國立虎尾科技大學 |

UK Success Stories in Industrial Mathematics

Record Type:	Language materials, printed : Monograph/item
Title/Author:	UK Success Stories in Industrial Mathematics/ edited by Philip J. Aston, Anthony J. Mulholland, Katherine M.M. Tant.
other author:	Aston, Philip J.
Description:	XIV, 303 p. 81 illus.online resource. :
Contained By:	Springer Nature eBook
Subject:	Mathematical models. -
Online resource:	https://doi.org/10.1007/978-3-319-25454-8
ISBN:	9783319254548

UK Success Stories in Industrial Mathematics
UK Success Stories in Industrial Mathematics[electronic resource] /edited by Philip J. Aston, Anthony J. Mulholland, Katherine M.M. Tant. - 1st ed. 2016. - XIV, 303 p. 81 illus.online resource.

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.

ISBN: 9783319254548

Standard No.: 10.1007/978-3-319-25454-8doiSubjects--Topical Terms:

527886
Mathematical models.

LC Class. No.: TA342-343

Dewey Class. No.: 003.3

UK Success Stories in Industrial Mathematics
LDR:02636nam a22003975i 4500 001 974682
003 DE-He213
005 20200706104233.0
007 cr nn 008mamaa
008 201211s2016 gw | s |||| 0|eng d
020 $a 9783319254548 $9 978-3-319-25454-8
024 7 $a 10.1007/978-3-319-25454-8 $2 doi
035 $a 978-3-319-25454-8
050 4 $a TA342-343
072 7 $a PBWH $2 bicssc
072 7 $a MAT003000 $2 bisacsh
072 7 $a PBWH $2 thema
072 7 $a TBJ $2 thema
082 0 4 $a 003.3 $2 23
245 1 0 $a UK Success Stories in Industrial Mathematics $h [electronic resource] / $c edited by Philip J. Aston, Anthony J. Mulholland, Katherine M.M. Tant.
250 $a 1st ed. 2016.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a XIV, 303 p. 81 illus. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
520 $a 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.
650 0 $a Mathematical models. $3 527886
650 0 $a Applied mathematics. $3 1069907
650 0 $a Engineering mathematics. $3 562757
650 1 4 $a Mathematical Modeling and Industrial Mathematics. $3 669172
650 2 4 $a Applications of Mathematics. $3 669175
700 1 $a Aston, Philip J. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1106156
700 1 $a Mulholland, Anthony J. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1106157
700 1 $a Tant, Katherine M.M. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1106158
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319254524
776 0 8 $i Printed edition: $z 9783319254531
776 0 8 $i Printed edition: $z 9783319797939
856 4 0 $u https://doi.org/10.1007/978-3-319-25454-8
912 $a ZDB-2-SMA
912 $a ZDB-2-SXMS
950 $a Mathematics and Statistics (SpringerNature-11649)
950 $a Mathematics and Statistics (R0) (SpringerNature-43713)