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020 _a9783031545177
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024 7 _a10.1007/978-3-031-54517-7
_2doi
050 4 _aQA71-90
072 7 _aPBKS
_2bicssc
072 7 _aMAT041000
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072 7 _aPBKS
_2thema
245 1 0 _aScientific Computing in Electrical Engineering
_h[electronic resource] :
_bSCEE 2022, Amsterdam, The Netherlands, July 2022 /
_cedited by Martijn van Beurden, Neil V. Budko, Gabriela Ciuprina, Wil Schilders, Harshit Bansal, Ruxandra Barbulescu.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXV, 230 p. 92 illus., 80 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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490 1 _aThe European Consortium for Mathematics in Industry,
_x2946-1871 ;
_v43
505 0 _aPreface -- Organization -- Part I Circuit Simulation and Design -- Part II Device Simulation -- Part III Computational Electromagnetics -- Part IV Mathematical and Computational Methods.
520 _aThis 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.
650 0 _aMathematics
_xData processing.
_965715
650 0 _aEngineering mathematics.
_964145
650 0 _aEngineering
_xData processing.
650 0 _aElectrical engineering.
_965586
650 0 _aMathematical physics.
650 0 _aPhysics.
_961293
650 1 4 _aComputational Mathematics and Numerical Analysis.
_966073
650 2 4 _aMathematical and Computational Engineering Applications.
650 2 4 _aElectrical and Electronic Engineering.
_965588
650 2 4 _aTheoretical, Mathematical and Computational Physics.
_965563
650 2 4 _aApplied and Technical Physics.
_966108
700 1 _avan Beurden, Martijn.
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700 1 _aBudko, Neil V.
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700 1 _aCiuprina, Gabriela.
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700 1 _aSchilders, Wil.
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700 1 _aBansal, Harshit.
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_972132
700 1 _aBarbulescu, Ruxandra.
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710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
_z9783031545191
830 0 _aThe European Consortium for Mathematics in Industry,
_x2946-1871 ;
_v43
_972134
856 4 0 _uhttps://doi.org/10.1007/978-3-031-54517-7
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