Scientific Computing in Electrical Engineering SCEE 2008

Scientific Computing in Electrical Engineering SCEE 2008

Scientific Computing in Electrical Engineering SCEE 2008 by Janne Roos, Luis R.J. Costa

Contents of scientific Computing in Electrical Engineering

  • Part I Computational Electromagnetics
  • Introduction to Part I
  • Challenges and Approaches in EMC Modeling of Wireless Consumer Devices
  • A New Adaptive Approach to Modeling Measured Multi-Port Scattering Parameters
  • Parametric Models of Transmission Lines Based on First Order Sensitivities Components
  • A Novel Graphical Based Tool for Extraction of
  • Magnetic Reluctances Between On-Chip Current Loops
  • A Robust Technique for Modelling Nonlinear Lumped Elements
  • Spanning Multiple Cells in FDTD
  • Computation of Eigenmodes in Periodic Structures with Dispersive Materials
  • Region-Oriented BEM Formulation for Numerical Computations of Electric Fields
  • Surface Integrated Field Equations Method to Solve D Electromagnetic Problems
  • Reduced Basis Method for Electromagnetic Field Computations
  • Using Nudg++ to Solve Poisson’s Equation on Unstructured Grids
  • Magnetic Force Calculations Applied toMagnetic ForceMicroscopy
  • Relativistic High Order Particle Treatment for Electromagnetic
  • Particle-In-Cell Simulations
  • A Statistical Characterization of Resonant Electromagnetic Interactions with Thin Wires: Variance and Kurtosis Analysis
  • Part II Circuit Simulation
  • Introduction to Part II
  • Wavelets in Circuit Simulation
  • On Local Handling of Inner Equations in Compact Models
  • Hybrid Analysis of Nonlinear Time-Varying Circuits Providing DAEs with Index at Most One
  • Transient Analysis of Nonlinear Circuits Based on Waves
  • Simultaneous Step-Size and Path Control for Efficient Transient Noise
  • Analysis
  • Nonlinear Distortion in Differential Circuits with Single-Ended and
  • Balanced Drive
  • Evaluation of Oscillator Phase and Frequency Transfer Functions
  • Polynomial Chaos for the Computation of Failure Probabilities in
  • Periodic Problems
  • Quasiperiodic Steady-State Analysis of Electronic Circuits by a Spline Basis
  • Accurate Simulation of the Devil’s Staircase of an Injection-Locked
  • Frequency Divider
  • ANN/DNN-Based Behavioral Modeling of RF/Microwave Components and Circuits
  • SurrogateModeling of Low Noise Amplifiers Based on Transistor Level Simulations
  • Computational Statistics Approach to Capacitance Sensitivity Analysis and Gate Delay Time Minimization of TFT-LCDs
  • Lookup-Table Based Settling Error Modeling in SIMULINK
  • Speed-Up Techniques for Time-Domain System Simulations
  • Introduction to Part III
  • Heating of Semiconductor Devices in Electric Circuits Simulation
  • Thermal Simulation the Maximum Entropy Principle
  • Consistent Initialization for Coupled Circuit-Device Simulation
  • Hyperbolic PDAEs for Semiconductor Devices Coupled with Circuits
  • Dopant-Induced Characteristic Fluctuation in Nano-CMOS Digital Circuits
  • Device Structures Using Computational Electrodynamics of On-Chip Coupled Problems
  • Refined by -D Magnetoquasistatic ConductorModels
  • Introduction to Part IV
  • Electromagnetics
  • A Novel Staggered Finite Volume Time Domain Method
  • EM Scattering Calculations Using Potentials
  • Electromagnetism
  • Preconditioner
  • Electromagnetics and Uncertainty Quantification
  • Decompositions
  • Robust FETI Solvers forMultiscale Elliptic PDEs
  • Nonlinear Models for Silicon Semiconductors
  • Multiobjective Optimization Applied to Design of PIFA Antennas
  • Mapping
  • Method
  • Introduction to Part V
  • Simulation
  • Equations
  • Dominant Spectral Zero Method
  • Order Reduction
  • GABOR: Global-Approximation-Based Order Reduction
  • Function Arising in Computational Electromagnetics
  • Decomposition and Low Rank Approximation of IC’s
  • HierarchicalModel-Order Reduction Flow
  • Partitioning-Based RL-In–RL-Out MOR Method
  • Reduction of Large Resistor Networks
  • Linear Approach: Comparing Different Linear Cores
  • Model Order Reduction for Nonlinear IC Models with POD
  • On Model Order Reduction of Perturbed Nonlinear Neural Networks with Feedback

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