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00000nam a22000005i 4500 |
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978-3-540-71992-2 |
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|a 9783540719922
|9 978-3-540-71992-2
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|a 10.1007/978-3-540-71992-2
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|a PBKS
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|a 518
|2 23
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|a Progress in Industrial Mathematics at ECMI 2006
|h [electronic resource] /
|c edited by Luis L. Bonilla, Miguel Moscoso, Gloria Platero, Jose M. Vega.
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|a 1st ed. 2008.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2008.
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|a XXI, 988 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
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|2 rdamedia
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|a online resource
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|a text file
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|a The European Consortium for Mathematics in Industry ;
|v 12
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|a Plenary Lectures -- Minisymposia -- Contributed Papers.
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|a ECMI is synonymous with European Mathematics for Industry and organizes successful biannual conferences. The 14th European Conference for Mathematics in Industry held in Leganés (Madrid) focused on Aerospace, Information and Communications, Materials, Energy and Environment, Imaging, Biology and Biotechnology, Life Sciences, Finances and other topics including Education in Industrial Mathematics and web learning. Attendees came from all over the world. Overall, these proceedings give a lively overview of the importance of mathematical modeling, analysis and numerical methods when addressing and solving problems from today's real world applications. The accessible presentation of real problems from industry and finance, modeling, solutions via appropriate numerical and mathematical techniques are a source of fresh ideas and inspiration for mathematicians. Engineers and scientists in application fields may find useful ideas and techniques presented in familiar contexts that may help them to solve related problems in industry. Educators may find discussions of novel teaching experiences and examples from industrial contexts that could be useful devising curricula which include industrial mathematics and web learning.
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|a Mathematics-Data processing.
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|a Differential equations.
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|a Numerical analysis.
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|a Probabilities.
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|a Statistics .
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|a Computational Mathematics and Numerical Analysis.
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|a Differential Equations.
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2 |
4 |
|a Computational Science and Engineering.
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650 |
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|a Numerical Analysis.
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650 |
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|a Probability Theory.
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650 |
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|a Statistics in Business, Management, Economics, Finance, Insurance.
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700 |
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|a Bonilla, Luis L.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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700 |
1 |
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|a Moscoso, Miguel.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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700 |
1 |
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|a Platero, Gloria.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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700 |
1 |
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|a Vega, Jose M.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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710 |
2 |
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|a SpringerLink (Online service)
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773 |
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|t Springer Nature eBook
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776 |
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|i Printed edition:
|z 9783540837527
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776 |
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|i Printed edition:
|z 9783540719915
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776 |
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8 |
|i Printed edition:
|z 9783662501443
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830 |
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|a The European Consortium for Mathematics in Industry ;
|v 12
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856 |
4 |
0 |
|u https://doi.uam.elogim.com/10.1007/978-3-540-71992-2
|z Texto Completo
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912 |
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|a ZDB-2-SMA
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912 |
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|a ZDB-2-SXMS
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950 |
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|a Mathematics and Statistics (SpringerNature-11649)
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950 |
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|a Mathematics and Statistics (R0) (SpringerNature-43713)
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