國立虎尾科技大學 |

Scientific Computing in Electrical Engineering = SCEE 2016, St. Wolfgang, Austria, October 2016 /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Scientific Computing in Electrical Engineering/ edited by Ulrich Langer, Wolfgang Amrhein, Walter Zulehner.
Reminder of title:	SCEE 2016, St. Wolfgang, Austria, October 2016 /
other author:	Langer, Ulrich.
Description:	XXVIII, 266 p. 109 illus., 88 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Mathematical models. -
Online resource:	https://doi.org/10.1007/978-3-319-75538-0
ISBN:	9783319755380

Scientific Computing in Electrical Engineering = SCEE 2016, St. Wolfgang, Austria, October 2016 /
Scientific Computing in Electrical EngineeringSCEE 2016, St. Wolfgang, Austria, October 2016 /[electronic resource] :edited by Ulrich Langer, Wolfgang Amrhein, Walter Zulehner. - 1st ed. 2018. - XXVIII, 266 p. 109 illus., 88 illus. in color.online resource. - The European Consortium for Mathematics in Industry ;28. - The European Consortium for Mathematics in Industry ;21.

Foreword -- Preface -- Acknowledgements -- Part I Computational Electromagnetics -- Part II Circuit and Device Modelling & Simulation -- Part III Coupled Problems and Multi-Scale Approaches in Space and Time -- Part IV Mathematical and Computational Methods Including Uncertainty Quantification -- Part V Model Order Reduction -- Part VI Industrial Applications -- 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.

ISBN: 9783319755380

Standard No.: 10.1007/978-3-319-75538-0doiSubjects--Topical Terms:

527886
Mathematical models.

LC Class. No.: TA342-343

Dewey Class. No.: 003.3

Scientific Computing in Electrical Engineering = SCEE 2016, St. Wolfgang, Austria, October 2016 /
LDR:03295nam a22004215i 4500 001 992467
003 DE-He213
005 20200629210051.0
007 cr nn 008mamaa
008 201225s2018 gw | s |||| 0|eng d
020 $a 9783319755380 $9 978-3-319-75538-0
024 7 $a 10.1007/978-3-319-75538-0 $2 doi
035 $a 978-3-319-75538-0
050 4 $a TA342-343
072 7 $a PBWH $2 bicssc
072 7 $a MAT003000 $2 bisacsh
072 7 $a PBWH $2 thema
072 7 $a TBJ $2 thema
082 0 4 $a 003.3 $2 23
245 1 0 $a Scientific Computing in Electrical Engineering $h [electronic resource] : $b SCEE 2016, St. Wolfgang, Austria, October 2016 / $c edited by Ulrich Langer, Wolfgang Amrhein, Walter Zulehner.
250 $a 1st ed. 2018.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a XXVIII, 266 p. 109 illus., 88 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a The European Consortium for Mathematics in Industry ; $v 28
505 0 $a Foreword -- Preface -- Acknowledgements -- Part I Computational Electromagnetics -- Part II Circuit and Device Modelling & Simulation -- Part III Coupled Problems and Multi-Scale Approaches in Space and Time -- Part IV Mathematical and Computational Methods Including Uncertainty Quantification -- Part V Model Order Reduction -- Part VI Industrial Applications -- Index.
520 $a 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.
650 0 $a Mathematical models. $3 527886
650 0 $a Computer mathematics. $3 1199796
650 0 $a Electrical engineering. $3 596380
650 0 $a Computer-aided engineering. $3 560192
650 0 $a Computer simulation. $3 560190
650 0 $a Mathematical physics. $3 527831
650 1 4 $a Mathematical Modeling and Industrial Mathematics. $3 669172
650 2 4 $a Computational Science and Engineering. $3 670319
650 2 4 $a Electrical Engineering. $3 768742
650 2 4 $a Computer-Aided Engineering (CAD, CAE) and Design. $3 669928
650 2 4 $a Simulation and Modeling. $3 669249
650 2 4 $a Theoretical, Mathematical and Computational Physics. $3 768900
700 1 $a Langer, Ulrich. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 528499
700 1 $a Amrhein, Wolfgang. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 680023
700 1 $a Zulehner, Walter. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1203946
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319755373
776 0 8 $i Printed edition: $z 9783319755397
776 0 8 $i Printed edition: $z 9783030092597
830 0 $a The European Consortium for Mathematics in Industry ; $v 21 $3 1264918
856 4 0 $u https://doi.org/10.1007/978-3-319-75538-0
912 $a ZDB-2-SMA
912 $a ZDB-2-SXMS
950 $a Mathematics and Statistics (SpringerNature-11649)
950 $a Mathematics and Statistics (R0) (SpringerNature-43713)