UK success stories in industrial mat...
Aston, Philip J.

 

  • UK success stories in industrial mathematics[electronic resource] /
  • 紀錄類型: 書目-語言資料,印刷品 : Monograph/item
    杜威分類號: 634.9015515
    書名/作者: UK success stories in industrial mathematics/ edited by Philip J. Aston, Anthony J. Mulholland, Katherine M.M. Tant.
    其他作者: Aston, Philip J.
    出版者: Cham : : Springer International Publishing :, 2016.
    面頁冊數: xiv, 303 p. : : ill., digital ;; 24 cm.
    Contained By: Springer eBooks
    標題: Mathematical models.
    標題: Mathematical statistics.
    標題: Forest microclimatology.
    標題: Ocean waves.
    標題: Aerospace engineering.
    標題: Mathematics.
    標題: Mathematical Modeling and Industrial Mathematics.
    標題: Applications of Mathematics.
    ISBN: 9783319254548
    ISBN: 9783319254524
    摘要、提要註: This publication showcases the work of UK mathematicians and statisticians by describing industrial problems that have been successfully solved, together with a summary of the financial and/or societal impact that arose from the work. The articles are grouped by sector, and include contributions to climate modelling, engineering and health. The articles are based on Impact Case Studies that were submitted to the Research Excellence Framework (REF2014), a UK government sponsored exercise that assessed the research quality within UK universities. There are many publications in the realm of 'popular mathematics' as well as a vast research literature that underpins this. This work is aimed at a middle ground between these two. Articles contain some mathematical detail, but the emphasis is on telling the story of a successful collaboration between academia and industry and on the results obtained. UK Success Stories in Industrial Mathematics is therefore accessible to a wide readership with interest in the applications of mathematics and statistics to problems of industrial importance and to those interested in how mathematics and statistics research affects our everyday lives and leads to economic and societal benefits.
    電子資源: http://dx.doi.org/10.1007/978-3-319-25454-8
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