TY  - BOOK
AU  - Bonilla,Luis L.
AU  - Moscoso,Miguel
AU  - Platero,Gloria
AU  - Vega,Jose M.
ED  - SpringerLink (Online service)
TI  - Progress in Industrial Mathematics at ECMI 2006
T2  - The European Consortium for Mathematics in Industry
SN  - 9783540719922
AV  - QA71-90 
U1  - 518 23
PY  - 2008///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg
KW  - Computer science
KW  - Mathematics
KW  - Differential equations, partial
KW  - Numerical analysis
KW  - Distribution (Probability theory
KW  - Statistics
KW  - Computational Mathematics and Numerical Analysis
KW  - Partial Differential Equations
KW  - Computational Science and Engineering
KW  - Numerical Analysis
KW  - Probability Theory and Stochastic Processes
KW  - Statistics for Business/Economics/Mathematical Finance/Insurance
N1  - Plenary Lectures -- Minisymposia -- Contributed Papers
N2  - 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
UR  - https://doi.org/10.1007/978-3-540-71992-2
ER  -