Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Mai 2018
Genre:	Schulbücher
	Applied mathematics / C / Computational Science and Engineering / Computer mathematics / Computer modelling & simulation / computer science / Computer simulation / Computer-Aided Design (CAD) / Computer-aided engineering / Computer-Aided Engineering (CAD, CAE) and Design / Engineering mathematics / Mathematical and Computational Engineering / Mathematical and Computational Engineering Applications / Mathematical Modeling and Industrial Mathematics / Mathematical models / Mathematical physics / Mathematics and Statistics / Maths for engineers / Maths for scientists / Numerical and Computational Physics, Simulation / Physics / Simulation and Modeling / Theoretical, Mathematical and Computational Physics
ISBN:	9783319808000
EAN-Code:	9783319808000
Verlag:	Springer Nature EN
Einband:	Kartoniert
Sprache:	English
Serie:	#23 - Mathematics in Industry The European Consortium for Mathematics in Industry
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	4102 gr
Seiten:	256
Illustration:	XI, 256 p. 125 illus., 67 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen
Zus. Info:	Previously published in hardcover
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

This book is a collection of selected papers presented at the 10th International Conference on Scientific Computing in Electrical Engineering (SCEE), held in Wuppertal, Germany in 2014. The book is divided into five parts, reflecting the main directions of SCEE 2014: 1. Device Modeling, Electric Circuits and Simulation, 2. Computational Electromagnetics, 3. Coupled Problems, 4. Model Order Reduction, and 5. Uncertainty Quantification. Each part starts with a general introduction followed by the actual papers.  The aim of the SCEE 2014 conference was to bring together scientists from academia and industry, mathematicians, electrical engineers, computer scientists, and physicists, with the goal of fostering 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 methodological focus was on model order reduction anduncertainty quantification.