04323nam a22006615i 4500 978-3-031-54517-7 DE-He213 20251030111454.0 cr nn 008mamaa 240229s2024 sz | s |||| 0|eng d 9783031545177 978-3-031-54517-7 10.1007/978-3-031-54517-7 doi QA71-90 PBKS bicssc MAT041000 bisacsh PBKS thema Scientific Computing in Electrical Engineering [electronic resource] : SCEE 2022, Amsterdam, The Netherlands, July 2022 / edited by Martijn van Beurden, Neil V. Budko, Gabriela Ciuprina, Wil Schilders, Harshit Bansal, Ruxandra Barbulescu. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XV, 230 p. 92 illus., 80 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda The European Consortium for Mathematics in Industry, 2946-1871 ; 43 Preface -- Organization -- Part I Circuit Simulation and Design -- Part II Device Simulation -- Part III Computational Electromagnetics -- Part IV Mathematical and Computational Methods. This volume comprises selected papers presented at the 14th International Conference on Scientific Computing in Electrical Engineering, SCEE 2022, held in Amsterdam, The Netherlands, in July 2022. The aim of the SCEE 2022 conference was to bring together scientists – mathematicians, electrical engineers, computer scientists, and physicists, from universities and industry – to have in-depth discussions of the latest scientific results in Computational Science and Engineering relevant to Electrical Engineering and to stimulate and inspire active participation of young researchers. This extensive reference work is divided into four parts: Part I Circuit Simulation and Design.- Part II Device Simulation.- Part III Computational Electromagnetics.- Part IV Mathematical and Computational Methods. Each part starts with a general introduction, followed by the respective contributions. The 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. Mathematics Data processing. 65715 Engineering mathematics. 64145 Engineering Data processing. Electrical engineering. 65586 Mathematical physics. Physics. 61293 Computational Mathematics and Numerical Analysis. 66073 Mathematical and Computational Engineering Applications. Electrical and Electronic Engineering. 65588 Theoretical, Mathematical and Computational Physics. 65563 Applied and Technical Physics. 66108 van Beurden, Martijn. editor. edt http://id.loc.gov/vocabulary/relators/edt 72129 Budko, Neil V. editor. edt http://id.loc.gov/vocabulary/relators/edt 72130 Ciuprina, Gabriela. editor. edt http://id.loc.gov/vocabulary/relators/edt 11717 Schilders, Wil. editor. edt http://id.loc.gov/vocabulary/relators/edt 72131 Bansal, Harshit. editor. edt http://id.loc.gov/vocabulary/relators/edt 72132 Barbulescu, Ruxandra. editor. edt http://id.loc.gov/vocabulary/relators/edt 72133 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031545160 Printed edition: 9783031545184 Printed edition: 9783031545191 The European Consortium for Mathematics in Industry, 2946-1871 ; 43 72134 https://doi.org/10.1007/978-3-031-54517-7 ZDB-2-SMA ZDB-2-SXMS 58010 58010