Scientific Computing in Electrical Engineering

SCEE 2016, St. Wolfgang, Austria, October 2016
 
 
Springer (Verlag)
  • erschienen im April 2018
 
  • Buch
  • |
  • Hardcover
  • |
  • XXVIII, 266 Seiten
978-3-319-75537-3 (ISBN)
 
This collection of selected papers presented at the 11th International Conference on Scientific Computing in Electrical Engineering (SCEE), held in St. Wolfgang, Austria, in 2016, showcases the state of the art in SCEE.
The aim of the SCEE 2016 conference was to bring together scientists from academia and industry, mathematicians, electrical engineers, computer scientists, and physicists, and to promote intensive discussions on industrially relevant mathematical problems, with an emphasis on the modeling and numerical simulation of electronic circuits and devices, electromagnetic fields, and coupled problems. The focus in methodology was on model order reduction and uncertainty quantification.
This extensive reference work is divided into six parts: Computational Electromagnetics, Circuit and Device Modeling and Simulation, Coupled Problems and Multi-Scale Approaches in Space and Time, Mathematical and Computational Methods Including Uncertainty Quantification, Model Order Reduction, and Industrial Applications. Each part starts with a general introduction, followed by the respective contributions.

This book will appeal to mathematicians and electrical engineers. Further, it introduces algorithm and program developers to recent advances in the other fields, while industry experts will be introduced to new programming tools and mathematical methods.
1st ed. 2018
  • Englisch
  • Cham
  • |
  • Schweiz
Springer International Publishing
  • Für Beruf und Forschung
  • 88 farbige Abbildungen, 21 s/w Abbildungen
  • |
  • 25 schwarz-weiße und 81 farbige Abbildungen, Bibliographie
  • Höhe: 241 mm
  • |
  • Breite: 161 mm
  • |
  • Dicke: 25 mm
  • 601 gr
978-3-319-75537-3 (9783319755373)
3319755374 (3319755374)
weitere Ausgaben werden ermittelt

Foreword.- Preface.- Acknowledgements.- Part I Computational Electromagnetics: 1 Preliminary Numerical Study on Electrical Stimulation at Alloplastic Reconstruction Plates of the Mandible by Ursula van Rienen et al.- 2 Evaluation of Capacitive EMG Sensor Geometries by Simulation and Measurement by Theresa Roland et al.- 3 Stability Analysis of Electromagnetic Transient Simulations by Wim Schoenmaker et al.- 4 Sensitivity of Lumped Parameters to Geometry Changes in Finite Element Models by Sebastian Schuhmacher et al.- 5 Electro-Thermal Simulations with Skin-Layers and Contacts by Christoph Winkelmann et al.- Part II Circuit and Device Modelling & Simulation: 6 Gradient-Enhanced Polynomial Chaos Methods for Circuit Simulation by Eric R. Keiter et al.- 7 Coupled Circuit Device Simulation by Kai Bittner et al.- Part III Coupled Problems and Multi-Scale Approaches in Space and Time: 8 Density Estimation Techniques in Cosimulation Using Spectral- and Kernel Methods by Kai Gausling et al.- 9 Multirate DAE/ODE-Simulation and Model Order Reduction for Coupled Field-Circuit Systems by Christoph Hachtel et al.- 10 Modelling and Simulation of Electrically Controlled Droplet Dynamics by Yun Ouédraogo et al.- Part IV Mathematical and Computational Methods Including Uncertainty Quantification: 11 Multirate Shooting Method with Frequency Sweep for Circuit Simulation by Kai Bittner et al.- 12 A Trefftz Method for the Time-Harmonic Eddy Current Equation by Raffael Casagrande et al.- 13 Survey on Semi-Explicit Time Integration of Eddy Current Problems by Jennifer Dutiné et al.- 14 A Local Mesh Modification Strategy for Interface Problems with Application to Shape and Topology Optimization by Peter Gangl et al.- 15 Numerical Methods for Derivative-Based Global Sensitivity Analysis in High Dimensions by Qingzhe Liu et al.- 16 Fitting Generalized Gaussian Distributions for Process Capability Index by Theo G.J. Beelen et al.- 17 Robust Optimization of an RFIC Isolation Problem Under Uncertainties by Piotr Putek et al.- Part V Model Order Reduction: 18 Sparse Model Order Reduction for Electro-Thermal Problems with Many Inputs by Nicodemus Banagaaya et al.- 19 Quadrature Methods and Model Order Reduction for Sparse Approximations in Random Linear Dynamical Systems by Roland Pulch.- 20 POD-Based Reduced-Order Model of an Eddy-Current Levitation Problem by MD Rokibul Hasan et al.- 21 Time-Domain Reduced-Order Modelling of Linear Finite-Element Eddy-Current Problems via RL-Ladder Circuits by Ruth V. Sabariego et al.- Part VI Industrial Applications: 22 A Lagrangian Approach to the Simulation of a Constricted Vacuum Arc in a Magnetic Field by Massimiliano Cremonesi et al.- 23 Virtual High Voltage Lab by Andreas Blaszczyk et al.- Index.

This collection of selected papers presented at the 11th International Conference on Scientific Computing in Electrical Engineering (SCEE), held in St. Wolfgang, Austria, in 2016, showcases the state of the art in SCEE.

The aim of the SCEE 2016 conference was to bring together scientists from academia and industry, mathematicians, electrical engineers, computer scientists, and physicists, and to promote intensive discussions on industrially relevant mathematical problems, with an emphasis on the modeling and numerical simulation of electronic circuits and devices, electromagnetic fields, and coupled problems. The focus in methodology was on model order reduction and uncertainty quantification.

This extensive reference work is divided into six parts: Computational Electromagnetics, Circuit and Device Modeling and Simulation, Coupled Problems and Multi-Scale Approaches in Space and Time, Mathematical and Computational Methods Including Uncertainty Quantification, Model Order Reduction, and Industrial Applications. Each part starts with a general introduction, followed by the respective contributions.

This book will appeal to mathematicians and electrical engineers. Further, it introduces algorithm and program developers to recent advances in the other fields, while industry experts will be introduced to new programming tools and mathematical methods.
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