The Resource Scientific computing in electrical engineering : SCEE 2016, St. Wolfgang, Austria, October 2016, Ulrich Langer, Wolfgang Amrhein, Walter Zulehner, editors, (electronic book)
Scientific computing in electrical engineering : SCEE 2016, St. Wolfgang, Austria, October 2016, Ulrich Langer, Wolfgang Amrhein, Walter Zulehner, editors, (electronic book)
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The item Scientific computing in electrical engineering : SCEE 2016, St. Wolfgang, Austria, October 2016, Ulrich Langer, Wolfgang Amrhein, Walter Zulehner, editors, (electronic book) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Liverpool.This item is available to borrow from 1 library branch.
Resource Information
The item Scientific computing in electrical engineering : SCEE 2016, St. Wolfgang, Austria, October 2016, Ulrich Langer, Wolfgang Amrhein, Walter Zulehner, editors, (electronic book) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Liverpool.
This item is available to borrow from 1 library branch.
 Summary
 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
 Language
 eng
 Extent
 1 online resource
 Contents

 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 SetUp and Solution of the BioElectric 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
 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 MaxwellAmpere 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
 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 MultiScale Approaches in Space and Time
 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/ODESimulation and Model Order Reduction for Coupled FieldCircuit Systems; 9.1 Introduction; 9.2 Model Order Reduction for MagnetoQuasistatic Equations; 9.3 Multirate Time Integration for ODE/DAESystems; 9.4 Simulation of a Coupled Electric FieldCircuit System; 9.5 Conclusions; References
 Isbn
 9783319755380
 Label
 Scientific computing in electrical engineering : SCEE 2016, St. Wolfgang, Austria, October 2016
 Title
 Scientific computing in electrical engineering
 Title remainder
 SCEE 2016, St. Wolfgang, Austria, October 2016
 Statement of responsibility
 Ulrich Langer, Wolfgang Amrhein, Walter Zulehner, editors
 Title variation
 SCEE 2016
 Subject

 ComputerAided Engineering (CAD, CAE) and Design
 Electrical Engineering
 Electrical engineering  Data processing  Congresses
 Engineering mathematics  Data processing  Congresses
 Mathematical Modeling and Industrial Mathematics
 Mathematics
 Simulation and Modeling
 Theoretical, Mathematical and Computational Physics
 Computational Science and Engineering
 Language
 eng
 Summary
 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
 Cataloging source
 N$T
 Dewey number
 621.3015118
 Illustrations
 illustrations
 Index
 index present
 LC call number
 TK5
 Literary form
 non fiction
 http://bibfra.me/vocab/lite/meetingDate
 2016
 http://bibfra.me/vocab/lite/meetingName
 International Workshop on Scientific Computing in Electrical Engineering
 Nature of contents

 dictionaries
 bibliography
 http://library.link/vocab/relatedWorkOrContributorDate

 1952
 1955
 http://library.link/vocab/relatedWorkOrContributorName

 Langer, Ulrich
 Amrhein, Wolfgang
 Zulehner, Walter
 Series statement
 Mathematics in industry,
 Series volume
 28
 http://library.link/vocab/subjectName

 Electrical engineering
 Engineering mathematics
 Mathematics
 Mathematical Modeling and Industrial Mathematics
 Computational Science and Engineering
 Electrical Engineering
 ComputerAided Engineering (CAD, CAE) and Design
 Simulation and Modeling
 Theoretical, Mathematical and Computational Physics
 Label
 Scientific computing in electrical engineering : SCEE 2016, St. Wolfgang, Austria, October 2016, Ulrich Langer, Wolfgang Amrhein, Walter Zulehner, editors, (electronic book)
 Bibliography note
 Includes bibliographical references and index
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents

 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 SetUp and Solution of the BioElectric 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
 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 MaxwellAmpere 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
 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 MultiScale Approaches in Space and Time
 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/ODESimulation and Model Order Reduction for Coupled FieldCircuit Systems; 9.1 Introduction; 9.2 Model Order Reduction for MagnetoQuasistatic Equations; 9.3 Multirate Time Integration for ODE/DAESystems; 9.4 Simulation of a Coupled Electric FieldCircuit System; 9.5 Conclusions; References
 Extent
 1 online resource
 Form of item
 online
 Isbn
 9783319755380
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Other control number
 10.1007/9783319755380
 Other physical details
 illustrations.
 System control number

 on1032810357
 (OCoLC)1032810357
 Label
 Scientific computing in electrical engineering : SCEE 2016, St. Wolfgang, Austria, October 2016, Ulrich Langer, Wolfgang Amrhein, Walter Zulehner, editors, (electronic book)
 Bibliography note
 Includes bibliographical references and index
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents

 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 SetUp and Solution of the BioElectric 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
 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 MaxwellAmpere 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
 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 MultiScale Approaches in Space and Time
 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/ODESimulation and Model Order Reduction for Coupled FieldCircuit Systems; 9.1 Introduction; 9.2 Model Order Reduction for MagnetoQuasistatic Equations; 9.3 Multirate Time Integration for ODE/DAESystems; 9.4 Simulation of a Coupled Electric FieldCircuit System; 9.5 Conclusions; References
 Extent
 1 online resource
 Form of item
 online
 Isbn
 9783319755380
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Other control number
 10.1007/9783319755380
 Other physical details
 illustrations.
 System control number

 on1032810357
 (OCoLC)1032810357
Subject
 ComputerAided Engineering (CAD, CAE) and Design
 Electrical Engineering
 Electrical engineering  Data processing  Congresses
 Engineering mathematics  Data processing  Congresses
 Mathematical Modeling and Industrial Mathematics
 Mathematics
 Simulation and Modeling
 Theoretical, Mathematical and Computational Physics
 Computational Science and Engineering
Genre
Member of
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