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" Scientific computing in electrical engineering : "
Ulrich Langer, Wolfgang Amrhein, Walter Zulehner, editors.
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BL
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| Record Number
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864904
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| Main Entry
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International Workshop on Scientific Computing in Electrical Engineering(11th :2016 :, Saint Wolfgang, Austria)
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Scientific computing in electrical engineering : : SCEE 2016, St. Wolfgang, Austria, October 2016 /\ Ulrich Langer, Wolfgang Amrhein, Walter Zulehner, editors.
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| Publication Statement
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Cham, Switzerland :: Springer,, [2018]
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, ©2018
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| Series Statement
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Mathematics in industry,; 28
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1 online resource :: illustrations
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| ISBN
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3319755374
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: 3319755382
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: 9783319755373
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: 9783319755380
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9783319755373
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Includes bibliographical references and index.
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| Contents
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Intro; Foreword; Preface; Acknowledgements; Contents; Contributors; Acronyms; Part I Computational Electromagnetics; 1 Preliminary Numerical Study on Electrical Stimulation at Alloplastic Reconstruction Plates of the Mandible; 1.1 Medical Background and Previous Work; 1.2 Set-Up and Solution of the Bio-Electric Model; 1.3 Comparison of Two Stimulation Sites; 1.4 Conclusion and Outlook; References; 2 Evaluation of Capacitive EMG Sensor Geometries by Simulation and Measurement; 2.1 Introduction; 2.2 Simulation of EMG; 2.2.1 Simulation in COMSOL Multiphysics.
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2.2.2 Simulation in MATLAB (Nodal Analysis)2.3 Experimental Methods; 2.3.1 Measurement Setup; 2.3.2 EMG Measurement; 2.4 Results; 2.5 Conclusion; References; 3 Stability Analysis of Electromagnetic Transient Simulations; 3.1 Introduction; 3.2 Discretization Procedure for the Maxwell-Ampere Equation; 3.2.1 Spatial Discretization; 3.3 Some Theoretical Considerations; 3.4 The Impact of Meshing; 3.5 Conclusion; References; 4 Sensitivity of Lumped Parameters to Geometry Changes in Finite Element Models; 4.1 Introduction; 4.2 Extraction and Sensitivity Analysis of Circuit Parameters.
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6.1 Introduction6.2 Transient Sensitivities; 6.2.1 Transient Direct Sensitivities; 6.2.2 Transient Adjoint Sensitivities; 6.3 Polynomial Chaos Expansion Methods; 6.4 Results for CMOS Inverter Circuit; 6.5 Conclusions; References; 7 Coupled Circuit Device Simulation; 7.1 Introduction; 7.2 Coupled Simulation; 7.3 Implementation; 7.3.1 Lumped Device Models; 7.3.2 Replacement of a Lumped Device Model by a Field Model; 7.4 Numerical Results; 7.5 Conclusions; References; Part III Coupled Problems and Multi-Scale Approaches in Space and Time.
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8 Density Estimation Techniques in Cosimulation Using Spectral- and Kernel Methods8.1 Introduction; 8.2 Lower Bound Estimator for Purely Algebraic Coupling; 8.3 Density Estimation Techniques; 8.4 Numerical Test Example; 8.5 Conclusions; References; 9 Multirate DAE/ODE-Simulation and Model Order Reduction for Coupled Field-Circuit Systems; 9.1 Introduction; 9.2 Model Order Reduction for Magneto-Quasistatic Equations; 9.3 Multirate Time Integration for ODE/DAE-Systems; 9.4 Simulation of a Coupled Electric Field-Circuit System; 9.5 Conclusions; References.
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| Abstract
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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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Electrical engineering-- Data processing, Congresses.
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Engineering mathematics-- Data processing, Congresses.
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Computer modelling simulation.
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Computer-aided design (CAD)
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Electrical engineering-- Data processing.
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Electrical engineering.
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Engineering mathematics-- Data processing.
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Mathematical modelling.
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Mathematical physics.
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Maths for scientists.
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TECHNOLOGY ENGINEERING-- Mechanical.
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Mathematics.
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Computational Science and Engineering.
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Computer-Aided Engineering (CAD, CAE) and Design.
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Electrical Engineering.
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Mathematical Modeling and Industrial Mathematics.
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Simulation and Modeling.
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Theoretical, Mathematical and Computational Physics.
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| Dewey Classification
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621.3015118
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| LC Classification
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TK5
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| Added Entry
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Amrhein, Wolfgang
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Langer, Ulrich,1952-
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Zulehner, Walter,1955-
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| Parallel Title
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SCEE 2016
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