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Progress in Industrial Mathematics at ECMI 2012 / edited by Magnus Fontes, Michael Günther, Nicole Marheineke

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Mathematics in Industry ; 19 | The European Consortium for Mathematics in Industry ; 19 | SpringerLink BücherPublisher: Cham ; s.l. : Springer International Publishing, 2014Description: Online-Ressource (XXII, 460 p. 140 illus., 92 illus. in color, online resource)ISBN:
  • 9783319053653
Subject(s): Additional physical formats: 9783319053646 | Druckausg.:: Progress in industrial mathematics at ECMI 2012. Cham : Springer, 2014. XXII, 460 S.MSC: MSC: *00B25 | 00A69LOC classification:
  • TA342-343
DOI: DOI: 10.1007/978-3-319-05365-3Online resources:
Contents:
Summary: Preface -- 25 Years of ECMI: A View Back to its Childhood -- Part I Circuits and Electromagnetic Devices -- Part II Environment -- Part III Fibers -- Part IV Flow -- Part V Medicine -- Part VI Robotics and Automotive Industry -- Part VII Further Applications -- Part VIII Methods -- Part IX EducationSummary: This book contains the proceedings of the 17th European Conference on Mathematics for Industry, ECMI2012, held in Lund, Sweden, July 2012, at which ECMI celebrated its 25th anniversary. It covers mathematics in a wide range of applications and methods, from circuit and electromagnetic devices, environment, fibers, flow, medicine, robotics and automotive industry, further applications to methods and education. The book includes contributions from leading figures in business, science and academia who promote the application of mathematics to industry and emphasize industrial sectors that offer the most exciting opportunities. The contributions reinforce the role of mathematics as being a catalyst for innovation as well as an overarching resource for industry and business. The book features an accessible presentation of real-world problems in industry and finance, provides insight and tools for engineers and scientists which will help them to solve similar problems, and offers modeling and simulation techniques that will provide mathematicians with a source of fresh ideas and inspirationPPN: PPN: 1657957012Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SXMS | ZDB-2-SMA
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