finally, the usability of the new techniques is demonstrated on two circuit examples typically used in industrial applications.
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作者: 拍翅    時間: 2025-3-27 13:13
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