Titlebook: Scientific Computing in Electrical Engineering; Gabriela Ciuprina,Daniel Ioan Book 2007 Springer-Verlag Berlin Heidelberg 2007 Fourier tra

ADJ

Overview of Circuit-Simulation Activities at TKK CTLCTL). This paper is mostly based on the results of the national projects Advanced Radio Frequency SImulation and Modeling (ARFSIM 2002–2003) [Roo04], MOdeling and Simulation for Advanced Integrated Circuits and Systems (MOSAICS 2004–2005), and Accurate Models Aim for Zero Errors (AMAZE 2006–2008). A

刺耳的聲音

Outstanding Issues in Model Order Reductionrucial step in the simulation, control, and optimization of complex physical systems. Reducing the order or dimension of models of such systems, is paramount to enabling their simulation and verification. While much progress has been achieved in the last few years regarding the robustness, efficienc

名字的誤用

Efficient Initialization of Artificial Neural Network Weights for Electrical Component Modelsxity, integration density, and decreasing time to market. Recently, it has been shown that Artificial Neural Networks (ANNs) offer solutions to urgent modeling problems encountered with conventional numerical methods (e.g., 3-D EM simulation) and empirical models. Fast and accurate models based on A

危險

敲詐

Model Order Reduction of Large Scale ODE Systems: MOR for ANSYS versus ROM Workbenchvant problems of the microelectronic-industry. MOR for ANSYS is implemented in C++ and ROMWorkbench is a MATLAB code.We further compare two Arnoldi-based reduction algorithms, which seems to be the most promising for microsystem design applications. The chosen benchmarks are large scale linear ODE s

誘惑

金哥占卜者

profligate

Outstanding Issues in Model Order Reductiony and applicability of these techniques, certain problems of relevance still pose difficulties or renewed challenges that are not satisfactorily solved with the existing approaches. Furthermore, new applications for which dimension reduction is crucial, are becoming increasingly relevant, raising new issues in the quest for increased performance.

Camouflage

Comparison of Model Reduction Methods with Applications to Circuit Simulation (PRBT-Ham), PRIMA, spectral zero method (SZM) and its Hamiltonian implementation (SZM-Ham), and finally, optimal .. Their performance is analyzed in terms of several criteria such as: preservation of controllability, observability, stability and passivity, relative . and . norms, and the computational cost involved.

袋鼠