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000838821 019__ $$a1034551672$$a1038424418
000838821 020__ $$a9783319755380$$q(electronic book)
000838821 020__ $$a3319755382$$q(electronic book)
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000838821 0247_ $$a10.1007/978-3-319-75538-0$$2doi
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000838821 08204 $$a621.3015118$$223
000838821 1112_ $$aInternational Workshop on Scientific Computing in Electrical Engineering$$n(11th :$$d2016 :$$cSaint Wolfgang, Austria)
000838821 24510 $$aScientific computing in electrical engineering :$$bSCEE 2016, St. Wolfgang, Austria, October 2016 /$$cUlrich Langer, Wolfgang Amrhein, Walter Zulehner, editors.
000838821 2463_ $$aSCEE 2016
000838821 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2018].
000838821 264_4 $$c©2018
000838821 300__ $$a1 online resource :$$billustrations.
000838821 336__ $$atext$$btxt$$2rdacontent
000838821 337__ $$acomputer$$bc$$2rdamedia
000838821 338__ $$aonline resource$$bcr$$2rdacarrier
000838821 347__ $$atext file$$bPDF$$2rda
000838821 4901_ $$aMathematics in industry,$$x1612-3956 ;$$v28
000838821 504__ $$aIncludes bibliographical references and index.
000838821 5050_ $$aIntro; Foreword; Preface; Acknowledgements; Contents; Contributors; Acronyms; Part I Computational Electromagnetics; 1 Preliminary Numerical Study on Electrical Stimulation at Alloplastic Reconstruction Plates of the Mandible; 1.1 Medical Background and Previous Work; 1.2 Set-Up and Solution of the Bio-Electric Model; 1.3 Comparison of Two Stimulation Sites; 1.4 Conclusion and Outlook; References; 2 Evaluation of Capacitive EMG Sensor Geometries by Simulation and Measurement; 2.1 Introduction; 2.2 Simulation of EMG; 2.2.1 Simulation in COMSOL Multiphysics
000838821 5058_ $$a2.2.2 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
000838821 5058_ $$a6.1 Introduction6.2 Transient Sensitivities; 6.2.1 Transient Direct Sensitivities; 6.2.2 Transient Adjoint Sensitivities; 6.3 Polynomial Chaos Expansion Methods; 6.4 Results for CMOS Inverter Circuit; 6.5 Conclusions; References; 7 Coupled Circuit Device Simulation; 7.1 Introduction; 7.2 Coupled Simulation; 7.3 Implementation; 7.3.1 Lumped Device Models; 7.3.2 Replacement of a Lumped Device Model by a Field Model; 7.4 Numerical Results; 7.5 Conclusions; References; Part III Coupled Problems and Multi-Scale Approaches in Space and Time
000838821 5058_ $$a8 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
000838821 506__ $$aAccess limited to authorized users.
000838821 520__ $$aThis 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.
000838821 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed May 2, 2018).
000838821 650_0 $$aElectrical engineering$$xData processing$$vCongresses.
000838821 650_0 $$aEngineering mathematics$$xData processing$$vCongresses.
000838821 7001_ $$aLanger, Ulrich,$$d1952-$$eeditor.
000838821 7001_ $$aAmrhein, Wolfgang,$$eeditor.
000838821 7001_ $$aZulehner, Walter,$$d1955-$$eeditor.
000838821 77608 $$iPrint version: $$z9783319755373
000838821 830_0 $$aMathematics in industry ;$$v28.
000838821 852__ $$bebk
000838821 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-75538-0$$zOnline Access$$91397441.1
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